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AQUA: an ontology driven question answering system

Vargas-Vera, Maria; Motta, Enrico and Domingue, John (2003). AQUA: an ontology driven question answering system. In: AAAI Spring Symposium, New Directions in Question Answering, 24-26 Mar 2003, Stanford University, CA, USA.

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Abstract

This paper describes AQUA our question answering over the Web. AQUA was designed to work over heterogeneous sources. This means that AQUA is equipped to work as closed domain and in addition to open-domain question answering. As a first instance, AQUA tries to answer a question using a Knowledge base. If a query cannot be satisfied over a knowledge base/database. Then, AQUA tries to find an answer on web pages (i.e. it uses as corpus the internet as resource). Our system uses NLP (Natural Language Processing), First order logic and Information Extraction technologies. AQUA has been tested using an ontology which describes academic life. Keywords Ontologies, Information Extraction, Machine Learning

Item Type: Conference Item
Academic Unit/Department: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 2996
Depositing User: Users 12 not found.
Date Deposited: 23 Aug 2006
Last Modified: 04 Aug 2016 03:50
URI: http://oro.open.ac.uk/id/eprint/2996
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