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Authors: Hilda Kosorus 1 ; Andreas Bögl 2 and Josef Küng 1

Affiliations: 1 Johannes Kepler University, Austria ; 2 MEOVI, Austria

ISBN: 978-989-8565-10-5

Keyword(s): Query recommendation, Semantic similarity, Short text similarity, Taxonomy.

Related Ontology Subjects/Areas/Topics: Applications of Expert Systems ; Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Natural Language Interfaces to Intelligent Systems

Abstract: Semantic similarity has been extensively studied in the past decades and has become a rapidly growing field of research. Sentence or short text similarity measures play an important role in text-based applications, such as text mining, information retrieval and question answering systems. In this paper we consider the problem of semantic similarity between queries in a question answering system with the purpose of query recommendation. Our approach is based on an existing domain-specific taxonomy. We define innovative three-layered semantic similarity measures between queries using existing similarity measures between ontology concepts combined with various set-based distance measures. We then analyse and evaluate our approach against human intuition using a data set of 90 questions. Further on, we argue that these measures are taxonomy-dependent and are influenced by various factors: taxonomy structure, keyword mappings, keyword weights, query-keyword mappings and the chosen concept similarity measure. (More)

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Paper citation in several formats:
Kosorus, H.; Bögl, A. and Küng, J. (2012). Semantic Similarity between Queries in QA System using a Domain-specific Taxonomy.In Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8565-10-5, pages 241-246. DOI: 10.5220/0003965902410246

@conference{iceis12,
author={Hilda Kosorus. and Andreas Bögl. and Josef Küng.},
title={Semantic Similarity between Queries in QA System using a Domain-specific Taxonomy},
booktitle={Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2012},
pages={241-246},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003965902410246},
isbn={978-989-8565-10-5},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Semantic Similarity between Queries in QA System using a Domain-specific Taxonomy
SN - 978-989-8565-10-5
AU - Kosorus, H.
AU - Bögl, A.
AU - Küng, J.
PY - 2012
SP - 241
EP - 246
DO - 10.5220/0003965902410246

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