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Title: Semantic question answering system over linked data using relational patterns
Authors: Hakimov, S.
Tunç H.
Akimaliev M.
Doğdu, Erdoğan
Keywords: linked data
pattern extraction
question answering
semantic web
Issue Date: 2013
Source: Joint EDBT/ICDT 2013 Workshops, 18 March 2013 through 22 March 2013, Genoa, 96732
Abstract: Question answering is the task of answering questions in natural language. Linked Data project and Semantic Web community made it possible for us to query structured knowledge bases like DBpedia and YAGO. Only expert users, however, with the knowledge of RDF and ontology definitions can build correct SPARQL queries for querying knowledge bases formally. In this paper, we present a method for mapping natural language questions to ontology-based structured queries to retrieve direct answers from open knowledge bases (linked data). Our tool is based on translating natural language questions into RDF triple patterns using the dependency tree of the question text. In addition, our method uses relational patterns extracted from the Web. We tested our tool using questions from QALD-2, Question Answering over Linked Data challenge track and found promising preliminary results. © 2013 ACM.
ISBN: 9781450315999
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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