The Open UniversitySkip to content

AquaLog: an ontology-portable question answering system for the semantic web

Lopez, Vanessa; Pasin, Michele and Motta, Enrico (2005). AquaLog: an ontology-portable question answering system for the semantic web. In: The Semantic Web: Research and Applications. Second European Semantic Web Conference, ESWC 2005, Heraklion, Crete, Greece, May 29–June 1, 2005. Proceedings (Gómez-Pérez, Asunción and Euzenat, Jérôme eds.), Lecture Notes in Computer Science, Springer, Berlin, pp. 546–562.

DOI (Digital Object Identifier) Link:
Google Scholar: Look up in Google Scholar


As semantic markup becomes ubiquitous, it will become important to be able to ask queries and obtain answers, using natural language (NL) expressions, rather than the keyword-based retrieval mechanisms used by the current search engines. AquaLog is a portable question-answering system which takes queries expressed in natural language and an ontology as input and returns answers drawn from the available semantic markup. We say that AquaLog is portable, because the configuration time required to customize the system for a particular ontology is negligible. AquaLog combines several powerful techniques in a novel way to make sense of NL queries and to map them to semantic markup. Moreover it also includes a learning component, which ensures that the performance of the system improves over time, in response to the particular community jargon used by the end users. In this paper we describe the current version of the system, in particular discussing its portability, its reasoning capabilities, and its learning mechanism.

Item Type: Conference or Workshop Item
Copyright Holders: 2005 Springer-Verlag Berlin Heidelberg
ISBN: 3-540-26124-9, 978-3-540-26124-7
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetUK Engineering and Physical Sciences Research Council
Not SetNot SetDot.Kom project [IST-2001-34038]
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 18201
Depositing User: Colin Smith
Date Deposited: 11 Sep 2009 14:50
Last Modified: 01 May 2019 13:23
Share this page:


Altmetrics from Altmetric

Citations from Dimensions

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU