Article

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

Authors:

Enrico MottaAuthors Info & Claims

ESWC'05: Proceedings of the Second European conference on The Semantic Web: research and Applications

Pages 546 - 562

https://doi.org/10.1007/11431053_37

Published: 29 May 2005 Publication History

Abstract

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.

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Published In

cover image Guide Proceedings

ESWC'05: Proceedings of the Second European conference on The Semantic Web: research and Applications

May 2005

726 pages

ISBN:3540261249

Editors:
Asunción Gómez-Pérez
Facultad de Informática, Dpto. de Inteligencia Artificial, Ontology Engineering Group, Universidad Politécnica de Madrid, Campus de Montegancedo s/n., Boadilla del Monte, Madrid
,
Jérôme Euzenat
Facultad de Informática, Dpto. de Inteligencia Artificial, Ontology Engineering Group, INRIA Rhône-Alpes & LIG, 655 Avenue de l'Europe, Montbonnot Saint-Martin, France

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DERI
Collexis: Collexis
ontoprise GmbH
AKT: AKT

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Springer-Verlag

Berlin, Heidelberg

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Published: 29 May 2005

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https://dl.acm.org/doi/10.1007/978-3-030-59277-6_13
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https://dl.acm.org/doi/10.1007/978-3-030-21348-0_29
Eshghishargh AGray KMilton SKolbe SAbramson D(2018)A semantic system for answering questions in neuroinformaticsProceedings of the Australasian Computer Science Week Multiconference10.1145/3167918.3167960(1-5)Online publication date: 29-Jan-2018
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Paredes-Valverde MValencia-García RRodríguez-García MColomo-Palacios RAlor-Hernández G(2016)A semantic-based approach for querying linked data using natural languageJournal of Information Science10.1177/016555151561631142:6(851-862)Online publication date: 1-Dec-2016
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Dramé KSmits GPivert OAnderst-Kotsis GIndrawan-Santiago M(2015)Coarse to fine keyword queries with user interactionsProceedings of the 17th International Conference on Information Integration and Web-based Applications & Services10.1145/2837185.2837210(1-10)Online publication date: 11-Dec-2015
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