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AquaLog: an ontology-driven question answering system for organizational semantic intranets

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.

DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1016/j.websem.2007.03.003
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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.

Item Type: Journal Article
ISSN: 1570-8268
Keywords: Semantic Web; question answering; ontologies; natural language
Academic Unit/Department: Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 9630
Depositing User: Users 7283 not found.
Date Deposited: 03 Oct 2007
Last Modified: 02 Jan 2014 16:11
URI: http://oro.open.ac.uk/id/eprint/9630
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