Semantic Similarity between Queries in QA System using a Domain-specific Taxonomy

Hilda Kosorus, Andreas Bögl, Josef Küng


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.


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Paper Citation

in Harvard Style

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 1: ICEIS, ISBN 978-989-8565-10-5, pages 241-246. DOI: 10.5220/0003965902410246

in Bibtex Style

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 1: ICEIS,},

in EndNote Style

JO - Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: 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