AQUA - Ontology-based question answering system

Vargas-Vera, Maria and Motta, Enrico (2004). AQUA - Ontology-based question answering system. In: MICAI 2004: Advances in Artificial Intelligence (Monroy, Ra´ul; Arroyo-Figueroa, Gustavo; Sucar, Luis Enrique and Sossa, Humberto eds.), Lecture Notes in Computer Science, Springer, Berlin, pp. 468–477.

DOI: https://doi.org/10.1007/978-3-540-24694-7_48

Abstract

This paper describes AQUA, an experimental question answering system. AQUA combines Natural Language Processing (NLP), Ontologies, Logic, and Information Retrieval technologies in a uniform framework. AQUA makes intensive use of an ontology in several parts of the question answering system. The ontology is used in the refinement of the initial query, the reasoning process, and in the novel similarity algorithm. The similarity algorithm, is a key feature of AQUA. It is used to find similarities between relations used in the translated query and relations in the ontological structures.

Viewing alternatives

Metrics

Item Actions

Export

You can export this page using these formats Digital Object Identifier - DOI

About

• Item ORO ID
• 19296
• Item Type
• Conference or Workshop Item
• ISBN
• 3-540-21459-3, 978-3-540-21459-5
• ISSN
• 0302-9743
• Academic Unit or School
• 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)
• Research Group
• Centre for Research in Computing (CRC)
• Copyright Holders
• © 2004 Springer
• Depositing User
• Colin Smith