The Microsoft Academic Graph in RDF: A Linked Data Source with 8 Billion Triples of Scholarly Data

<!DOCTYPE html> <html lang="en" dir="ltr"> <head> <meta charset="utf-8"> <meta http-equiv="X-UA-Compatible" content="IE=edge"> <meta name="viewport" content="width=device-width, initial-scale=1"> <meta name="google-site-verification" content="5fPGCLllnWrvFxH9QWI0l1TadV7byeEvfPcyK2VkS_s"/> <meta name="google-site-verification" content="Rp5zp04IKW-s1IbpTOGB7Z6XY60oloZD5C3kTM-AiY4"/> <meta name="generator" content="InvenioRDM 13.0"/> <meta name="description" content="We present the Microsoft Academic Knowledge Graph (MAKG), a large RDF data set with over eight billion triples with information about scientific publications and related entities, such as authors, institutions, journals, and fields of study. The data set is based on the Microsoft Academic Graph and licensed under the Open Data Attributions license. Furthermore, we provide entity embeddings for all 210M represented scientific papers. More information can be found at http://ma-graph.org/ and in the ISWC'19 paper The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data (author copy available here). If you use the data set, please cite it as follows (see also in DBLP): Michael F盲rber: "The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data". Proceedings of the 18th International Semantic Web Conference (ISWC'19). Auckland, New Zealand, 2019, pp. 113-129. @inproceedings{DBLP:conf/semweb/Farber19, author = "{Michael F{\"{a}}rber}", title = "{The Microsoft Academic Knowledge Graph: {A} Linked Data Source with 8 Billion Triples of Scholarly Data}", booktitle = "{Proceedings of the 18th International Semantic Web Conference}", series = "{ISWC'19}", location = "{Auckland, New Zealand}", pages = {113--129}, year = {2019}, url = {https://doi.org/10.1007/978-3-030-30796-7\_8}, doi = {10.1007/978-3-030-30796-7\_8} }" /> <meta name="citation_title" content="The Microsoft Academic Graph in RDF: A Linked Data Source with 8 Billion Triples of Scholarly Data" /> <meta name="citation_doi" content="10.5281/zenodo.2159723" /> <meta name="citation_keywords" content="Scholarly Data" /> <meta name="citation_keywords" content="Digitial Libraries" /> <meta name="citation_keywords" content="RDF" /> <meta name="citation_keywords" content="Knowledge Graph" /> <meta name="citation_keywords" content="Linked Open Data" /> <meta name="citation_keywords" content="Academia" /> <meta name="citation_abstract_html_url" content="https://zenodo.org/records/2159723" /> <meta property="og:title" content="The Microsoft Academic Graph in RDF: A Linked Data Source with 8 Billion Triples of Scholarly Data" /> <meta property="og:description" content="We present the Microsoft Academic Knowledge Graph (MAKG), a large RDF data set with over eight billion triples with information about scientific publications and related entities, such as authors, institutions, journals, and fields of study. The data set is based on the Microsoft Academic Graph and licensed under the Open Data Attributions license. Furthermore, we provide entity embeddings for all 210M represented scientific papers. More information can be found at http://ma-graph.org/ and in the ISWC'19 paper The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data (author copy available here). If you use the data set, please cite it as follows (see also in DBLP): Michael F盲rber: "The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data". Proceedings of the 18th International Semantic Web Conference (ISWC'19). Auckland, New Zealand, 2019, pp. 113-129. @inproceedings{DBLP:conf/semweb/Farber19, author = "{Michael F{\"{a}}rber}", title = "{The Microsoft Academic Knowledge Graph: {A} Linked Data Source with 8 Billion Triples of Scholarly Data}", booktitle = "{Proceedings of the 18th International Semantic Web Conference}", series = "{ISWC'19}", location = "{Auckland, New Zealand}", pages = {113--129}, year = {2019}, url = {https://doi.org/10.1007/978-3-030-30796-7\_8}, doi = {10.1007/978-3-030-30796-7\_8} }" /> <meta property="og:url" content="https://zenodo.org/records/2159723" /> <meta property="og:site_name" content="Zenodo" /> <meta name="twitter:card" content="summary" /> <meta name="twitter:site" content="@zenodo_org" /> <meta name="twitter:title" content="The Microsoft Academic Graph in RDF: A Linked Data Source with 8 Billion Triples of Scholarly Data" /> <meta name="twitter:description" content="We present the Microsoft Academic Knowledge Graph (MAKG), a large RDF data set with over eight billion triples with information about scientific publications and related entities, such as authors, institutions, journals, and fields of study. The data set is based on the Microsoft Academic Graph and licensed under the Open Data Attributions license. Furthermore, we provide entity embeddings for all 210M represented scientific papers. More information can be found at http://ma-graph.org/ and in the ISWC'19 paper The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data (author copy available here). If you use the data set, please cite it as follows (see also in DBLP): Michael F盲rber: "The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data". Proceedings of the 18th International Semantic Web Conference (ISWC'19). Auckland, New Zealand, 2019, pp. 113-129. @inproceedings{DBLP:conf/semweb/Farber19, author = "{Michael F{\"{a}}rber}", title = "{The Microsoft Academic Knowledge Graph: {A} Linked Data Source with 8 Billion Triples of Scholarly Data}", booktitle = "{Proceedings of the 18th International Semantic Web Conference}", series = "{ISWC'19}", location = "{Auckland, New Zealand}", pages = {113--129}, year = {2019}, url = {https://doi.org/10.1007/978-3-030-30796-7\_8}, doi = {10.1007/978-3-030-30796-7\_8} }" /> <link rel="alternate" type="application/x-bzip2" href="https://zenodo.org/records/2159723/files/PaperAuthorAffiliations.nt.bz2"> <link rel="alternate" type="application/x-bzip2" href="https://zenodo.org/records/2159723/files/RelatedFieldOfStudy.nt.bz2"> <link rel="alternate" type="application/x-bzip2" href="https://zenodo.org/records/2159723/files/PaperCitationContexts.nt.bz2"> <link rel="alternate" type="application/x-bzip2" 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main-record-content"> <section id="record-info" aria-label="Publication date and version number"> <div class="ui grid middle aligned"> <div class="two column row"> <div class="left floated left aligned column"> <span class="ui" title="Publication date"> Published December 10, 2018 </span> <span class="label text-muted"> | Version 2018-11-09</span> </div> <div class="right floated right aligned column"> <span role="note" class="ui label horizontal small neutral mb-5" aria-label="Resource type" > Dataset </span> <span role="note" class="ui label horizontal small access-status open mb-5" data-tooltip="The record and files are publicly accessible." data-inverted="" aria-label="Access status" > <i class="icon unlock" aria-hidden="true"></i> <span aria-label="The record and files are publicly accessible."> Open </span> </span> </div> </div> </div> </section> <div class="ui divider hidden"></div><section id="record-title-section" aria-label="Record title and creators"> <h1 id="record-title" class="wrap-overflowing-text">The Microsoft Academic Graph in RDF: A Linked Data Source with 8 Billion Triples of Scholarly Data</h1> <section id="creatibutors" aria-label="Creators and contributors"> <div class="ui grid"> <div class="row ui accordion affiliations"> <div class="sixteen wide mobile twelve wide tablet thirteen wide computer column"> <h3 class="sr-only">Creators</h3> <ul class="creatibutors"> <li class="creatibutor-wrap separated"> <a class="ui creatibutor-link" data-tooltip="Karlsruhe Institute of Technology" href="/search?q=metadata.creators.person_or_org.name%3A%22F%C3%A4rber,+Michael%22" > <span class="creatibutor-name">F盲rber, Michael</span><sup class="font-tiny">1</sup></a> <a class="no-text-decoration" href="https://orcid.org/0000-0001-5458-8645" aria-label="F盲rber, Michael's ORCID profile" title="F盲rber, Michael's ORCID profile"> <img class="ml-5 inline-id-icon" src="/static/images/orcid.svg" alt="ORCID icon"/> </a> </li> </ul> </div> <div class="ui sixteen wide tablet three wide computer column title right aligned bottom aligned"> <button class="ui affiliations-button trigger button mini mr-0" aria-controls="creators-affiliations" data-open-text="Show affiliations" data-close-text="Hide affiliations" aria-expanded="false" > Show affiliations </button> </div> <section class="ui sixteen wide column content" id="creators-affiliations" aria-label="Affiliations for creators"> <ul> <li> 1. Karlsruhe Institute of Technology </li> </ul> </section> </div> </div> </section> </section> <section id="description" class="rel-mt-2 rich-input-content" aria-label="Record description"> <h2 id="description-heading" class="sr-only">Description</h2> <div style="word-wrap: break-word;"> <p><p>We present the <strong>Microsoft Academic Knowledge Graph (MAKG)</strong>, a <strong>large RDF data set</strong> with <strong>over eight billion triples</strong> with information about scientific <strong>publications</strong> and related entities, such as <strong>authors</strong>, <strong>institutions</strong>, <strong>journals</strong>, and <strong>fields of study</strong>. The data set is based on the <strong>Microsoft Academic Graph</strong> and licensed under the Open Data Attributions license. Furthermore, we provide <strong>entity embeddings</strong> for all 210M represented scientific papers.</p> <p>More information can be found at <a href="http://ma-graph.org/"><strong>http://ma-graph.org/</strong></a> and in the ISWC'19 paper <a href="https://link.springer.com/chapter/10.1007/978-3-030-30796-7_8"><strong>The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data</strong></a> (author copy available <a href="http://dbis.informatik.uni-freiburg.de/content/team/faerber/papers/MAKG_ISWC2019.pdf">here</a>).</p> <p>If you use the data set, please cite it as follows (<a href="https://dblp.org/rec/bibtex/conf/semweb/Farber19">see also in DBLP</a>):</p> <blockquote> <p>Michael Färber: "The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data". Proceedings of the 18th International Semantic Web Conference (ISWC'19). Auckland, New Zealand, 2019, pp. 113-129.</p> </blockquote> <pre><code>@inproceedings{DBLP:conf/semweb/Farber19, author = "{Michael F{\"{a}}rber}", title = "{The Microsoft Academic Knowledge Graph: {A} Linked Data Source with 8 Billion Triples of Scholarly Data}", booktitle = "{Proceedings of the 18th International Semantic Web Conference}", series = "{ISWC'19}", location = "{Auckland, New Zealand}", pages = {113--129}, year = {2019}, url = {https://doi.org/10.1007/978-3-030-30796-7\_8}, doi = {10.1007/978-3-030-30796-7\_8} } </code></pre></p> </div> </section> <section id="record-files" class="rel-mt-2 rel-mb-3" aria-label="Files" ><h2 id="files-heading">Files</h2> <div class="ui accordion panel mb-10 open" href="#files-list-accordion-panel"> <h3 class="active title panel-heading open m-0"> <div role="button" id="files-list-accordion-trigger" aria-controls="files-list-accordion-panel" aria-expanded="true" tabindex="0" class="trigger"> Files <small class="text-muted"> (91.4 GB)</small> 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aria-label="Record details"> <section id="metrics" aria-label="Metrics" class="ui segment rdm-sidebar sidebar-container"> <div class="ui tiny two statistics rel-mt-1"> <div class="ui statistic"> <div class="value">16K</div> <div class="label"> <i aria-hidden="true" class="eye icon"></i> Views </div> </div> <div class="ui statistic"> <div class="value">11K</div> <div class="label"> <i aria-hidden="true" class="download icon"></i> Downloads </div> </div> </div> <div class="ui accordion rel-mt-1 centered"> <div class="title"> <i class="caret right icon" aria-hidden="true"></i> <span tabindex="0" class="trigger" data-open-text="Show more details" data-close-text="Show less details" > Show more details </span> </div> <div class="content"> <table id="record-statistics" class="ui definition table fluid"> <thead> <tr> <th></th> <th class="right aligned">All versions</th> <th class="right aligned">This version</th> </tr> </thead> <tbody> <tr> <td> Views <i tabindex="0" role="button" 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"https://zenodo.org/records/2159723", "self_iiif_manifest": "https://zenodo.org/api/iiif/record:2159723/manifest", "self_iiif_sequence": "https://zenodo.org/api/iiif/record:2159723/sequence/default", "versions": "https://zenodo.org/api/records/2159723/versions"}, "media_files": {"count": 0, "enabled": false, "entries": {}, "order": [], "total_bytes": 0}, "metadata": {"creators": [{"affiliations": [{"name": "Karlsruhe Institute of Technology"}], "person_or_org": {"family_name": "F\u00e4rber", "given_name": "Michael", "identifiers": [{"identifier": "0000-0001-5458-8645", "scheme": "orcid"}], "name": "F\u00e4rber, Michael", "type": "personal"}}], "description": "\u003cp\u003eWe present the \u003cstrong\u003eMicrosoft Academic Knowledge Graph (MAKG)\u003c/strong\u003e, a \u003cstrong\u003elarge RDF data set\u003c/strong\u003e with \u003cstrong\u003eover eight billion triples\u003c/strong\u003e with information about scientific \u003cstrong\u003epublications\u003c/strong\u003e and related entities, such as \u003cstrong\u003eauthors\u003c/strong\u003e, \u003cstrong\u003einstitutions\u003c/strong\u003e, \u003cstrong\u003ejournals\u003c/strong\u003e, and \u003cstrong\u003efields of study\u003c/strong\u003e. The data set is based on the \u003cstrong\u003eMicrosoft Academic Graph\u003c/strong\u003e and licensed under the Open Data Attributions license. Furthermore, we provide \u003cstrong\u003eentity embeddings\u003c/strong\u003e for all 210M represented scientific papers.\u003c/p\u003e\n\n\u003cp\u003eMore information can be found at \u003ca href=\"http://ma-graph.org/\"\u003e\u003cstrong\u003ehttp://ma-graph.org/\u003c/strong\u003e\u003c/a\u003e and in the ISWC\u0026#39;19 paper \u003ca href=\"https://link.springer.com/chapter/10.1007/978-3-030-30796-7_8\"\u003e\u003cstrong\u003eThe Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data\u003c/strong\u003e\u003c/a\u003e (author copy available \u003ca href=\"http://dbis.informatik.uni-freiburg.de/content/team/faerber/papers/MAKG_ISWC2019.pdf\"\u003ehere\u003c/a\u003e).\u003c/p\u003e\n\n\u003cp\u003eIf you use the data set, please cite it as follows (\u003ca href=\"https://dblp.org/rec/bibtex/conf/semweb/Farber19\"\u003esee also in DBLP\u003c/a\u003e):\u003c/p\u003e\n\n\u003cblockquote\u003e\n\u003cp\u003eMichael F\u0026auml;rber: \u0026quot;The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data\u0026quot;. Proceedings of the 18th International Semantic Web Conference (ISWC\u0026#39;19). Auckland, New Zealand, 2019, pp. 113-129.\u003c/p\u003e\n\u003c/blockquote\u003e\n\n\u003cpre\u003e\u003ccode\u003e@inproceedings{DBLP:conf/semweb/Farber19,\n author = \"{Michael F{\\\"{a}}rber}\",\n title = \"{The Microsoft Academic Knowledge Graph: {A} Linked Data Source with\n 8 Billion Triples of Scholarly Data}\",\n booktitle = \"{Proceedings of the 18th International Semantic Web Conference}\",\n series = \"{ISWC\u002719}\",\n location = \"{Auckland, New Zealand}\",\n pages = {113--129},\n year = {2019},\n url = {https://doi.org/10.1007/978-3-030-30796-7\\_8},\n doi = {10.1007/978-3-030-30796-7\\_8}\n}\n\u003c/code\u003e\u003c/pre\u003e", "publication_date": "2018-12-10", "publisher": "Zenodo", "resource_type": {"id": "dataset", "title": {"de": "Datensatz", "en": "Dataset"}}, "rights": [{"description": {"en": ""}, "id": "odc-by-1.0", "props": {"scheme": "spdx", "url": "https://opendatacommons.org/licenses/by/1.0/"}, "title": {"en": "Open Data Commons Attribution License v1.0"}}], "subjects": [{"subject": "Scholarly Data"}, {"subject": "Digitial Libraries"}, {"subject": "RDF"}, {"subject": "Knowledge Graph"}, {"subject": "Linked Open Data"}, {"subject": "Academia"}], "title": "The Microsoft Academic Graph in RDF: A Linked Data Source with 8 Billion Triples of Scholarly Data", "version": "2018-11-09"}, "parent": {"access": {"owned_by": {"user": "57099"}, "settings": {"accept_conditions_text": null, "allow_guest_requests": false, "allow_user_requests": false, "secret_link_expiration": 0}}, "communities": {"entries": [{"access": {"member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public"}, "children": {"allow": false}, "created": "2019-05-01T19:45:24.860028+00:00", "custom_fields": {}, "deletion_status": {"is_deleted": false, "status": "P"}, "id": "868c7e8c-c7dd-481a-b9a9-b8828299ffee", "links": {}, "metadata": {"curation_policy": "\u003cp\u003eCuration is done manually by the community initiators.\u003c/p\u003e\r\n", "page": "\u003cp\u003eThis community is dealing with datasets, papers, code, and other resources in the scholarly field. Also resources concerning bibliometrics and scientometrics (e.g., publications\u0026#39; metadata, publications\u0026#39; full-texts, analyses of citation contexts, representations of publications) are welcome.\u003c/p\u003e", "title": "Scholarly Data"}, "revision_id": 0, "slug": "scholarly-data", "updated": "2019-11-11T09:21:51.855384+00:00"}, {"access": {"member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public"}, "children": {"allow": false}, "created": "2019-04-12T13:54:42.918971+00:00", "custom_fields": {}, "deletion_status": {"is_deleted": false, "status": "P"}, "id": "8a4a6d6a-c154-4727-9ed5-16d2875e4477", "links": {}, "metadata": {"curation_policy": "\u003cp\u003eCuration is done manually by the community initiators.\u003c/p\u003e\r\n", "description": "Digital libraries is the academic field dealing with digital objects that can include text, still images, audio, video, or other digital media formats.", "page": "\u003cp\u003e\u003ca href=\"https://en.wikipedia.org/wiki/Digital_library\"\u003ehttps://en.wikipedia.org/wiki/Digital_library\u003c/a\u003e\u003cbr /\u003e\r\n\u003ca href=\"https://en.wikipedia.org/wiki/List_of_digital_library_projects\"\u003ehttps://en.wikipedia.org/wiki/List_of_digital_library_projects\u003c/a\u003e\u003c/p\u003e\r\n", "title": "Digital Libraries"}, "revision_id": 0, "slug": "digital-libraries", "updated": "2019-11-17T17:44:06.010338+00:00"}, {"access": {"member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public"}, "children": {"allow": false}, "created": "2014-06-06T03:54:06+00:00", "custom_fields": {}, "deletion_status": {"is_deleted": false, "status": "P"}, "id": "b638e3e5-64a3-451b-a2cd-1e27ffa319a3", "links": {}, "metadata": {"curation_policy": "\u003cp\u003eAccepting published peer-reviewed publications; recommendations and standards; open source software; vocabularies and ontologies; linked data datasets; theses and student reports.\u003c/p\u003e\r\n", "page": "\u003cp\u003e\u003cstrong\u003eLinked Data\u003c/strong\u003e is a way to publish structured information on the Web, using well-defined properties with links related resources, all identified with accessible URIs.\u003c/p\u003e\r\n\r\n\u003cp\u003eLinked Data builds on (and includes) \u003cstrong\u003eSemantic Web \u003c/strong\u003etechnologies like \u003cstrong\u003eRDF\u003c/strong\u003e, \u003cstrong\u003eHTTP\u003c/strong\u003e, \u003cstrong\u003eREST\u003c/strong\u003e and \u003cstrong\u003eJSON-LD\u003c/strong\u003e, and has a strong emphasis on openess and reuse of identifiers. Interoperability and ease of use has higher priority than reaching ideal semantic clarity.\u003c/p\u003e\r\n\r\n\u003cp\u003eLinked Data is also an important part of the \u003cstrong\u003eOpen Data \u003c/strong\u003emovement, as it standardizes how to structure data and merging multiple disparate data sets is made possible using common identifiers and \u003cstrong\u003evocabularies\u003c/strong\u003e.\u003c/p\u003e\r\n\r\n\u003cp\u003eThis community\u0026#39;s logo is adapted from the \u003ca href=\"http://lod-cloud.net/versions/2014-08-30/lod-cloud.png\"\u003eLinking Open Data cloud diagram\u003c/a\u003e 2014, by Max Schmachtenberg, Christian Bizer, Anja Jentzsch and Richard Cyganiak. \u003ca href=\"http://lod-cloud.net/\"\u003ehttp://lod-cloud.net/\u003c/a\u003e\u003c/p\u003e", "title": "Linked Data"}, "revision_id": 0, "slug": "linkeddata", "updated": "2018-03-07T16:51:40.482257+00:00"}], "ids": ["868c7e8c-c7dd-481a-b9a9-b8828299ffee", "8a4a6d6a-c154-4727-9ed5-16d2875e4477", "b638e3e5-64a3-451b-a2cd-1e27ffa319a3"]}, "id": "2159722", "pids": {"doi": {"client": "datacite", "identifier": "10.5281/zenodo.2159722", "provider": "datacite"}}}, "pids": {"doi": {"client": "datacite", "identifier": "10.5281/zenodo.2159723", "provider": "datacite"}, "oai": {"identifier": "oai:zenodo.org:2159723", "provider": "oai"}}, "revision_id": 21, "stats": {"all_versions": {"data_volume": 1298381894075348.0, "downloads": 69298, "unique_downloads": 10912, "unique_views": 15579, "views": 17446}, "this_version": {"data_volume": 6792489608231.0, "downloads": 1110, "unique_downloads": 414, "unique_views": 5059, "views": 5511}}, "status": "published", "ui": {"access_status": {"description_l10n": "The record and files are publicly accessible.", "embargo_date_l10n": null, "icon": "unlock", "id": "open", "message_class": "", "title_l10n": "Open"}, "created_date_l10n_long": "December 15, 2018", "creators": {"affiliations": [[1, "Karlsruhe Institute of Technology", null]], "creators": [{"affiliations": [[1, "Karlsruhe Institute of Technology"]], "person_or_org": {"family_name": "F\u00e4rber", "given_name": "Michael", "identifiers": [{"identifier": "0000-0001-5458-8645", "scheme": "orcid"}], "name": "F\u00e4rber, Michael", "type": "personal"}}]}, "custom_fields": {}, "description_stripped": "We present the Microsoft Academic Knowledge Graph (MAKG), a large RDF data set with over eight billion triples with information about scientific publications and related entities, such as authors, institutions, journals, and fields of study. The data set is based on the Microsoft Academic Graph and licensed under the Open Data Attributions license. Furthermore, we provide entity embeddings for all 210M represented scientific papers.\n\n\nMore information can be found at http://ma-graph.org/ and in the ISWC\u002719 paper The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data (author copy available here).\n\n\nIf you use the data set, please cite it as follows (see also in DBLP):\n\n\n\n\nMichael F\u00e4rber: \"The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data\". Proceedings of the 18th International Semantic Web Conference (ISWC\u002719). Auckland, New Zealand, 2019, pp. 113-129.\n\n\n\n@inproceedings{DBLP:conf/semweb/Farber19,\n author = \"{Michael F{\\\"{a}}rber}\",\n title = \"{The Microsoft Academic Knowledge Graph: {A} Linked Data Source with\n 8 Billion Triples of Scholarly Data}\",\n booktitle = \"{Proceedings of the 18th International Semantic Web Conference}\",\n series = \"{ISWC\u002719}\",\n location = \"{Auckland, New Zealand}\",\n pages = {113--129},\n year = {2019},\n url = {https://doi.org/10.1007/978-3-030-30796-7\\_8},\n doi = {10.1007/978-3-030-30796-7\\_8}\n}", "is_draft": false, "publication_date_l10n_long": "December 10, 2018", "publication_date_l10n_medium": "Dec 10, 2018", "resource_type": {"id": "dataset", "title_l10n": "Dataset"}, "rights": [{"description_l10n": "", "id": "odc-by-1.0", "props": {"scheme": "spdx", "url": "https://opendatacommons.org/licenses/by/1.0/"}, "title_l10n": "Open Data Commons Attribution License v1.0"}], "updated_date_l10n_long": "March 25, 2021", "version": "2018-11-09"}, "updated": "2021-03-25T11:38:25.732133+00:00", "versions": {"index": 1, "is_latest": false}}' data-preview='false'> <div class="rel-p-1"></div> <div class="ui fluid placeholder rel-mr-1 rel-ml-1"></div> <div class="header"> <div class="line"></div> <div class="line"></div> <div class="line"></div> </div> </div> </div> </div> </div><div class="sidebar-container"> <h2 class="ui small top attached header">External resources</h2> <div id="external-resource" aria-label="External resources" class="ui bottom attached segment rdm-sidebar external resource"> <h3 class="ui small header">Indexed in</h3> <ul class="ui relaxed list no-bullet"> <li class="item flex align-items-center"> <img class="ui image" src="/static/images/openaire.svg" alt="" width="32"> <div class="content"> <a class="header" href="https://explore.openaire.eu/search/dataset?pid=10.5281/zenodo.2159723" target="_blank" rel="noreferrer" >OpenAIRE </a> </div> </li></ul></div> </div><div id="sidebar-communities-manage" data-user-communities-memberships='{}' data-record-community-endpoint="https://zenodo.org/api/records/2159723/communities" data-record-community-search-endpoint="https://zenodo.org/api/records/2159723/communities-suggestions" data-record-user-community-search-endpoint="" data-can-manage-record='false' data-pending-communities-search-config='{"aggs": [{"aggName": "type", "field": "type", "title": "Type"}, {"aggName": "status", "field": "status", "title": "Status"}], "appId": "InvenioAppRdm.RecordRequests", "defaultSortingOnEmptyQueryString": [{"sortBy": "newest"}], "initialQueryState": {"filters": [], "hiddenParams": [["expand", "1"], ["is_open", "true"], ["type", "community-inclusion"], ["type", "community-submission"]], "layout": "list", "page": 1, "size": 10, "sortBy": "bestmatch"}, "layoutOptions": {"gridView": false, "listView": true}, "paginationOptions": {"defaultValue": 10, "maxTotalResults": 10000, "resultsPerPage": [{"text": "10", "value": 10}, {"text": "20", "value": 20}, {"text": "50", "value": 50}]}, "searchApi": {"axios": {"headers": {"Accept": "application/json"}, "url": "https://zenodo.org/api/records/2159723/requests", "withCredentials": true}, "invenio": {"requestSerializer": "InvenioRecordsResourcesRequestSerializer"}}, "sortOptions": [{"sortBy": "bestmatch", "text": "Best match"}, {"sortBy": "newest", "text": "Newest"}, {"sortBy": "oldest", "text": "Oldest"}], "sortOrderDisabled": true}' data-record-community-search-config='{"aggs": [{"aggName": "type", "field": "type", "title": "Type"}, {"aggName": "funder", "field": "metadata.funding.funder", "title": "Funders"}, {"aggName": "organization", "field": "metadata.organizations", "title": "Organizations"}], "appId": "InvenioAppRdm.RecordCommunitiesSuggestions", "defaultSortingOnEmptyQueryString": [{"sortBy": "newest"}], "initialQueryState": {"filters": [], "hiddenParams": null, "layout": "list", "page": 1, "size": 10, "sortBy": "bestmatch"}, "layoutOptions": {"gridView": false, "listView": true}, "paginationOptions": {"defaultValue": 10, "maxTotalResults": 10000, "resultsPerPage": [{"text": "10", "value": 10}, {"text": "20", "value": 20}]}, "searchApi": {"axios": {"headers": {"Accept": "application/vnd.inveniordm.v1+json"}, "url": "https://zenodo.org/api/records/2159723/communities-suggestions", "withCredentials": true}, "invenio": {"requestSerializer": "InvenioRecordsResourcesRequestSerializer"}}, "sortOptions": [{"sortBy": "bestmatch", "text": "Best match"}, {"sortBy": "newest", "text": "Newest"}, {"sortBy": "oldest", "text": "Oldest"}], "sortOrderDisabled": true}' data-record-user-community-search-config='{"aggs": [{"aggName": "type", "field": "type", "title": "Type"}, {"aggName": "funder", "field": "metadata.funding.funder", "title": "Funders"}, {"aggName": "organization", "field": "metadata.organizations", "title": "Organizations"}], "appId": "InvenioAppRdm.RecordUserCommunitiesSuggestions", "defaultSortingOnEmptyQueryString": [{"sortBy": "newest"}], "initialQueryState": {"filters": [], "hiddenParams": [["membership", "true"]], "layout": "list", "page": 1, "size": 10, "sortBy": "bestmatch"}, "layoutOptions": {"gridView": false, "listView": true}, "paginationOptions": {"defaultValue": 10, "maxTotalResults": 10000, "resultsPerPage": [{"text": "10", "value": 10}, {"text": "20", "value": 20}]}, "searchApi": {"axios": {"headers": {"Accept": "application/vnd.inveniordm.v1+json"}, "url": "https://zenodo.org/api/records/2159723/communities-suggestions", "withCredentials": true}, "invenio": {"requestSerializer": "InvenioRecordsResourcesRequestSerializer"}}, "sortOptions": [{"sortBy": "bestmatch", "text": "Best match"}, {"sortBy": "newest", "text": "Newest"}, {"sortBy": "oldest", "text": "Oldest"}], "sortOrderDisabled": true}' data-permissions='{"can_edit": false, "can_manage": false, "can_media_read_files": true, "can_moderate": false, "can_new_version": false, "can_read_files": true, "can_review": false, "can_update_draft": false, "can_view": false}' class="sidebar-container" > <h2 class="ui medium top attached header">Communities</h2> <div class="ui segment bottom attached rdm-sidebar"> <div class="ui fluid placeholder"> <div class="image header"> <div class="line"></div> <div class="line"></div> </div> <div class="image header"> <div class="line"></div> <div class="line"></div> </div> <div class="image header"> <div class="line"></div> <div class="line"></div> </div> </div> </div> </div> <div class="sidebar-container"> <h2 class="ui medium top attached header mt-0">Keywords and subjects</h2> <div id="keywords-and-subjects" aria-label="Keywords and subjects" class="ui segment bottom attached rdm-sidebar"> <h3 class="hidden">Keywords</h3> <ul class="ui horizontal list no-bullets subjects"> <li class="item"> <a href="/search?q=metadata.subjects.subject%3A%22Scholarly+Data%22" class="subject" title="Search results for Scholarly Data" > Scholarly Data </a> </li> <li class="item"> <a href="/search?q=metadata.subjects.subject%3A%22Digitial+Libraries%22" class="subject" title="Search results for Digitial Libraries" > Digitial Libraries </a> </li> <li class="item"> <a href="/search?q=metadata.subjects.subject%3A%22RDF%22" class="subject" title="Search results for RDF" > RDF </a> </li> <li class="item"> <a href="/search?q=metadata.subjects.subject%3A%22Knowledge+Graph%22" class="subject" title="Search results for Knowledge Graph" > Knowledge Graph </a> </li> <li class="item"> <a href="/search?q=metadata.subjects.subject%3A%22Linked+Open+Data%22" class="subject" title="Search results for Linked Open Data" > Linked Open Data </a> </li> <li class="item"> <a href="/search?q=metadata.subjects.subject%3A%22Academia%22" class="subject" title="Search results for Academia" > Academia </a> </li> </ul> </div> </div> <div class="sidebar-container"> <h2 class="ui medium top attached header mt-0">Details</h2> <div id="record-details" class="ui segment bottom attached rdm-sidebar"> <dl class="details-list"> <dt class="ui tiny header">DOI <dd> <span class="get-badge" data-toggle="tooltip" data-placement="bottom" style="cursor: pointer;" title="Get the DOI badge!"> <img id='record-doi-badge' data-target="[data-modal='10.5281/zenodo.2159723']" src="/badge/DOI/10.5281/zenodo.2159723.svg" alt="10.5281/zenodo.2159723" /> </span> <div id="doi-modal" class="ui modal fade badge-modal" data-modal="10.5281/zenodo.2159723"> <div class="header">DOI Badge</div> <div class="content"> <h4> <small>DOI</small> </h4> <h4> <pre>10.5281/zenodo.2159723</pre> </h4> <h3 class="ui small header"> Markdown </h3> <div class="ui message code"> <pre>[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.2159723.svg)](https://doi.org/10.5281/zenodo.2159723)</pre> </div> <h3 class="ui small header"> reStructuredText </h3> <div class="ui message code"> <pre>.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.2159723.svg :target: https://doi.org/10.5281/zenodo.2159723</pre> </div> <h3 class="ui small header"> HTML </h3> <div class="ui message code"> <pre><a href="https://doi.org/10.5281/zenodo.2159723"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.2159723.svg" alt="DOI"></a></pre> </div> <h3 class="ui small header"> Image URL </h3> <div class="ui message code"> <pre>https://zenodo.org/badge/DOI/10.5281/zenodo.2159723.svg</pre> </div> <h3 class="ui small header"> Target URL </h3> <div class="ui message code"> <pre>https://doi.org/10.5281/zenodo.2159723</pre> </div> </div> </div> </dd> <dt class="ui tiny header">Resource type</dt> <dd>Dataset</dd> <dt class="ui tiny header">Publisher</dt> <dd>Zenodo</dd> </dl> </div> </div> <div class="sidebar-container"> <h2 class="ui medium top attached header mt-0">Rights</h2> <div id="licenses" class="ui segment bottom attached rdm-sidebar"> <ul class="details-list m-0 p-0"> <li id="license-odc-by-1.0-1" class="has-popup"> <div id="title-odc-by-1.0-1" class="license clickable" tabindex="0" aria-haspopup="dialog" aria-expanded="false" role="button" aria-label="Open Data Commons Attribution License v1.0" > <span class="title-text"> Open Data Commons Attribution License v1.0 </span> </div> <div id="description-odc-by-1.0-1" class="licenses-description ui flowing popup transition hidden" role="dialog" aria-labelledby="title-odc-by-1.0-1" > <i role="button" tabindex="0" class="close icon text-muted" aria-label="Close"></i> <div id="license-description-1" class="description"> <span class="text-muted"> No further description. </span> <a class="license-link" href="https://opendatacommons.org/licenses/by/1.0/" target="_blank" title="Opens in new tab">Read more</a> </div> </div> </li> </ul> </div> </div> <div class="sidebar-container"> <h2 class="ui medium top attached header mt-0">Citation</h2> <div id="citation" class="ui segment bottom attached rdm-sidebar"> <div id="recordCitation" data-record='{"access": {"embargo": {"active": false, "reason": null}, "files": "public", "record": "public", "status": "open"}, "created": "2018-12-15T08:43:44.771380+00:00", "custom_fields": {}, "deletion_status": {"is_deleted": false, "status": "P"}, "expanded": {"parent": {"access": {"owned_by": {"active": null, "blocked_at": null, "confirmed_at": null, "email": "", "id": "57099", "is_current_user": false, "links": {"avatar": "https://zenodo.org/api/users/57099/avatar.svg", "records_html": "https://zenodo.org/search/records?q=parent.access.owned_by.user:57099", "self": "https://zenodo.org/api/users/57099"}, "profile": {"affiliations": "", "full_name": "Michael F\u00e4rber"}, "username": "mfaerber", "verified_at": null}}}}, "files": {"count": 16, "enabled": true, "entries": {"Affiliations.nt.bz2": {"access": {"hidden": false}, "checksum": "md5:a4ec91258b22302f78e8efea345ad96c", "ext": "bz2", "id": "401a71a6-4c19-4ac3-9d51-160f45d417ec", "key": "Affiliations.nt.bz2", "links": {"content": "https://zenodo.org/api/records/2159723/files/Affiliations.nt.bz2/content", "self": 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the \u003cstrong\u003eMicrosoft Academic Knowledge Graph (MAKG)\u003c/strong\u003e, a \u003cstrong\u003elarge RDF data set\u003c/strong\u003e with \u003cstrong\u003eover eight billion triples\u003c/strong\u003e with information about scientific \u003cstrong\u003epublications\u003c/strong\u003e and related entities, such as \u003cstrong\u003eauthors\u003c/strong\u003e, \u003cstrong\u003einstitutions\u003c/strong\u003e, \u003cstrong\u003ejournals\u003c/strong\u003e, and \u003cstrong\u003efields of study\u003c/strong\u003e. The data set is based on the \u003cstrong\u003eMicrosoft Academic Graph\u003c/strong\u003e and licensed under the Open Data Attributions license. Furthermore, we provide \u003cstrong\u003eentity embeddings\u003c/strong\u003e for all 210M represented scientific papers.\u003c/p\u003e\n\n\u003cp\u003eMore information can be found at \u003ca href=\"http://ma-graph.org/\"\u003e\u003cstrong\u003ehttp://ma-graph.org/\u003c/strong\u003e\u003c/a\u003e and in the ISWC\u0026#39;19 paper \u003ca href=\"https://link.springer.com/chapter/10.1007/978-3-030-30796-7_8\"\u003e\u003cstrong\u003eThe Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data\u003c/strong\u003e\u003c/a\u003e (author copy available \u003ca href=\"http://dbis.informatik.uni-freiburg.de/content/team/faerber/papers/MAKG_ISWC2019.pdf\"\u003ehere\u003c/a\u003e).\u003c/p\u003e\n\n\u003cp\u003eIf you use the data set, please cite it as follows (\u003ca href=\"https://dblp.org/rec/bibtex/conf/semweb/Farber19\"\u003esee also in DBLP\u003c/a\u003e):\u003c/p\u003e\n\n\u003cblockquote\u003e\n\u003cp\u003eMichael F\u0026auml;rber: \u0026quot;The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data\u0026quot;. Proceedings of the 18th International Semantic Web Conference (ISWC\u0026#39;19). Auckland, New Zealand, 2019, pp. 113-129.\u003c/p\u003e\n\u003c/blockquote\u003e\n\n\u003cpre\u003e\u003ccode\u003e@inproceedings{DBLP:conf/semweb/Farber19,\n author = \"{Michael F{\\\"{a}}rber}\",\n title = \"{The Microsoft Academic Knowledge Graph: {A} Linked Data Source with\n 8 Billion Triples of Scholarly Data}\",\n booktitle = \"{Proceedings of the 18th International Semantic Web Conference}\",\n series = \"{ISWC\u002719}\",\n location = \"{Auckland, New Zealand}\",\n pages = {113--129},\n year = {2019},\n url = {https://doi.org/10.1007/978-3-030-30796-7\\_8},\n doi = {10.1007/978-3-030-30796-7\\_8}\n}\n\u003c/code\u003e\u003c/pre\u003e", "publication_date": "2018-12-10", "publisher": "Zenodo", "resource_type": {"id": "dataset", "title": {"de": "Datensatz", "en": "Dataset"}}, "rights": [{"description": {"en": ""}, "id": "odc-by-1.0", "props": {"scheme": "spdx", "url": "https://opendatacommons.org/licenses/by/1.0/"}, "title": {"en": "Open Data Commons Attribution License v1.0"}}], "subjects": [{"subject": "Scholarly Data"}, {"subject": "Digitial Libraries"}, {"subject": "RDF"}, {"subject": "Knowledge Graph"}, {"subject": "Linked Open Data"}, {"subject": "Academia"}], "title": "The Microsoft Academic Graph in RDF: A Linked Data Source with 8 Billion Triples of Scholarly Data", "version": "2018-11-09"}, "parent": {"access": {"owned_by": {"user": "57099"}, "settings": {"accept_conditions_text": null, "allow_guest_requests": false, "allow_user_requests": false, "secret_link_expiration": 0}}, "communities": {"entries": [{"access": {"member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public"}, "children": {"allow": false}, "created": "2019-05-01T19:45:24.860028+00:00", "custom_fields": {}, "deletion_status": {"is_deleted": false, "status": "P"}, "id": "868c7e8c-c7dd-481a-b9a9-b8828299ffee", "links": {}, "metadata": {"curation_policy": "\u003cp\u003eCuration is done manually by the community initiators.\u003c/p\u003e\r\n", "page": "\u003cp\u003eThis community is dealing with datasets, papers, code, and other resources in the scholarly field. Also resources concerning bibliometrics and scientometrics (e.g., publications\u0026#39; metadata, publications\u0026#39; full-texts, analyses of citation contexts, representations of publications) are welcome.\u003c/p\u003e", "title": "Scholarly Data"}, "revision_id": 0, "slug": "scholarly-data", "updated": "2019-11-11T09:21:51.855384+00:00"}, {"access": {"member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public"}, "children": {"allow": false}, "created": "2019-04-12T13:54:42.918971+00:00", "custom_fields": {}, "deletion_status": {"is_deleted": false, "status": "P"}, "id": "8a4a6d6a-c154-4727-9ed5-16d2875e4477", "links": {}, "metadata": {"curation_policy": "\u003cp\u003eCuration is done manually by the community initiators.\u003c/p\u003e\r\n", "description": "Digital libraries is the academic field dealing with digital objects that can include text, still images, audio, video, or other digital media formats.", "page": "\u003cp\u003e\u003ca href=\"https://en.wikipedia.org/wiki/Digital_library\"\u003ehttps://en.wikipedia.org/wiki/Digital_library\u003c/a\u003e\u003cbr /\u003e\r\n\u003ca href=\"https://en.wikipedia.org/wiki/List_of_digital_library_projects\"\u003ehttps://en.wikipedia.org/wiki/List_of_digital_library_projects\u003c/a\u003e\u003c/p\u003e\r\n", "title": "Digital Libraries"}, "revision_id": 0, "slug": "digital-libraries", "updated": "2019-11-17T17:44:06.010338+00:00"}, {"access": {"member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public"}, "children": {"allow": false}, "created": "2014-06-06T03:54:06+00:00", "custom_fields": {}, "deletion_status": {"is_deleted": false, "status": "P"}, "id": "b638e3e5-64a3-451b-a2cd-1e27ffa319a3", "links": {}, "metadata": {"curation_policy": "\u003cp\u003eAccepting published peer-reviewed publications; recommendations and standards; open source software; vocabularies and ontologies; linked data datasets; theses and student reports.\u003c/p\u003e\r\n", "page": "\u003cp\u003e\u003cstrong\u003eLinked Data\u003c/strong\u003e is a way to publish structured information on the Web, using well-defined properties with links related resources, all identified with accessible URIs.\u003c/p\u003e\r\n\r\n\u003cp\u003eLinked Data builds on (and includes) \u003cstrong\u003eSemantic Web \u003c/strong\u003etechnologies like \u003cstrong\u003eRDF\u003c/strong\u003e, \u003cstrong\u003eHTTP\u003c/strong\u003e, \u003cstrong\u003eREST\u003c/strong\u003e and \u003cstrong\u003eJSON-LD\u003c/strong\u003e, and has a strong emphasis on openess and reuse of identifiers. Interoperability and ease of use has higher priority than reaching ideal semantic clarity.\u003c/p\u003e\r\n\r\n\u003cp\u003eLinked Data is also an important part of the \u003cstrong\u003eOpen Data \u003c/strong\u003emovement, as it standardizes how to structure data and merging multiple disparate data sets is made possible using common identifiers and \u003cstrong\u003evocabularies\u003c/strong\u003e.\u003c/p\u003e\r\n\r\n\u003cp\u003eThis community\u0026#39;s logo is adapted from the \u003ca href=\"http://lod-cloud.net/versions/2014-08-30/lod-cloud.png\"\u003eLinking Open Data cloud diagram\u003c/a\u003e 2014, by Max Schmachtenberg, Christian Bizer, Anja Jentzsch and Richard Cyganiak. \u003ca href=\"http://lod-cloud.net/\"\u003ehttp://lod-cloud.net/\u003c/a\u003e\u003c/p\u003e", "title": "Linked Data"}, "revision_id": 0, "slug": "linkeddata", "updated": "2018-03-07T16:51:40.482257+00:00"}], "ids": ["868c7e8c-c7dd-481a-b9a9-b8828299ffee", "8a4a6d6a-c154-4727-9ed5-16d2875e4477", "b638e3e5-64a3-451b-a2cd-1e27ffa319a3"]}, "id": "2159722", "pids": {"doi": {"client": "datacite", "identifier": "10.5281/zenodo.2159722", "provider": "datacite"}}}, "pids": {"doi": {"client": "datacite", "identifier": "10.5281/zenodo.2159723", "provider": "datacite"}, "oai": {"identifier": "oai:zenodo.org:2159723", "provider": "oai"}}, "revision_id": 21, "stats": {"all_versions": {"data_volume": 1298381894075348.0, "downloads": 69298, "unique_downloads": 10912, "unique_views": 15579, "views": 17446}, "this_version": {"data_volume": 6792489608231.0, "downloads": 1110, "unique_downloads": 414, "unique_views": 5059, "views": 5511}}, "status": "published", "ui": {"access_status": {"description_l10n": "The record and files are publicly accessible.", "embargo_date_l10n": null, "icon": "unlock", "id": "open", "message_class": "", "title_l10n": "Open"}, "created_date_l10n_long": "December 15, 2018", "creators": {"affiliations": [[1, "Karlsruhe Institute of Technology", null]], "creators": [{"affiliations": [[1, "Karlsruhe Institute of Technology"]], "person_or_org": {"family_name": "F\u00e4rber", "given_name": "Michael", "identifiers": [{"identifier": "0000-0001-5458-8645", "scheme": "orcid"}], "name": "F\u00e4rber, Michael", "type": "personal"}}]}, "custom_fields": {}, "description_stripped": "We present the Microsoft Academic Knowledge Graph (MAKG), a large RDF data set with over eight billion triples with information about scientific publications and related entities, such as authors, institutions, journals, and fields of study. The data set is based on the Microsoft Academic Graph and licensed under the Open Data Attributions license. Furthermore, we provide entity embeddings for all 210M represented scientific papers.\n\n\nMore information can be found at http://ma-graph.org/ and in the ISWC\u002719 paper The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data (author copy available here).\n\n\nIf you use the data set, please cite it as follows (see also in DBLP):\n\n\n\n\nMichael F\u00e4rber: \"The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data\". Proceedings of the 18th International Semantic Web Conference (ISWC\u002719). Auckland, New Zealand, 2019, pp. 113-129.\n\n\n\n@inproceedings{DBLP:conf/semweb/Farber19,\n author = \"{Michael F{\\\"{a}}rber}\",\n title = \"{The Microsoft Academic Knowledge Graph: {A} Linked Data Source with\n 8 Billion Triples of Scholarly Data}\",\n booktitle = \"{Proceedings of the 18th International Semantic Web Conference}\",\n series = \"{ISWC\u002719}\",\n location = \"{Auckland, New Zealand}\",\n pages = {113--129},\n year = {2019},\n url = {https://doi.org/10.1007/978-3-030-30796-7\\_8},\n doi = {10.1007/978-3-030-30796-7\\_8}\n}", "is_draft": false, "publication_date_l10n_long": "December 10, 2018", "publication_date_l10n_medium": "Dec 10, 2018", "resource_type": {"id": "dataset", "title_l10n": "Dataset"}, "rights": [{"description_l10n": "", "id": "odc-by-1.0", "props": {"scheme": "spdx", "url": "https://opendatacommons.org/licenses/by/1.0/"}, "title_l10n": "Open Data Commons Attribution License v1.0"}], "updated_date_l10n_long": "March 25, 2021", "version": 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"2018-12-15T08:43:44.771380+00:00", "dateModified": "2021-03-25T11:38:25.732133+00:00", "datePublished": "2018-12-10", "description": "\u003cp\u003eWe present the \u003cstrong\u003eMicrosoft Academic Knowledge Graph (MAKG)\u003c/strong\u003e, a \u003cstrong\u003elarge RDF data set\u003c/strong\u003e with \u003cstrong\u003eover eight billion triples\u003c/strong\u003e with information about scientific \u003cstrong\u003epublications\u003c/strong\u003e and related entities, such as \u003cstrong\u003eauthors\u003c/strong\u003e, \u003cstrong\u003einstitutions\u003c/strong\u003e, \u003cstrong\u003ejournals\u003c/strong\u003e, and \u003cstrong\u003efields of study\u003c/strong\u003e. The data set is based on the \u003cstrong\u003eMicrosoft Academic Graph\u003c/strong\u003e and licensed under the Open Data Attributions license. Furthermore, we provide \u003cstrong\u003eentity embeddings\u003c/strong\u003e for all 210M represented scientific papers.\u003c/p\u003e\n\n\u003cp\u003eMore information can be found at \u003ca href=\"http://ma-graph.org/\"\u003e\u003cstrong\u003ehttp://ma-graph.org/\u003c/strong\u003e\u003c/a\u003e and in the ISWC\u0026#39;19 paper \u003ca href=\"https://link.springer.com/chapter/10.1007/978-3-030-30796-7_8\"\u003e\u003cstrong\u003eThe Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data\u003c/strong\u003e\u003c/a\u003e (author copy available \u003ca href=\"http://dbis.informatik.uni-freiburg.de/content/team/faerber/papers/MAKG_ISWC2019.pdf\"\u003ehere\u003c/a\u003e).\u003c/p\u003e\n\n\u003cp\u003eIf you use the data set, please cite it as follows (\u003ca href=\"https://dblp.org/rec/bibtex/conf/semweb/Farber19\"\u003esee also in DBLP\u003c/a\u003e):\u003c/p\u003e\n\n\u003cblockquote\u003e\n\u003cp\u003eMichael F\u0026auml;rber: \u0026quot;The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data\u0026quot;. 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The Microsoft Academic Graph in RDF: A Linked Data Source with 8 Billion Triples of Scholarly Data