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id="order" name="order"><option selected value="-announced_date_first">Announcement date (newest first)</option><option value="announced_date_first">Announcement date (oldest first)</option><option value="-submitted_date">Submission date (newest first)</option><option value="submitted_date">Submission date (oldest first)</option><option value="">Relevance</option></select> </span> </div> <div class="control"> <button class="button is-small is-link">Go</button> </div> </div> </form> </div> </div> <ol class="breathe-horizontal" start="1"> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2411.14006">arXiv:2411.14006</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2411.14006">pdf</a>, <a href="https://arxiv.org/format/2411.14006">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Data Structures and Algorithms">cs.DS</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Hardware Architecture">cs.AR</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Computer Vision and Pattern Recognition">cs.CV</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Distributed, Parallel, and Cluster Computing">cs.DC</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Performance">cs.PF</span> </div> </div> <p class="title is-5 mathjax"> Experimental comparison of graph-based approximate nearest neighbor search algorithms on edge devices </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Ganbarov%2C+A">Ali Ganbarov</a>, <a href="/search/cs?searchtype=author&amp;query=Yuan%2C+J">Jicheng Yuan</a>, <a href="/search/cs?searchtype=author&amp;query=Le-Tuan%2C+A">Anh Le-Tuan</a>, <a href="/search/cs?searchtype=author&amp;query=Hauswirth%2C+M">Manfred Hauswirth</a>, <a href="/search/cs?searchtype=author&amp;query=Le-Phuoc%2C+D">Danh Le-Phuoc</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2411.14006v1-abstract-short" style="display: inline;"> In this paper, we present an experimental comparison of various graph-based approximate nearest neighbor (ANN) search algorithms deployed on edge devices for real-time nearest neighbor search applications, such as smart city infrastructure and autonomous vehicles. To the best of our knowledge, this specific comparative analysis has not been previously conducted. While existing research has explore&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.14006v1-abstract-full').style.display = 'inline'; document.getElementById('2411.14006v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2411.14006v1-abstract-full" style="display: none;"> In this paper, we present an experimental comparison of various graph-based approximate nearest neighbor (ANN) search algorithms deployed on edge devices for real-time nearest neighbor search applications, such as smart city infrastructure and autonomous vehicles. To the best of our knowledge, this specific comparative analysis has not been previously conducted. While existing research has explored graph-based ANN algorithms, it has often been limited to single-threaded implementations on standard commodity hardware. Our study leverages the full computational and storage capabilities of edge devices, incorporating additional metrics such as insertion and deletion latency of new vectors and power consumption. This comprehensive evaluation aims to provide valuable insights into the performance and suitability of these algorithms for edge-based real-time tracking systems enhanced by nearest-neighbor search algorithms. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.14006v1-abstract-full').style.display = 'none'; document.getElementById('2411.14006v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 21 November, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2408.05764">arXiv:2408.05764</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2408.05764">pdf</a>, <a href="https://arxiv.org/format/2408.05764">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Robotics">cs.RO</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Signal Processing">eess.SP</span> </div> </div> <p class="title is-5 mathjax"> A robust baro-radar-inertial odometry m-estimator for multicopter navigation in cities and forests </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Girod%2C+R">Rik Girod</a>, <a href="/search/cs?searchtype=author&amp;query=Hauswirth%2C+M">Marco Hauswirth</a>, <a href="/search/cs?searchtype=author&amp;query=Pfreundschuh%2C+P">Patrick Pfreundschuh</a>, <a href="/search/cs?searchtype=author&amp;query=Biasio%2C+M">Mariano Biasio</a>, <a href="/search/cs?searchtype=author&amp;query=Siegwart%2C+R">Roland Siegwart</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2408.05764v1-abstract-short" style="display: inline;"> Search and rescue operations require mobile robots to navigate unstructured indoor and outdoor environments. In particular, actively stabilized multirotor drones need precise movement data to balance and avoid obstacles. Combining radial velocities from on-chip radar with MEMS inertial sensing has proven to provide robust, lightweight, and consistent state estimation, even in visually or geometric&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2408.05764v1-abstract-full').style.display = 'inline'; document.getElementById('2408.05764v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2408.05764v1-abstract-full" style="display: none;"> Search and rescue operations require mobile robots to navigate unstructured indoor and outdoor environments. In particular, actively stabilized multirotor drones need precise movement data to balance and avoid obstacles. Combining radial velocities from on-chip radar with MEMS inertial sensing has proven to provide robust, lightweight, and consistent state estimation, even in visually or geometrically degraded environments. Statistical tests robustify these estimators against radar outliers. However, available work with binary outlier filters lacks adaptability to various hardware setups and environments. Other work has predominantly been tested in handheld static environments or automotive contexts. This work introduces a robust baro-radar-inertial odometry (BRIO) m-estimator for quadcopter flights in typical GNSS-denied scenarios. Extensive real-world closed-loop flights in cities and forests demonstrate robustness to moving objects and ghost targets, maintaining a consistent performance with 0.5 % to 3.2 % drift per distance traveled. Benchmarks on public datasets validate the system&#39;s generalizability. The code, dataset, and video are available at https://github.com/ethz-asl/rio. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2408.05764v1-abstract-full').style.display = 'none'; document.getElementById('2408.05764v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 11 August, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> August 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">Accepted for publication at IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) 2024</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2406.14792">arXiv:2406.14792</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2406.14792">pdf</a>, <a href="https://arxiv.org/format/2406.14792">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Quantum Physics">quant-ph</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Programming Languages">cs.PL</span> </div> </div> <p class="title is-5 mathjax"> Qrisp: A Framework for Compilable High-Level Programming of Gate-Based Quantum Computers </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Seidel%2C+R">Raphael Seidel</a>, <a href="/search/cs?searchtype=author&amp;query=Bock%2C+S">Sebastian Bock</a>, <a href="/search/cs?searchtype=author&amp;query=Zander%2C+R">Ren茅 Zander</a>, <a href="/search/cs?searchtype=author&amp;query=Petri%C4%8D%2C+M">Matic Petri膷</a>, <a href="/search/cs?searchtype=author&amp;query=Steinmann%2C+N">Niklas Steinmann</a>, <a href="/search/cs?searchtype=author&amp;query=Tcholtchev%2C+N">Nikolay Tcholtchev</a>, <a href="/search/cs?searchtype=author&amp;query=Hauswirth%2C+M">Manfred Hauswirth</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2406.14792v1-abstract-short" style="display: inline;"> While significant progress has been made on the hardware side of quantum computing, support for high-level quantum programming abstractions remains underdeveloped compared to classical programming languages. In this article, we introduce Qrisp, a framework designed to bridge several gaps between high-level programming paradigms in state-of-the-art software engineering and the physical reality of t&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2406.14792v1-abstract-full').style.display = 'inline'; document.getElementById('2406.14792v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2406.14792v1-abstract-full" style="display: none;"> While significant progress has been made on the hardware side of quantum computing, support for high-level quantum programming abstractions remains underdeveloped compared to classical programming languages. In this article, we introduce Qrisp, a framework designed to bridge several gaps between high-level programming paradigms in state-of-the-art software engineering and the physical reality of today&#39;s quantum hardware. The framework aims to provide a systematic approach to quantum algorithm development such that they can be effortlessly implemented, maintained and improved. We propose a number of programming abstractions that are inspired by classical paradigms, yet consistently focus on the particular needs of a quantum developer. Unlike many other high-level language approaches, Qrisp&#39;s standout feature is its ability to compile programs to the circuit level, making them executable on most existing physical backends. The introduced abstractions enable the Qrisp compiler to leverage algorithm structure for increased compilation efficiency. Finally, we present a set of code examples, including an implementation of Shor&#39;s factoring algorithm. For the latter, the resulting circuit shows significantly reduced quantum resource requirements, strongly supporting the claim that systematic quantum algorithm development can give quantitative benefits. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2406.14792v1-abstract-full').style.display = 'none'; document.getElementById('2406.14792v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 20 June, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> June 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2404.01988">arXiv:2404.01988</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2404.01988">pdf</a>, <a href="https://arxiv.org/format/2404.01988">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computer Vision and Pattern Recognition">cs.CV</span> </div> </div> <p class="title is-5 mathjax"> Cooperative Students: Navigating Unsupervised Domain Adaptation in Nighttime Object Detection </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Yuan%2C+J">Jicheng Yuan</a>, <a href="/search/cs?searchtype=author&amp;query=Le-Tuan%2C+A">Anh Le-Tuan</a>, <a href="/search/cs?searchtype=author&amp;query=Hauswirth%2C+M">Manfred Hauswirth</a>, <a href="/search/cs?searchtype=author&amp;query=Le-Phuoc%2C+D">Danh Le-Phuoc</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2404.01988v3-abstract-short" style="display: inline;"> Unsupervised Domain Adaptation (UDA) has shown significant advancements in object detection under well-lit conditions; however, its performance degrades notably in low-visibility scenarios, especially at night, posing challenges not only for its adaptability in low signal-to-noise ratio (SNR) conditions but also for the reliability and efficiency of automated vehicles. To address this problem, we&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2404.01988v3-abstract-full').style.display = 'inline'; document.getElementById('2404.01988v3-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2404.01988v3-abstract-full" style="display: none;"> Unsupervised Domain Adaptation (UDA) has shown significant advancements in object detection under well-lit conditions; however, its performance degrades notably in low-visibility scenarios, especially at night, posing challenges not only for its adaptability in low signal-to-noise ratio (SNR) conditions but also for the reliability and efficiency of automated vehicles. To address this problem, we propose a \textbf{Co}operative \textbf{S}tudents (\textbf{CoS}) framework that innovatively employs global-local transformations (GLT) and a proxy-based target consistency (PTC) mechanism to capture the spatial consistency in day- and night-time scenarios effectively, and thus bridge the significant domain shift across contexts. Building upon this, we further devise an adaptive IoU-informed thresholding (AIT) module to gradually avoid overlooking potential true positives and enrich the latent information in the target domain. Comprehensive experiments show that CoS essentially enhanced UDA performance in low-visibility conditions and surpasses current state-of-the-art techniques, achieving an increase in mAP of 3.0\%, 1.9\%, and 2.5\% on BDD100K, SHIFT, and ACDC datasets, respectively. Code is available at https://github.com/jichengyuan/Cooperitive_Students. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2404.01988v3-abstract-full').style.display = 'none'; document.getElementById('2404.01988v3-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 8 May, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 2 April, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> April 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">Code is available at https://github.com/jichengyuan/Cooperitive_Students</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2402.10060">arXiv:2402.10060</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2402.10060">pdf</a>, <a href="https://arxiv.org/format/2402.10060">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Quantum Physics">quant-ph</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Data Structures and Algorithms">cs.DS</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Programming Languages">cs.PL</span> </div> </div> <p class="title is-5 mathjax"> Quantum Backtracking in Qrisp Applied to Sudoku Problems </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Seidel%2C+R">Raphael Seidel</a>, <a href="/search/cs?searchtype=author&amp;query=Zander%2C+R">Ren茅 Zander</a>, <a href="/search/cs?searchtype=author&amp;query=Petri%C4%8D%2C+M">Matic Petri膷</a>, <a href="/search/cs?searchtype=author&amp;query=Steinmann%2C+N">Niklas Steinmann</a>, <a href="/search/cs?searchtype=author&amp;query=Liu%2C+D+Q">David Q. Liu</a>, <a href="/search/cs?searchtype=author&amp;query=Tcholtchev%2C+N">Nikolay Tcholtchev</a>, <a href="/search/cs?searchtype=author&amp;query=Hauswirth%2C+M">Manfred Hauswirth</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2402.10060v3-abstract-short" style="display: inline;"> The quantum backtracking algorithm proposed by Ashley Montanaro raised considerable interest, as it provides a quantum speed-up for a large class of classical optimization algorithms. It does not suffer from Barren-Plateaus and transfers well into the fault-tolerant era, as it requires only a limited number of arbitrary angle gates. Despite its potential, the algorithm has seen limited implementat&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2402.10060v3-abstract-full').style.display = 'inline'; document.getElementById('2402.10060v3-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2402.10060v3-abstract-full" style="display: none;"> The quantum backtracking algorithm proposed by Ashley Montanaro raised considerable interest, as it provides a quantum speed-up for a large class of classical optimization algorithms. It does not suffer from Barren-Plateaus and transfers well into the fault-tolerant era, as it requires only a limited number of arbitrary angle gates. Despite its potential, the algorithm has seen limited implementation efforts, presumably due to its abstract formulation. In this work, we provide a detailed instruction on implementing the quantum step operator for arbitrary backtracking instances. For a single controlled diffuser of a binary backtracking tree with depth n, our implementation requires only $6n+14$ CX gates. We detail the process of constructing accept and reject oracles for Sudoku problems using our interface to quantum backtracking. The presented code is written using Qrisp, a high-level quantum programming language, making it executable on most current physical backends and simulators. Subsequently, we perform several simulator based experiments and demonstrate solving 4x4 Sudoku instances with up to 9 empty fields. This is, to the best of our knowledge, the first instance of a compilable implementation of this generality, marking a significant and exciting step forward in quantum software engineering. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2402.10060v3-abstract-full').style.display = 'none'; document.getElementById('2402.10060v3-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 4 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 15 February, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> February 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2309.13610">arXiv:2309.13610</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2309.13610">pdf</a>, <a href="https://arxiv.org/format/2309.13610">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computer Vision and Pattern Recognition">cs.CV</span> </div> </div> <p class="title is-5 mathjax"> VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Yuan%2C+J">Jicheng Yuan</a>, <a href="/search/cs?searchtype=author&amp;query=Le-Tuan%2C+A">Anh Le-Tuan</a>, <a href="/search/cs?searchtype=author&amp;query=Nguyen-Duc%2C+M">Manh Nguyen-Duc</a>, <a href="/search/cs?searchtype=author&amp;query=Tran%2C+T">Trung-Kien Tran</a>, <a href="/search/cs?searchtype=author&amp;query=Hauswirth%2C+M">Manfred Hauswirth</a>, <a href="/search/cs?searchtype=author&amp;query=Le-Phuoc%2C+D">Danh Le-Phuoc</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2309.13610v2-abstract-short" style="display: inline;"> The availability of vast amounts of visual data with heterogeneous features is a key factor for developing, testing, and benchmarking of new computer vision (CV) algorithms and architectures. Most visual datasets are created and curated for specific tasks or with limited image data distribution for very specific situations, and there is no unified approach to manage and access them across diverse&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2309.13610v2-abstract-full').style.display = 'inline'; document.getElementById('2309.13610v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2309.13610v2-abstract-full" style="display: none;"> The availability of vast amounts of visual data with heterogeneous features is a key factor for developing, testing, and benchmarking of new computer vision (CV) algorithms and architectures. Most visual datasets are created and curated for specific tasks or with limited image data distribution for very specific situations, and there is no unified approach to manage and access them across diverse sources, tasks, and taxonomies. This not only creates unnecessary overheads when building robust visual recognition systems, but also introduces biases into learning systems and limits the capabilities of data-centric AI. To address these problems, we propose the Vision Knowledge Graph (VisionKG), a novel resource that interlinks, organizes and manages visual datasets via knowledge graphs and Semantic Web technologies. It can serve as a unified framework facilitating simple access and querying of state-of-the-art visual datasets, regardless of their heterogeneous formats and taxonomies. One of the key differences between our approach and existing methods is that ours is knowledge-based rather than metadatabased. It enhances the enrichment of the semantics at both image and instance levels and offers various data retrieval and exploratory services via SPARQL. VisionKG currently contains 519 million RDF triples that describe approximately 40 million entities, and are accessible at https://vision.semkg.org and through APIs. With the integration of 30 datasets and four popular CV tasks, we demonstrate its usefulness across various scenarios when working with CV pipelines. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2309.13610v2-abstract-full').style.display = 'none'; document.getElementById('2309.13610v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 28 March, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 24 September, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2023. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">Accepted at ESWC 2024</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2202.13958">arXiv:2202.13958</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2202.13958">pdf</a>, <a href="https://arxiv.org/format/2202.13958">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Databases">cs.DB</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Artificial Intelligence">cs.AI</span> </div> </div> <p class="title is-5 mathjax"> CQELS 2.0: Towards A Unified Framework for Semantic Stream Fusion </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Le-Tuan%2C+A">Anh Le-Tuan</a>, <a href="/search/cs?searchtype=author&amp;query=Nguyen-Duc%2C+M">Manh Nguyen-Duc</a>, <a href="/search/cs?searchtype=author&amp;query=Le%2C+C">Chien-Quang Le</a>, <a href="/search/cs?searchtype=author&amp;query=Tran%2C+T">Trung-Kien Tran</a>, <a href="/search/cs?searchtype=author&amp;query=Hauswirth%2C+M">Manfred Hauswirth</a>, <a href="/search/cs?searchtype=author&amp;query=Eiter%2C+T">Thomas Eiter</a>, <a href="/search/cs?searchtype=author&amp;query=Le-Phuoc%2C+D">Danh Le-Phuoc</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2202.13958v1-abstract-short" style="display: inline;"> We present CQELS 2.0, the second version of Continuous Query Evaluation over Linked Streams. CQELS 2.0 is a platform-agnostic federated execution framework towards semantic stream fusion. In this version, we introduce a novel neural-symbolic stream reasoning component that enables specifying deep neural network (DNN) based data fusion pipelines via logic rules with learnable probabilistic degrees&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2202.13958v1-abstract-full').style.display = 'inline'; document.getElementById('2202.13958v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2202.13958v1-abstract-full" style="display: none;"> We present CQELS 2.0, the second version of Continuous Query Evaluation over Linked Streams. CQELS 2.0 is a platform-agnostic federated execution framework towards semantic stream fusion. In this version, we introduce a novel neural-symbolic stream reasoning component that enables specifying deep neural network (DNN) based data fusion pipelines via logic rules with learnable probabilistic degrees as weights. As a platform-agnostic framework, CQELS 2.0 can be implemented for devices with different hardware architectures (from embedded devices to cloud infrastructures). Moreover, this version also includes an adaptive federator that allows CQELS instances on different nodes in a network to coordinate their resources to distribute processing pipelines by delegating partial workloads to their peers via subscribing continuous queries <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2202.13958v1-abstract-full').style.display = 'none'; document.getElementById('2202.13958v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 15 February, 2022; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> February 2022. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Stream Reasoning Workshop 2021 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2201.11625">arXiv:2201.11625</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2201.11625">pdf</a>, <a href="https://arxiv.org/format/2201.11625">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Robotics">cs.RO</span> </div> </div> <p class="title is-5 mathjax"> SemRob: Towards Semantic Stream Reasoning for Robotic Operating Systems </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Nguyen-Duc%2C+M">Manh Nguyen-Duc</a>, <a href="/search/cs?searchtype=author&amp;query=Le-Tuan%2C+A">Anh Le-Tuan</a>, <a href="/search/cs?searchtype=author&amp;query=Hauswirth%2C+M">Manfred Hauswirth</a>, <a href="/search/cs?searchtype=author&amp;query=Bowden%2C+D">David Bowden</a>, <a href="/search/cs?searchtype=author&amp;query=Le-Phuoc%2C+D">Danh Le-Phuoc</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2201.11625v1-abstract-short" style="display: inline;"> Stream processing and reasoning is getting considerable attention in various application domains such as IoT, Industry IoT and Smart Cities. In parallel, reasoning and knowledge-based features have attracted research into many areas of robotics, such as robotic mapping, perception and interaction. To this end, the Semantic Stream Reasoning (SSR) framework can unify the representations of symbolic/&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2201.11625v1-abstract-full').style.display = 'inline'; document.getElementById('2201.11625v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2201.11625v1-abstract-full" style="display: none;"> Stream processing and reasoning is getting considerable attention in various application domains such as IoT, Industry IoT and Smart Cities. In parallel, reasoning and knowledge-based features have attracted research into many areas of robotics, such as robotic mapping, perception and interaction. To this end, the Semantic Stream Reasoning (SSR) framework can unify the representations of symbolic/semantic streams with deep neural networks, to integrate high-dimensional data streams, such as video streams and LiDAR point clouds, with traditional graph or relational stream data. As such, this positioning and system paper will outline our approach to build a platform to facilitate semantic stream reasoning capabilities on a robotic operating system called SemRob. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2201.11625v1-abstract-full').style.display = 'none'; document.getElementById('2201.11625v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 27 January, 2022; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> January 2022. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Stream Reasoning Workshop, Milano 2021 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2112.10537">arXiv:2112.10537</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2112.10537">pdf</a>, <a href="https://arxiv.org/format/2112.10537">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Quantum Physics">quant-ph</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Hardware Architecture">cs.AR</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Emerging Technologies">cs.ET</span> </div> </div> <p class="title is-5 mathjax"> Efficient Floating Point Arithmetic for Quantum Computers </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Seidel%2C+R">Raphael Seidel</a>, <a href="/search/cs?searchtype=author&amp;query=Tcholtchev%2C+N">Nikolay Tcholtchev</a>, <a href="/search/cs?searchtype=author&amp;query=Bock%2C+S">Sebastian Bock</a>, <a href="/search/cs?searchtype=author&amp;query=Becker%2C+C+K">Colin Kai-Uwe Becker</a>, <a href="/search/cs?searchtype=author&amp;query=Hauswirth%2C+M">Manfred Hauswirth</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2112.10537v1-abstract-short" style="display: inline;"> One of the major promises of quantum computing is the realization of SIMD (single instruction - multiple data) operations using the phenomenon of superposition. Since the dimension of the state space grows exponentially with the number of qubits, we can easily reach situations where we pay less than a single quantum gate per data point for data-processing instructions which would be rather expensi&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2112.10537v1-abstract-full').style.display = 'inline'; document.getElementById('2112.10537v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2112.10537v1-abstract-full" style="display: none;"> One of the major promises of quantum computing is the realization of SIMD (single instruction - multiple data) operations using the phenomenon of superposition. Since the dimension of the state space grows exponentially with the number of qubits, we can easily reach situations where we pay less than a single quantum gate per data point for data-processing instructions which would be rather expensive in classical computing. Formulating such instructions in terms of quantum gates, however, still remains a challenging task. Laying out the foundational functions for more advanced data-processing is therefore a subject of paramount importance for advancing the realm of quantum computing. In this paper, we introduce the formalism of encoding so called-semi-boolean polynomials. As it turns out, arithmetic $\mathbb{Z}/2^n\mathbb{Z}$ ring operations can be formulated as semi-boolean polynomial evaluations, which allows convenient generation of unsigned integer arithmetic quantum circuits. For arithmetic evaluations, the resulting algorithm has been known as Fourier-arithmetic. We extend this type of algorithm with additional features, such as ancilla-free in-place multiplication and integer coefficient polynomial evaluation. Furthermore, we introduce a tailor-made method for encoding signed integers succeeded by an encoding for arbitrary floating-point numbers. This representation of floating-point numbers and their processing can be applied to any quantum algorithm that performs unsigned modular integer arithmetic. We discuss some further performance enhancements of the semi boolean polynomial encoder and finally supply a complexity estimation. The application of our methods to a 32-bit unsigned integer multiplication demonstrated a 90\% circuit depth reduction compared to carry-ripple approaches. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2112.10537v1-abstract-full').style.display = 'none'; document.getElementById('2112.10537v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 20 December, 2021; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> December 2021. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2110.07545">arXiv:2110.07545</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2110.07545">pdf</a>, <a href="https://arxiv.org/format/2110.07545">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Quantum Physics">quant-ph</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Emerging Technologies">cs.ET</span> </div> </div> <p class="title is-5 mathjax"> Automatic Generation of Grover Quantum Oracles for Arbitrary Data Structures </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Seidel%2C+R">Raphael Seidel</a>, <a href="/search/cs?searchtype=author&amp;query=Becker%2C+C+K">Colin Kai-Uwe Becker</a>, <a href="/search/cs?searchtype=author&amp;query=Bock%2C+S">Sebastian Bock</a>, <a href="/search/cs?searchtype=author&amp;query=Tcholtchev%2C+N">Nikolay Tcholtchev</a>, <a href="/search/cs?searchtype=author&amp;query=Gheorge-Pop%2C+I">Ilie-Daniel Gheorge-Pop</a>, <a href="/search/cs?searchtype=author&amp;query=Hauswirth%2C+M">Manfred Hauswirth</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2110.07545v1-abstract-short" style="display: inline;"> The steadily growing research interest in quantum computing - together with the accompanying technological advances in the realization of quantum hardware - fuels the development of meaningful real-world applications, as well as implementations for well-known quantum algorithms. One of the most prominent examples till today is Grover&#39;s algorithm, which can be used for efficient search in unstructu&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2110.07545v1-abstract-full').style.display = 'inline'; document.getElementById('2110.07545v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2110.07545v1-abstract-full" style="display: none;"> The steadily growing research interest in quantum computing - together with the accompanying technological advances in the realization of quantum hardware - fuels the development of meaningful real-world applications, as well as implementations for well-known quantum algorithms. One of the most prominent examples till today is Grover&#39;s algorithm, which can be used for efficient search in unstructured databases. Quantum oracles that are frequently masked as black boxes play an important role in Grover&#39;s algorithm. Hence, the automatic generation of oracles is of paramount importance. Moreover, the automatic generation of the corresponding circuits for a Grover quantum oracle is deeply linked to the synthesis of reversible quantum logic, which - despite numerous advances in the field - still remains a challenge till today in terms of synthesizing efficient and scalable circuits for complex boolean functions. In this paper, we present a flexible method for automatically encoding unstructured databases into oracles, which can then be efficiently searched with Grover&#39;s algorithm. Furthermore, we develop a tailor-made method for quantum logic synthesis, which vastly improves circuit complexity over other current approaches. Finally, we present another logic synthesis method that considers the requirements of scaling onto real world backends. We compare our method with other approaches through evaluating the oracle generation for random databases and analyzing the resulting circuit complexities using various metrics. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2110.07545v1-abstract-full').style.display = 'none'; document.getElementById('2110.07545v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 14 October, 2021; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2021. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2005.02614">arXiv:2005.02614</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2005.02614">pdf</a>, <a href="https://arxiv.org/format/2005.02614">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Information Retrieval">cs.IR</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Digital Libraries">cs.DL</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Software Engineering">cs.SE</span> </div> </div> <p class="title is-5 mathjax"> Piveau: A Large-scale Open Data Management Platform based on Semantic Web Technologies </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Kirstein%2C+F">Fabian Kirstein</a>, <a href="/search/cs?searchtype=author&amp;query=Stefanidis%2C+K">Kyriakos Stefanidis</a>, <a href="/search/cs?searchtype=author&amp;query=Dittwald%2C+B">Benjamin Dittwald</a>, <a href="/search/cs?searchtype=author&amp;query=Dutkowski%2C+S">Simon Dutkowski</a>, <a href="/search/cs?searchtype=author&amp;query=Urbanek%2C+S">Sebastian Urbanek</a>, <a href="/search/cs?searchtype=author&amp;query=Hauswirth%2C+M">Manfred Hauswirth</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2005.02614v1-abstract-short" style="display: inline;"> The publication and (re)utilization of Open Data is still facing multiple barriers on technical, organizational and legal levels. This includes limitations in interfaces, search capabilities, provision of quality information and the lack of definite standards and implementation guidelines. Many Semantic Web specifications and technologies are specifically designed to address the publication of dat&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2005.02614v1-abstract-full').style.display = 'inline'; document.getElementById('2005.02614v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2005.02614v1-abstract-full" style="display: none;"> The publication and (re)utilization of Open Data is still facing multiple barriers on technical, organizational and legal levels. This includes limitations in interfaces, search capabilities, provision of quality information and the lack of definite standards and implementation guidelines. Many Semantic Web specifications and technologies are specifically designed to address the publication of data on the web. In addition, many official publication bodies encourage and foster the development of Open Data standards based on Semantic Web principles. However, no existing solution for managing Open Data takes full advantage of these possibilities and benfits. In this paper, we present our solution &#34;Piveau&#34;, a fully-fledged Open Data management solution, based on Semantic Web technologies. It harnesses a variety of standards, like RDF, DCAT, DQV, and SKOS, to overcome the barriers in Open Data publication. The solution puts a strong focus on assuring data quality and scalability. We give a detailed description of the underlying, highly scalable, service-oriented architecture, how we integrated the aforementioned standards, and used a triplestore as our primary database. We have evaluated our work in a comprehensive feature comparison to established solutions and through a practical application in a production environment, the European Data Portal. Our solution is available as Open Source. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2005.02614v1-abstract-full').style.display = 'none'; document.getElementById('2005.02614v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 6 May, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> May 2020. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">16 pages, 2 figures, preprint of an in-use paper at Extended Semantic Web Conference (ESWC 2020)</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1402.5255">arXiv:1402.5255</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1402.5255">pdf</a>, <a href="https://arxiv.org/ps/1402.5255">ps</a>, <a href="https://arxiv.org/format/1402.5255">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Human-Computer Interaction">cs.HC</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Information Retrieval">cs.IR</span> </div> </div> <p class="title is-5 mathjax"> Analysing Parallel and Passive Web Browsing Behavior and its Effects on Website Metrics </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=von+der+Weth%2C+C">Christian von der Weth</a>, <a href="/search/cs?searchtype=author&amp;query=Hauswirth%2C+M">Manfred Hauswirth</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1402.5255v1-abstract-short" style="display: inline;"> Getting deeper insights into the online browsing behavior of Web users has been a major research topic since the advent of the WWW. It provides useful information to optimize website design, Web browser design, search engines offerings, and online advertisement. We argue that new technologies and new services continue to have significant effects on the way how people browse the Web. For example, l&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1402.5255v1-abstract-full').style.display = 'inline'; document.getElementById('1402.5255v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1402.5255v1-abstract-full" style="display: none;"> Getting deeper insights into the online browsing behavior of Web users has been a major research topic since the advent of the WWW. It provides useful information to optimize website design, Web browser design, search engines offerings, and online advertisement. We argue that new technologies and new services continue to have significant effects on the way how people browse the Web. For example, listening to music clips on YouTube or to a radio station on Last.fm does not require users to sit in front of their computer. Social media and networking sites like Facebook or micro-blogging sites like Twitter have attracted new types of users that previously were less inclined to go online. These changes in how people browse the Web feature new characteristics which are not well understood so far. In this paper, we provide novel and unique insights by presenting first results of DOBBS, our long-term effort to create a comprehensive and representative dataset capturing online user behavior. We firstly investigate the concepts of parallel browsing and passive browsing, showing that browsing the Web is no longer a dedicated task for many users. Based on these results, we then analyze their impact on the calculation of a user&#39;s dwell time -- i.e., the time the user spends on a webpage -- which has become an important metric to quantify the popularity of websites. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1402.5255v1-abstract-full').style.display = 'none'; document.getElementById('1402.5255v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 21 February, 2014; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> February 2014. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">22 pages, 11 figures, 3 tables, 29 references. arXiv admin note: text overlap with arXiv:1307.1542</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">ACM Class:</span> H.1.2; H.5.3; H.5.4 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1310.2864">arXiv:1310.2864</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1310.2864">pdf</a>, <a href="https://arxiv.org/ps/1310.2864">ps</a>, <a href="https://arxiv.org/format/1310.2864">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computers and Society">cs.CY</span> </div> </div> <p class="title is-5 mathjax"> Virtual Location-Based Services: Merging the Physical and Virtual World </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=von+der+Weth%2C+C">Christian von der Weth</a>, <a href="/search/cs?searchtype=author&amp;query=Hegde%2C+V">Vinod Hegde</a>, <a href="/search/cs?searchtype=author&amp;query=Hauswirth%2C+M">Manfred Hauswirth</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1310.2864v1-abstract-short" style="display: inline;"> Location-based services gained much popularity through providing users with helpful information with respect to their current location. The search and recommendation of nearby locations or places, and the navigation to a specific location are some of the most prominent location-based services. As a recent trend, virtual location-based services consider webpages or sites associated with a location&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1310.2864v1-abstract-full').style.display = 'inline'; document.getElementById('1310.2864v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1310.2864v1-abstract-full" style="display: none;"> Location-based services gained much popularity through providing users with helpful information with respect to their current location. The search and recommendation of nearby locations or places, and the navigation to a specific location are some of the most prominent location-based services. As a recent trend, virtual location-based services consider webpages or sites associated with a location as &#39;virtual locations&#39; that online users can visit in spite of not being physically present at the location. The presence of links between virtual locations and the corresponding physical locations (e.g., geo-location information of a restaurant linked to its website), allows for novel types of services and applications which constitute virtual location-based services (VLBS). The quality and potential benefits of such services largely depends on the existence of websites referring to physical locations. In this paper, we investigate the usefulness of linking virtual and physical locations. For this, we analyze the presence and distribution of virtual locations, i.e., websites referring to places, for two Irish cities. Using simulated tracks based on a user movement model, we investigate how mobile users move through the Web as virtual space. Our results show that virtual locations are omnipresent in urban areas, and that the situation that a user is close to even several such locations at any time is rather the normal case instead of the exception. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1310.2864v1-abstract-full').style.display = 'none'; document.getElementById('1310.2864v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 10 October, 2013; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2013. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1307.1543">arXiv:1307.1543</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1307.1543">pdf</a>, <a href="https://arxiv.org/ps/1307.1543">ps</a>, <a href="https://arxiv.org/format/1307.1543">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Information Retrieval">cs.IR</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Social and Information Networks">cs.SI</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1109/WI-IAT.2013.6">10.1109/WI-IAT.2013.6 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Finding Information Through Integrated Ad-Hoc Socializing in the Virtual and Physical World </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=von+der+Weth%2C+C">Christian von der Weth</a>, <a href="/search/cs?searchtype=author&amp;query=Hauswirth%2C+M">Manfred Hauswirth</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1307.1543v1-abstract-short" style="display: inline;"> Despite the services of sophisticated search engines like Google, there are a number of interesting information sources which are useful but largely inaccessible to current Web users. These information sources are often ad-hoc, location-specific and only useful for users over short periods of time, or relate to tacit knowledge of users or implicit knowledge in crowds. The solution presented in thi&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1307.1543v1-abstract-full').style.display = 'inline'; document.getElementById('1307.1543v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1307.1543v1-abstract-full" style="display: none;"> Despite the services of sophisticated search engines like Google, there are a number of interesting information sources which are useful but largely inaccessible to current Web users. These information sources are often ad-hoc, location-specific and only useful for users over short periods of time, or relate to tacit knowledge of users or implicit knowledge in crowds. The solution presented in this paper addresses these problems by introducing an integrated concept of &#34;location&#34; and &#34;presence&#34; across the physical and virtual worlds enabling ad-hoc socializing of users interested in, or looking for similar information. While the definition of presence in the physical world is straightforward - through a spatial location and vicinity at a certain point in time - their definitions in the virtual world are neither obvious nor trivial. Based on a detailed analysis we provide an integrated spatial model spanning both worlds which enables us to define presence of users in a unified way. This integrated model allows us to enable ad-hoc socializing of users browsing the Web with users in the physical world specific to their joint information needs and allows us to unlock the untapped information sources mentioned above. We describe a proof-of-concept implementation of our model and provide an empirical analysis based on real-world experiments. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1307.1543v1-abstract-full').style.display = 'none'; document.getElementById('1307.1543v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 5 July, 2013; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> July 2013. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1307.1542">arXiv:1307.1542</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1307.1542">pdf</a>, <a href="https://arxiv.org/ps/1307.1542">ps</a>, <a href="https://arxiv.org/format/1307.1542">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Human-Computer Interaction">cs.HC</span> </div> </div> <p class="title is-5 mathjax"> DOBBS: Towards a Comprehensive Dataset to Study the Browsing Behavior of Online Users </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=von+der+Weth%2C+C">Christian von der Weth</a>, <a href="/search/cs?searchtype=author&amp;query=Hauswirth%2C+M">Manfred Hauswirth</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1307.1542v1-abstract-short" style="display: inline;"> The investigation of the browsing behavior of users provides useful information to optimize web site design, web browser design, search engines offerings, and online advertisement. This has been a topic of active research since the Web started and a large body of work exists. However, new online services as well as advances in Web and mobile technologies clearly changed the meaning behind &#34;browsin&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1307.1542v1-abstract-full').style.display = 'inline'; document.getElementById('1307.1542v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1307.1542v1-abstract-full" style="display: none;"> The investigation of the browsing behavior of users provides useful information to optimize web site design, web browser design, search engines offerings, and online advertisement. This has been a topic of active research since the Web started and a large body of work exists. However, new online services as well as advances in Web and mobile technologies clearly changed the meaning behind &#34;browsing the Web&#34; and require a fresh look at the problem and research, specifically in respect to whether the used models are still appropriate. Platforms such as YouTube, Netflix or last.fm have started to replace the traditional media channels (cinema, television, radio) and media distribution formats (CD, DVD, Blu-ray). Social networks (e.g., Facebook) and platforms for browser games attracted whole new, particularly less tech-savvy audiences. Furthermore, advances in mobile technologies and devices made browsing &#34;on-the-move&#34; the norm and changed the user behavior as in the mobile case browsing is often being influenced by the user&#39;s location and context in the physical world. Commonly used datasets, such as web server access logs or search engines transaction logs, are inherently not capable of capturing the browsing behavior of users in all these facets. DOBBS (DERI Online Behavior Study) is an effort to create such a dataset in a non-intrusive, completely anonymous and privacy-preserving way. To this end, DOBBS provides a browser add-on that users can install, which keeps track of their browsing behavior (e.g., how much time they spent on the Web, how long they stay on a website, how often they visit a website, how they use their browser, etc.). In this paper, we outline the motivation behind DOBBS, describe the add-on and captured data in detail, and present some first results to highlight the strengths of DOBBS. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1307.1542v1-abstract-full').style.display = 'none'; document.getElementById('1307.1542v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 5 July, 2013; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> July 2013. </p> </li> </ol> <div class="is-hidden-tablet"> <!-- feedback for mobile only --> <span class="help" style="display: inline-block;"><a href="https://github.com/arXiv/arxiv-search/releases">Search v0.5.6 released 2020-02-24</a>&nbsp;&nbsp;</span> </div> </div> </main> <footer> <div class="columns is-desktop" role="navigation" aria-label="Secondary"> <!-- MetaColumn 1 --> 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