NATURAL LANGUAGE QUESTION ANSWERING SYSTEM OVER LINKED DATA
نویسندگان
چکیده
منابع مشابه
Question Answering over Linked Data (QALD-4)
1 CITEC, Bielefeld University, Germany [email protected] [email protected] [email protected] 2 Alexandru Ioan Cuza University of Iasi, Romania [email protected] 3 IBM Research, Dublin, Ireland [email protected] 4 AKSW, University of Leipzig, Germany [email protected] 5 INRIA Sophia-Antipolis Méditerrané, Cedex, France elena.cabrio@i...
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The availability of large amounts of open, distributed and structured semantic data on the web has no precedent in the history of computer science. In recent years, there have been important advances in semantic search and question answering over RDF data. In particular, natural language interfaces to online semantic data have the advantage that they can exploit the expressive power of Semantic...
متن کاملQuestion Answering over Linked Data (QALD-5)
1 CITEC, Bielefeld University, Germany [email protected] [email protected] [email protected] 2 Alexandru Ioan Cuza University of Iasi, Romania [email protected] 3 IBM Research, Dublin, Ireland [email protected] 4 AKSW, University of Leipzig, Germany [email protected] 5 INRIA Sophia-Antipolis Méditerrané, Cedex, France elena.cabrio@i...
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An ever increasing amount of Linked Data is made available every day. Public triple stores offer the possibility of querying hundreds of millions of triples. But this information can only be retrieved using specialized query languages like SPARQL, so for the majority of Internet users, it is still unavailable. This paper presents a prototype system aimed at streamlining the access to the inform...
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We present a question answering system (CASIA) over Linked Data (DBpedia), which focuses on construct a bridge between the users and the Linked Data. Based on the Linked Data consisting of subject-property-object (SPO) triples, each natural language question firstly is transformed into a triple-based representation (Query Triple). Then, the corresponding resources in DBpedia, including class, e...
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ژورنال
عنوان ژورنال: Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering
سال: 2019
ISSN: 2667-4211
DOI: 10.18038/estubtda.624498