Electronic Resource
CS-KG: A Large-Scale Knowledge Graph of Research Entities and Claims in Computer Science
| العنوان: | CS-KG: A Large-Scale Knowledge Graph of Research Entities and Claims in Computer Science |
|---|---|
| المؤلفون: | Sattler, U, Hogan, A, Keet, M, Presutti, V, Almeida, JPA, Takeda, H, Monnin, P, Pirrò, G, d’Amato, C, Dessi, D, Osborne, F, Reforgiato Recupero, D, Buscaldi, D, Motta, E, Dessi D., Osborne F., Reforgiato Recupero D., Buscaldi D., Motta E. |
| بيانات النشر: | Springer Science and Business Media Deutschland GmbH 2022 |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | In recent years, we saw the emergence of several approaches for producing machine-readable, semantically rich, interlinked description of the content of research publications, typically encoded as knowledge graphs. A common limitation of these solutions is that they address a low number of articles, either because they rely on human experts to summarize information from the literature or because they focus on specific research areas. In this paper, we introduce the Computer Science Knowledge Graph (CS-KG), a large-scale knowledge graph composed by over 350M RDF triples describing 41M statements from 6.7M articles about 10M entities linked by 179 semantic relations. It was automatically generated and will be periodically updated by applying an information extraction pipeline on a large repository of research papers. CS-KG is much larger than all comparable solutions and offers a very comprehensive representation of tasks, methods, materials, and metrics in Computer Science. It can support a variety of intelligent services, such as advanced literature search, document classification, article recommendation, trend forecasting, hypothesis generation, and many others. CS-KG was evaluated against a benchmark of manually annotated statements, yielding excellent results. |
| مصطلحات الفهرس: | Artificial Intelligence, Information extraction, Knowledge graph, Natural language processing, Scholarly data, Semantic Web, INF/01 - INFORMATICA, ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI, info:eu-repo/semantics/conferenceObject |
| URL: | info:eu-repo/semantics/altIdentifier/isbn/978-3-031-19432-0 info:eu-repo/semantics/altIdentifier/wos/WOS:000886782800039 ispartofbook:The Semantic Web – ISWC 2022 21st International Semantic Web Conference, Virtual Event, October 23–27, 2022, Proceedings 21st International Semantic Web Conference, ISWC 2022 - 23 October 2022through 27 October 2022 volume:13489 LNCS firstpage:678 lastpage:696 numberofpages:19 serie:LECTURE NOTES IN COMPUTER SCIENCE alleditors:Sattler, U; Hogan, A; Keet, M; Presutti, V; Almeida, JPA; Takeda, H; Monnin, P; Pirrò, G; d’Amato, C |
| الاتاحة: | Open access content. Open access content info:eu-repo/semantics/openAccess |
| ملاحظة: | English |
| Other Numbers: | ITBAO oai:boa.unimib.it:10281/412219 10.1007/978-3-031-19433-7_39 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85141701072 1376713886 |
| المصدر المساهم: | BICOCCA OPEN ARCH From OAIster®, provided by the OCLC Cooperative. |
| رقم الانضمام: | edsoai.on1376713886 |
| قاعدة البيانات: | OAIster |
| الوصف غير متاح. |