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From Information Systems Development to Enterprise Engineering Read chapter Read first chapter

2011 | OriginalPaper | Chapter

Adapting the Lesk Algorithm for Calculating Term Similarity in the Context of Requirements Engineering

Authors : Jürgen Vöhringer, Günther Fliedl

Published in: Information Systems Development

Publisher: Springer New York

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Abstract

Calculating similarity measures between schema concept terms has turned out to be an essential task in our requirements engineering research. The reason is that automatic integration of source texts and terms in the requirements engineering domain presupposes decisions about the similarity and the conflict potential of linguistic units, i.e. by default words. After shortly discussing several WordNet based similarity measures, we propose the Lesk algorithm as the most suitable choice for the integration task. Our test results show that both the Lesk algorithm and the underlying lexicon (i.e. WordNet) can be optimized for engineering purposes. We describe in detail how Lesk and WordNet can be applied for term conflict recognition and resolution during the engineering workflow.

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previous chapter A Requirements Engineering Approach to Improving IT-business Alignment
next chapter SysML Parametric Diagrams in Business Applications
Literature
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Vöhringer J, Gälle D, Fliedl G, Kop C, Bazhenov M (2010) Using linguistic knowledge for fine-tuning ontologies in the context of requirements engineering.International Journal of Computational Linguistics and Applications, Vol. 1, No. 1-2 2010, in: chapter 5 Applications, ISSN 0976-0962, Bahri Publications
Metadata
Title
Adapting the Lesk Algorithm for Calculating Term Similarity in the Context of Requirements Engineering
Authors
Jürgen Vöhringer
Günther Fliedl
Copyright Year
2011
Publisher
Springer New York
Book
Information Systems Development

Print ISBN: 978-1-4419-9645-9

Electronic ISBN: 978-1-4419-9790-6

Copyright Year: 2011

DOI
https://doi.org/10.1007/978-1-4419-9790-6_63

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