Open AccessNatural Language Questions and Answers for RDF Information Resources
Author(s) -
Chie Akita,
Motohiro Mase,
Yasuhiko Kitamura
Publication year - 2010
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2010.p0384
Subject(s) - rdf , computer science , key (lock) , graph , natural language , information retrieval , natural language processing , resource (disambiguation) , artificial intelligence , semantic web , theoretical computer science , computer network , computer security
We propose Questions and Answers (Q&A) method responding natural language questions about RDF information resource. When a natural language question and an RDF graph are given, keywords are extracted from the question using morphological analysis and keywords are converted to key elements referencing lexica describing correspondence relationships between keywords and elements. A question subgraph containing all key elements corresponding to keywords in the question are extracted from the RDF graph and the question subgraph is searched for an answer. We evaluate performance using an RDF information resource that describes our laboratory.
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