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Ontology-driven question answering in AquaLog

Lopez, Vanessa and Motta, Enrico (2004). Ontology-driven question answering in AquaLog. In: Natural Language Processing and Information Systems (Meziane, Farid and M´etais, Elisabeth eds.), Lecture Notes in Computer Science, Springer, Berlin, pp. 513–521.

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The semantic web vision is one in which rich, ontology-based semantic markup is widely available, both to enable sophisticated interoperability among agents and to support human web users in locating and making sense of information. The availability of semantic markup on the web also 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), which instantiate the input ontology with domain-specific information. AquaLog makes use of the GATE NLP platform, string metrics algorithms, WordNet and a novel ontology-based relation similarity service to make sense of user queries with respect to the target knowledge base. Finally, although AquaLog has primarily been designed for use with semantic web languages, it makes use of a generic plug-in mechanism, which means it can be easily interfaced to different ontology servers and knowledge representation platforms.

Item Type: Conference Item
Copyright Holders: 2004 Springer
ISBN: 3-540-22564-1, 978-3-540-22564-5
ISSN: 0302-9743
Academic Unit/Department: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 19268
Depositing User: Colin Smith
Date Deposited: 21 Dec 2009 12:04
Last Modified: 04 Oct 2016 10:30
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