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A scalable approach for computing semantic relatedness using semantic web data

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

Authors

Computing semantic relatedness is an essential operation for many natural language processing (NLP) tasks, such as Entity Linking (EL) and Question Answering (QA). It is still challenging to find a scalable approach to compute the semantic relatedness using Semantic Web data. Hence, we present for the first time an approach to pre-compute the semantic relatedness between the instances, relations, and classes of an ontology, such that they can be used in real-time applications.

OriginalspracheEnglisch
Titel6th International Conference on Web Intelligence, Mining and Semantics, WIMS 2016
HerausgeberPatrice Bellot, Jacky Montmain, Sebastien Harispe, Francois Trousset, Michel Plantie, Rajendra Akerkar, Anne Laurent, Sylvie Ranwez
Anzahl der Seiten9
VerlagAssociation for Computing Machinery, Inc
Erscheinungsdatum13.06.2016
Aufsatznummer20
ISBN (elektronisch)9781450340564
DOIs
PublikationsstatusErschienen - 13.06.2016
Extern publiziertJa
Veranstaltung6th International Conference on Web Intelligence, Mining and Semantics, WIMS 2016 - Nimes, Frankreich
Dauer: 13.06.2016 → 15.06.2016
Konferenznummer: 6
https://dl.acm.org/doi/proceedings/10.1145/2912845

Bibliographische Notiz

Publisher Copyright:
© 2016 ACM.

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