Lopez, Vanessa; Motta, Enrico and Uren, Victoria
(2006).
| URL: | http://portal.acm.org/citation.cfm?id=1225790 |
|---|---|
| DOI (Digital Object Identifier) Link: | http://dx.doi.org/doi:10.3115/1225785.1225790 |
| Google Scholar: | Look up in Google Scholar |
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 component, 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: | Conference Item |
|---|---|
| Copyright Holders: | 2006 Association for Computational Linguistics |
| Extra Information: | NAACL-Demonstrations '06
Proceedings of the 2006 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume: demonstrations New York City, June 2006 pages 269–272, |
| Academic Unit/Department: | Knowledge Media Institute |
| Interdisciplinary Research Centre: | Centre for Research in Computing (CRC) |
| Item ID: | 28516 |
| Depositing User: | Kay Dave |
| Date Deposited: | 10 May 2011 09:58 |
| Last Modified: | 10 May 2011 09:58 |
| URI: | http://oro.open.ac.uk/id/eprint/28516 |
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