subject predicate object context
9630 Creator 042299abcac54fe25a1be6bf1dc3c949
9630 Creator 31c7eb2d63e8876c11e2755b271c8287
9630 Creator c9aa7f2e582d191ed728ad414c5ea711
9630 Creator 3d1c6f6e30bfcc1da11817ee2a00fd8c
9630 Date 2007-06
9630 Is Part Of repository
9630 Is Part Of p15708268
9630 abstract The semantic web vision is one in which rich, ontology-based semantic markup will become widely available. The availability of semantic markup on the web opens the way to novel, sophisticated forms of question answering. AquaLog is a portable question-answering system which takes queries expressed in natural language and an ontology as input, and returns answers drawn from one or more knowledge bases (KBs). We say that AquaLog is portable because the configuration time required to customize the system for a particular ontology is negligible. AquaLog presents an elegant solution in which different strategies are combined together in a novel way. It makes use of the GATE NLP platform, string metric algorithms. WordNet and a novel ontology-based relation similarity service to make sense of user queries with respect to the target KB. Moreover it also includes a learning componment, which ensures that the performance of the system improves over the time, in response to the particular community jargon used by end users.
9630 authorList authors
9630 issue 2
9630 status peerReviewed
9630 volume 5
9630 type AcademicArticle
9630 type Article
9630 label Lopez, Vanessa ; Uren, Victoria ; Motta, Enrico and Pasin, Michele (2007). AquaLog: an ontology-driven question answering system for organizational semantic intranets. Journal of Web Semantics: Science, Services and Agents on the World Wide Web, 5(2) pp. 72–105.
9630 label Lopez, Vanessa ; Uren, Victoria ; Motta, Enrico and Pasin, Michele (2007). AquaLog: an ontology-driven question answering system for organizational semantic intranets. Journal of Web Semantics: Science, Services and Agents on the World Wide Web, 5(2) pp. 72–105.
9630 Title AquaLog: an ontology-driven question answering system for organizational semantic intranets
9630 in dataset oro