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Introducing our public SPARQL query service – blog.dblp.org
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class="screen-reader-text">Search for:</span> <input type="search" class="search-field" placeholder="Search …" value="" name="s" /> </label> <input type="submit" class="search-submit" value="Search" /> </form></div><a class="hestia-toggle-search"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" width="16" height="16"><path d="M505 442.7L405.3 343c-4.5-4.5-10.6-7-17-7H372c27.6-35.3 44-79.7 44-128C416 93.1 322.9 0 208 0S0 93.1 0 208s93.1 208 208 208c48.3 0 92.7-16.4 128-44v16.3c0 6.4 2.5 12.5 7 17l99.7 99.7c9.4 9.4 24.6 9.4 33.9 0l28.3-28.3c9.4-9.4 9.4-24.6.1-34zM208 336c-70.7 0-128-57.2-128-128 0-70.7 57.2-128 128-128 70.7 0 128 57.2 128 128 0 70.7-57.2 128-128 128z"></path></svg></a></li></ul></div> </div> </nav> </header> <div id="primary" class="boxed-layout-header page-header header-small" data-parallax="active" ><div class="container"><div class="row"><div class="col-md-10 col-md-offset-1 text-center"><h1 class="hestia-title entry-title">Introducing our public SPARQL query service</h1><h4 class="author">Published by <a href="https://blog.dblp.org/author/ackermann/" class="vcard author"><strong class="fn">Marcel R. Ackermann</strong></a> on <time class="entry-date published" datetime="2024-09-09T19:09:22+02:00" content="2024-09-09">September 9, 2024</time><time class="updated hestia-hidden" datetime="2024-10-07T11:27:57+02:00">September 9, 2024</time></h4></div></div></div><div class="header-filter"></div></div> <div class="main main-raised "> <div class="blog-post blog-post-wrapper"> <div class="container"> <article id="post-778" class="section section-text"> <div class="row"> <div class="col-md-8 single-post-container" data-layout="sidebar-right"> <div class="single-post-wrap entry-content"><p><span>The <strong>dblp Knowledge Graph (dblp KG)</strong> is a fully semantic view on all the data and relationships that you can find in the <a href="https://dblp.org">dblp computer science bibliography</a>. In the recent years, the dblp team has been actively working on building the dblp KG, as we already discussed in <a href="https://blog.dblp.org/2022/03/02/dblp-in-rdf/">several</a> <a href="https://blog.dblp.org/2022/09/09/updates-to-the-dblp-rdf-schema/">recent</a> <a href="https://blog.dblp.org/2024/06/14/the-dblp-knowledge-graph-major-extension-and-an-update-to-the-rdf-schema/">blog posts</a>.</span> It has already proven to be quite useful, as the dblp KG makes sharing dblp’s curated data and combining it with other semantic data sources easy and straightforward. But it also enables us to launch a new tool that will allow you to generate new insights well beyond the current capabilities of our prepared web pages and our simple text-based search: our brand new <strong>dblp SPARQL query service.</strong></p> <div id="attachment_799" style="width: 760px" class="wp-caption aligncenter"><a href="https://sparql.dblp.org/JlDApR"><img fetchpriority="high" decoding="async" aria-describedby="caption-attachment-799" src="https://blog.dblp.org/wp-content/uploads/2024/09/sparql-query-result-1024x583.png" alt="" width="750" height="427" class="wp-image-799 size-large" srcset="https://blog.dblp.org/wp-content/uploads/2024/09/sparql-query-result-1024x583.png 1024w, https://blog.dblp.org/wp-content/uploads/2024/09/sparql-query-result-300x171.png 300w, https://blog.dblp.org/wp-content/uploads/2024/09/sparql-query-result-768x437.png 768w, https://blog.dblp.org/wp-content/uploads/2024/09/sparql-query-result.png 1368w" sizes="(max-width: 750px) 100vw, 750px" /></a><p id="caption-attachment-799" class="wp-caption-text">Example query result: non-coauthors of Michael Ley with many coauthors in common.</p></div> <p>The dblp SPARQL query service allows you to explore the entire <strong>semantic content of dblp</strong> (enhanced with open citation data) in a convenient user interface. In contrast to previous approaches to semantic search on dblp, the data stock here is not merely based on a one-time snapshot of dblp data, but is <strong>synchronized daily</strong> with the current dblp data. Just like the regular dblp.org website, the service therefore benefits from the continuous curation and disambiguation work of the dblp team.</p> <h2>Getting started</h2> <p>You can access our new SPARQL query service at <strong><a href="https://sparql.dblp.org">https://sparql.dblp.org</a></strong>. Please note that we are currently still in the <strong>public beta phase</strong> of the service. So be prepared for disruptions and outages while we work on getting the new website ready for the task.</p> <p>If you are an experienced SPARQL user, you may just want to have a look at the <a href="https://dblp.org/rdf/docu/">dblp RDF schema</a> and jump straight into the fray. For beginners, however, we prepared <a href="https://github.com/dblp/kg/wiki/dblp-KG-Tutorial">a guided tour of the dblp KG</a> in order show you some examples of what data you can expect to find and how you can run your first meaningful queries.</p> <p>But we want to go a step further and enable even people with no experience (or no interest) in SPARQL at all to easily run queries. To this end, we have prepared a number of context-sensitive queries and embedded them directly in the user interface of the dblp.org website, such that they can be executed with just one click. These queries include statistics about an author’s coauthors (and non-coauthors) or finding related conferences with a big community overlap. The embedded queries also serve as examples for the capabilities of the query service, as well as a starting point for writing your own queries.</p> <div id="attachment_785" style="width: 760px" class="wp-caption aligncenter"><img decoding="async" aria-describedby="caption-attachment-785" src="https://blog.dblp.org/wp-content/uploads/2024/09/sparql-cgi-ui-1024x466.png" alt="" width="750" height="341" class="wp-image-785 size-large" srcset="https://blog.dblp.org/wp-content/uploads/2024/09/sparql-cgi-ui-1024x466.png 1024w, https://blog.dblp.org/wp-content/uploads/2024/09/sparql-cgi-ui-300x137.png 300w, https://blog.dblp.org/wp-content/uploads/2024/09/sparql-cgi-ui-768x349.png 768w, https://blog.dblp.org/wp-content/uploads/2024/09/sparql-cgi-ui-1536x699.png 1536w, https://blog.dblp.org/wp-content/uploads/2024/09/sparql-cgi-ui.png 1780w" sizes="(max-width: 750px) 100vw, 750px" /><p id="caption-attachment-785" class="wp-caption-text">Embedded SPARQL queries on the dblp.org website.</p></div> <p>If you happen to have any questions on using the dblp SPARQL query service, or if you want to get in touch with other users, we prepared a <a href="https://github.com/dblp/kg/discussions">GitHub Discussions forum</a> for our dblp community. The dblp team will keep an eye on the forum and try to help with this and that problem, although our time and resources are limited. But we hope that thanks to the forum, users can help each other solving any particular problems and have the opportunity to discuss their experiences with the query service.</p> <h2>The QLever engine and UI</h2> <p>The dblp SPARQL query service is powered by <a href="https://github.com/ad-freiburg/qlever">the QLever SPARQL engine</a>, developed by <a href="https://dblp.org/pid/b/HannahBast">Hannah Bast</a>, <a href="https://dblp.org/pid/291/4233">Johannes Kalmbach</a>, and others at the University of Freiburg. Hannah is a long-time supporter of dblp (e.g. by providing the CompleteSearch engine that powers dblp.org), and Hannah and Johannes’ contribution was crucial to the creation of our query service.</p> <p>The QLever engine is free and open-source software, provided under Apache License 2.0. The engine comes with its convenient <strong>QLever UI</strong> that makes writing SPARQL queries easy:</p> <div id="attachment_790" style="width: 760px" class="wp-caption aligncenter"><a href="https://sparql.dblp.org/ZQMAw5"><img decoding="async" aria-describedby="caption-attachment-790" src="https://blog.dblp.org/wp-content/uploads/2024/09/sparql-query-ui-1024x528.png" alt="" width="750" height="387" class="wp-image-790 size-large" srcset="https://blog.dblp.org/wp-content/uploads/2024/09/sparql-query-ui-1024x528.png 1024w, https://blog.dblp.org/wp-content/uploads/2024/09/sparql-query-ui-300x155.png 300w, https://blog.dblp.org/wp-content/uploads/2024/09/sparql-query-ui-768x396.png 768w, https://blog.dblp.org/wp-content/uploads/2024/09/sparql-query-ui.png 1430w" sizes="(max-width: 750px) 100vw, 750px" /></a><p id="caption-attachment-790" class="wp-caption-text">The QLever UI.</p></div> <ol> <li>The interactive editor supports syntax-highlighting, context-sensitive auto-completion, and a number of keyboard shortcuts to allow for fast writing of queries.</li> <li>Klicking on “Execute” (or hitting ctrl + enter) sends the query to the backend server. QLever achieves a high execution speed on the dblp KG and often calculates results within fractions of a second, with complex queries taking a maximum of only a few seconds.</li> <li>You can download result tables in several formats.</li> <li>Sharing of queries is supported via persistent short URL handles.</li> <li>The Qlever UI provides a graphical analysis of the query execution, listing the size requirements and execution times of individual steps. This helps you to identify bottlenecks in complex queries and to improve query performance.</li> <li>You can select and run some illustrative examples directly from the UI.</li> <li>Additional technical information and statistics about the index can be found right above the editor window.</li> <li>The top-right menu provides links to further useful resources, and even links advise and data about how to set up your own instance of a dblp SPARQL query service.</li> </ol> <p>The QLever Engine also provides a <strong>SPARQL endpoint API</strong> at <a href="https://sparql.dblp.org/sparql">https://sparql.dblp.org/sparql</a>, following the SPARQL standard. QLever supports the media types <em>application/csv</em> (CSV), <em>application/tab-separated-values</em> (TSV), <em>application/sparql-results+json</em> (JSON), as well as its own custom JSON format of MIME type <em>application/qlever-results+json</em>. For example, the following <em>curl</em> call will print ten arbitrary statements as TSV in your command line.</p> <div class="hcb_wrap"> <pre class="prism line-numbers lang-bash" data-lang="Bash"><code>curl -s https://sparql.dblp.org/sparql -H "Accept: text/tab-separated-values" -H "Content-type: application/sparql-query" --data "SELECT * WHERE { ?subject ?predicate ?object } LIMIT 10"</code></pre> </div> <p>As with all the API services dblp provides, we ask you to please not overwhelm our live APIs with an excessive number of request. To ensure that our service is available to everyone, <span>there is some rate limiting in place to protect us from aggressive scripting. If you know that you will need a higher rate of queries, we encourage you to <a href="https://github.com/dblp/kg/wiki/SPARQL-server-setup">set up your own instance of a dblp SPARQL query service</a> and to do all of your request locally. It really is surprisingly easy.</span></p> <h2>Open citation references</h2> <p>The probably biggest benefit of open knowledge graphs is that multiple data sources can be easily combined. We demonstrate this in our SPARQL query service by not only building it upon the bibliographic data from the dblp KG, but also combining it with the citation data from <a href="https://opencitations.net">OpenCitations</a>. OpenCitations is an <span>awesome infrastructure that collects and aggregates citation metadata from openly available sources like Crossref or Datacite and provides the citation links under CC0 license. We have already <a href="https://blog.dblp.org/2019/11/11/open-citation-data-and-dblp/">integrated OpenCitations data in the dblp website</a> in the past. Now, all open citation links to and from dblp publications are also available in our query service.</span></p> <p>OpenCitations uses the <a href="http://purl.org/spar/cito">CiTo Ontology</a> and persistent IDs to model citation links between two documents. The documents are identified by the <a href="https://doi.org/10.58079/sjfl">OpenCitations Meta ID (OMID)</a>, which serves as an abstraction for all possible persistent identifiers (like, say, DOI and ISBN) of the same publication. Links between dblp publications and OMIDs are provided in our knowledge graph by means of the <em>dblp:omid</em> property whenever possible. Using these links, you can easily obtain citation statistics, for instance, finding the most cited publications indexed in dblp.</p> <div class="hcb_wrap"> <pre class="prism line-numbers lang-sql" data-lang="SPARQL"><code>## Most cited publications in dblp PREFIX dblp: <https://dblp.org/rdf/schema#> PREFIX cito: <http://purl.org/spar/cito/> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX schema: <https://schema.org/> SELECT ?url (?publ as ?dblp) ?title (COUNT(?citation) as ?cites) WHERE { ?citation cito:hasCitedEntity ?omid . ?publ dblp:omid ?omid . ?publ rdfs:label ?title . ?omid schema:url ?url } GROUP BY ?url ?publ ?title ORDER BY DESC(?cites) LIMIT 10</code></pre> </div> <p>Please be aware that providing <strong>open citation data</strong> is only possible if the citation references are openly shared by the publishers. Furthermore, although it is no longer a technical requirtement of OpenCitations, in practice, collecting citation data still crucially depends on DOIs. This means that open citation data in the absence of DOIs is still quite rare. At time of writing, we find that still only about 64% of all publications in dblp do have at least one reference associated (i.e., it is an object of the <em>cito:hasCitingEntity</em> predicate), and about 58% of all publications are themselves cited by another publication (i.e., are an object of <em>cito:hasCitedEntity</em>). If citation data about your publications is not openly available yet, then please consider asking your publisher to release your citation data to the public. For more information please see the <a href="https://i4oc.org/">Initiative for Open Citations (I4OC)</a>. Please also note that there is no way of submitting missing references or citation data directly to dblp.</p> <h2>The bigger picture: querying beyond dblp</h2> <p>SPARQL is designed to make use of a <strong>federation of SPARQL endpoints</strong>. That is, a query can be distributed among multiple SPARQL servers on the Internet, having their partial results computed remotely, combined, and then its result listed in one common local result table. This allows for the ad-hoc combination of completely independent data sources, provided that the partial results can be joined by reusing globally shared unique identifiers. In the context of the dblp KG, such identifiers that are provided are — among others — DOI or OMID for publications, ORCID for people, or Wikidata Q identifiers for essentially any entity.</p> <p>As an example, you can use the Wikidata Q identifiers provided for dblp authors to combine dblp KG information with biographical data available at Wikidata. For instance, the query below allows you get an impression about the gender distribution among the authors of a given journal. As dblp is not collecting any biographical information, so this is a result that you could not have achieved using dblp data alone.</p> <div class="hcb_wrap"> <pre class="prism line-numbers lang-sql" data-lang="SPARQL"><code>## Gender distribution among Semantic Web journal authors PREFIX dblp: <https://dblp.org/rdf/schema#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX wdt: <http://www.wikidata.org/prop/direct/> SELECT ?gender ?label (COUNT(DISTINCT ?author) as ?freq) WHERE { ?publ dblp:publishedInStream <https://dblp.org/streams/journals/semweb> . ?publ dblp:authoredBy ?author . ?author dblp:wikidata ?wikiq . SERVICE <https://query.wikidata.org/sparql> { ?wikiq wdt:P2456 [] . ?wikiq wdt:P21 ?gender . ?gender rdfs:label ?label . FILTER (lang(?label) IN ("en")) } } GROUP BY ?label ?gender ORDER BY DESC(?freq)</code></pre> </div> <p>One severe limitation of federated queries is that they can be pretty slow. Depending on the computational strain of the remote server and the size of the remote query’s result tables, the likelihood of slow responses or even timeouts is still rather high. Overall response times are usually dominated by the slowest individual query sent. Therefore, such practical limitations must be carefully considered when designing a federated query.</p> <h2>Outlook and feedback</h2> <p>Our goal is to maintain and expand the dblp SPARQL query service as a cornerstone of the dblp computer science bibliography, just like our dblp website, our open APIs and our dump download releases. During the current beta phase, our priority is to test its stability and performance and to adapt the service to the needs of the community. At the same time, we are also actively working on expanding the content of the dblp KG by further utilizing more of the currently only weakly structured semantic information listed on the dblp website, like research institution entities, affiliation links of authors, as well as metadata about the date and location of conference events.</p> <p>If you have any ideas or criticisms, or if you experience any trouble working with the query service, we will be grateful to hear about it. For any suggestions, questions or discussions about using the service, you are welcome to use our <a href="https://github.com/dblp/kg/discussions">GitHub Discussions forum</a>. If you have technical problems or questions about the QLever engine, it might be best to directly contact the developers via the <a href="https://github.com/ad-freiburg/qlever">QLever GitHub page</a>. In case of general question about dblp, or if you find data errors or inconsistencies that need correction, you may of course always contact us via <a href="mailto:dblp(at)dagstuhl.de">dblp(at)dagstuhl.de</a>. We are looking forward to hearing from you!</p> <h2>Acknowledgement</h2> <p>The dblp SPARQL query service is launching as a service of the <a href="https://www.nfdi.de/?lang=en">National Research Data Infrastructure (NFDI)</a>, in particular of the consortia <a href="https://blog.dblp.org/2021/07/02/schloss-dagstuhl-becomes-part-of-the-national-research-data-infrastructure-for-data-science-and-artificial-intelligence/">NDFI4DataScience</a> and <a href="https://blog.dblp.org/2022/11/14/building-the-german-research-data-infrastructure-nfdi-for-and-with-computer-science/">NFDIxCS</a>. Parts of creating the service has been funded by grants <a href="https://gepris.dfg.de/gepris/projekt/460234259">GEPRIS 460234259</a> and <a href="https://gepris.dfg.de/gepris/projekt/501930651">GEPRIS 501930651</a>, as well as as part of the <a href="https://unknowndataproject.github.io/">DFG-LIS project “Unknown Data”</a> (<a href="https://gepris.dfg.de/gepris/projekt/460676019">GEPRIS 460676019</a>).</p> <p> </p> <p> </p> <div class="dkpdf-button-container" style=" text-align:left "> <a class="dkpdf-button" href="/2024/09/09/introducing-our-public-sparql-query-service/?pdf=778" target="_blank"><span class="dkpdf-button-icon"><i class="fa fa-file-pdf-o"></i></span> read as PDF</a> </div> </div> <div class="section section-blog-info"> <div class="row"> <div class="col-md-6"> <div class="entry-categories">Categories: <span class="label label-primary"><a href="https://blog.dblp.org/category/blog/">Blog</a></span><span class="label label-primary"><a 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href="https://blog.dblp.org/2024/06/14/the-dblp-knowledge-graph-major-extension-and-an-update-to-the-rdf-schema/">The dblp Knowledge Graph: major extension and an update to the RDF schema</a> <span class="post-date">June 14, 2024</span> </li> <li> <a href="https://blog.dblp.org/2024/01/01/7-million-publications/">7 million publications</a> <span class="post-date">January 1, 2024</span> </li> <li> <a href="https://blog.dblp.org/2023/05/22/dtd-update-may-2023/">DTD update May 2023</a> <span class="post-date">May 22, 2023</span> </li> <li> <a href="https://blog.dblp.org/2023/04/27/dataset-publications-in-dblp/">Dataset publications in dblp</a> <span class="post-date">April 27, 2023</span> </li> </ul> </div><div id="simpletags-2" class="widget widget-simpletags"><h5>Tags</h5> <!-- Generated by TaxoPress 3.27.0 - https://wordpress.org/plugins/simple-tags/ --> <div class="taxopress-output-wrapper"> <div class="st-tag-cloud"> <a href="https://blog.dblp.org/tag/anniversary/" id="tag-link-18" 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title="5 topics" style="font-size:12.6pt; color:#436b84;">feature</a> <a href="https://blog.dblp.org/tag/hdblp/" id="tag-link-22" class="st-tags t0" title="1 topics" style="font-size:9pt; color:#606b70;">hdblp</a> <a href="https://blog.dblp.org/tag/homonyms/" id="tag-link-5" class="st-tags t0" title="1 topics" style="font-size:9pt; color:#606b70;">homonyms</a> <a href="https://blog.dblp.org/tag/https/" id="tag-link-25" class="st-tags t0" title="1 topics" style="font-size:9pt; color:#606b70;">https</a> <a href="https://blog.dblp.org/tag/identifier/" id="tag-link-9" class="st-tags t1" title="2 topics" style="font-size:9.9pt; color:#586b75;">identifier</a> <a href="https://blog.dblp.org/tag/knowledge-graph/" id="tag-link-43" class="st-tags t5" title="6 topics" style="font-size:13.5pt; color:#3c6b89;">knowledge graph</a> <a href="https://blog.dblp.org/tag/license/" id="tag-link-35" class="st-tags t0" title="1 topics" style="font-size:9pt; color:#606b70;">license</a> <a 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style="font-size:10.8pt; color:#516b7a;">orcid</a> <a href="https://blog.dblp.org/tag/query-service/" id="tag-link-52" class="st-tags t0" title="1 topics" style="font-size:9pt; color:#606b70;">query service</a> <a href="https://blog.dblp.org/tag/rdf/" id="tag-link-44" class="st-tags t3" title="4 topics" style="font-size:11.7pt; color:#4a6b7f;">rdf</a> <a href="https://blog.dblp.org/tag/releases/" id="tag-link-50" class="st-tags t0" title="1 topics" style="font-size:9pt; color:#606b70;">releases</a> <a href="https://blog.dblp.org/tag/research-data/" id="tag-link-42" class="st-tags t1" title="2 topics" style="font-size:9.9pt; color:#586b75;">research data</a> <a href="https://blog.dblp.org/tag/schema/" id="tag-link-47" class="st-tags t0" title="1 topics" style="font-size:9pt; color:#606b70;">schema</a> <a href="https://blog.dblp.org/tag/snapshot/" id="tag-link-49" class="st-tags t0" title="1 topics" style="font-size:9pt; color:#606b70;">snapshot</a> <a 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topics" style="font-size:9pt; color:#606b70;">wikidata</a> </div> </div> </div><div id="text-3" class="widget widget_text"><h5>About This Site</h5> <div class="textwidget"><p>The <a href="https://dblp.org">dblp computer science bibliography</a> is the open bibliographic information service on major computer science journals and proceedings. dblp was originally founded at the <a href="https://www.uni-trier.de/?L=2">University of Trier</a> and is maintained by <a href="https://www.dagstuhl.de/en/">Schloss Dagstuhl – Leibniz Center for Informatics</a>. 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