WIF640 Themen¶
EINLESEN: Hintergrundwissen zum Thema Semantic Web Ontologien bietet dieses hervorragend verständlich geschriebenen Büchleins an: Heiner Stuckenschmidt: Ontologien. Konzepte, Technologien und Anwendungen. Springer, 2. Aufl. 2011
Einführung in Knowledge Graphs
in: Dieter Fensel u.A.: Knowledge graphs: methodology, tools and selected use cases Springer 2020, S.1-10 https://opac.haw-landshut.de/search?bvnr=BV046404198 ISBN: 9783030374396
Noy et al: Industry-scale knowledge graphs 10.1145/3331166 <https://dl.acm.org/doi/pdf/10.1145/3331166 > https://cacm.acm.org/magazines/2019/8/238342-industry-scale-knowledge-graphs/fulltext
Das RDF Datenmodell
Stuckenschmidt, Ontologien (s.o.)
Hitzler et al: Semantic Web. Grundlagen https://opac.haw-landshut.de/search?bvnr=BV022951762 Einfache Ontologien in RDF und RDF Schema, S. 33-88
RDF-Formate, incl. json-ld
Schema für Verschlagwortung:
SKOS
OpenThesaurus
Vergleich von Nicht-RDF und RDF-basieren Graph-Datenbanken:
neo4j
Ontotext GraphDB
Interessante Knowledge Graphen für die Praxis:
DBpedia Lehmann, Jens, et al. DBpedia–A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia. DOI 10.3233/SW-140134
Wikidata Vrandečić, Denny, and Markus Krötzsch. Wikidata: a free collaborative knowledgebase https://iccl.inf.tu-dresden.de/w/images/8/89/Wikidata-CACM-2014.pdf https://dl.acm.org/doi/10.1145/2629489
ConceptNet Speer, Robert, and Catherine Havasi. Representing General Relational Knowledge in ConceptNet 5 http://lrec-conf.org/proceedings/lrec2012/pdf/1072_Paper.pdf
WordNet Maciej Piasecki, Stan Szpakowicz, Christiane Fellbaum & Bolette Sandford Pedersen. Introduction to the special issue: On wordnets and relations. Language Resources and Evaluation volume 47, pages757–767(2013) https://link.springer.com/article/10.1007/s10579-013-9247-y
BabelNet Navigli, Roberto, and Simone Paolo Ponzetto. BabelNet: Building a very large multilingual semantic network https://www.aclweb.org/anthology/P10-1023.pdf
KBpedia Michael Bergamnn: A Knowledge representation practitionary. Springen 2018 DOI: 10.1007/978-3-319-98092-8 ISBN 978-3-319-98092-8
Vergleich DBpedia, YAGO, Wikidata: Ringler, D., & Paulheim, H. One knowledge graph to rule them all? Analyzing the differences between DBpedia, YAGO, Wikidata & co https://www.semanticscholar.org/paper/YAGO3%3A-A-Knowledge-Base-from-Multilingual-Mahdisoltani-Biega/6c5b5adc3830ac45bf1d764603b1b71e5f729616
YAGO: A Multilingual Knowledge Base from Wikipedia, Wordnet, and Geonames https://www.semanticscholar.org/paper/YAGO%3A-A-Multilingual-Knowledge-Base-from-Wikipedia%2C-Rebele-Suchanek/772f69b1dd966610edaa4ef2576d36142dc05928
WebIsA Seitner, Julian, et al. A Large DataBase of Hypernymy Relations Extracted from the Web http://www.lrec-conf.org/proceedings/lrec2016/pdf/204_Paper.pdf schema.org
R.V. Guha, Dan Brickley, Steve Macbeth: Schema.org: Evolution of Structured Data on the Web. Big data makes common schemas even more necessary. https://queue.acm.org/detail.cfm?id=2857276