The Semantic Web - ISWC 2018 (eBook, PDF)

17th International Semantic Web Conference, Monterey, CA, USA, October 8-12, 2018, Proceedings, Part II
Redaktion: Vrandecic, Denny; Simperl, Elena; Kaffee, Lucie-Aimée; Sabou, Marta; Celino, Irene; Presutti, Valentina; Suárez-Figueroa, Mari Carmen; Bontcheva, Kalina

• Format: PDF

Produktbeschreibung

Paper 'The SPAR Ontologies' is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 397
• Erscheinungstermin: 1. Oktober 2018
• Englisch
• ISBN-13: 9783030006686
• Artikelnr.: 59880215

Inhaltsangabe

Resources Track.- DOREMUS: A Graph of Linked Musical Works.- Audio Commons ontology: a data model for an audio content ecosystem.- Wiki-MID: a very large Multi-domain Interests Dataset of Twitter users with mappings to Wikipedia.- HeLiS: An Ontology For Supporting Healthy Lifestyles.- SABINE: A Multi-Purpose Dataset of Semantically-Annotated Social Content.- Querying Large Knowledge Graphs over Triple Pattern Fragments: An Empirical Study.- Drammar: a comprehensive ontological resource on drama.- The SPAR Ontologies.- Browsing Linked Data Catalogs with LODAtlas.- A Framework to build Games with a Purpose for Linked Data Refinement.- VoxEL: A Benchmark Dataset for Multilingual Entity Linking.- The Computer Science Ontology: A Large-Scale Taxonomy of Research Areas.- DistLODStats: Distributed Computation of RDF Dataset Statistics.- Knowledge Integration for Disease Characterization: A Breast Cancer Example.- Comunica: a Modular SPARQL Query Engine for the Web.- VoCaLS: Vocabulary & Catalog of Linked Streams.- A Complex Alignment Benchmark: GeoLink Dataset.- In-Use Track.- Supporting Digital Healthcare Services Using Semantic Web Technologies.- Semantic Technologies for Healthy Lifestyle Monitoring.- Reshaping the Knowledge Graph by connecting researchers, data and practices in ResearchSpace.- Ontology-Based Recommendation of Editorial Products.- Synthesizing Knowledge Graphs from web sources with the MINTE+ framework.- Getting the Most out of Wikidata: Semantic Technology Usage in Wikipedia's Knowledge Graph.