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Displaying Hidden Information in Glossaries

Displaying Hidden Information in Glossaries

Marcela Ridao, Jorge Horacio Doorn
Copyright: © 2019 |Pages: 13
ISBN13: 9781522575986|ISBN10: 1522575987|EISBN13: 9781522575993
DOI: 10.4018/978-1-5225-7598-6.ch101
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MLA

Ridao, Marcela, and Jorge Horacio Doorn. "Displaying Hidden Information in Glossaries." Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics, edited by Mehdi Khosrow-Pour, D.B.A., IGI Global, 2019, pp. 1373-1385. https://doi.org/10.4018/978-1-5225-7598-6.ch101

APA

Ridao, M. & Doorn, J. H. (2019). Displaying Hidden Information in Glossaries. In M. Khosrow-Pour, D.B.A. (Ed.), Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics (pp. 1373-1385). IGI Global. https://doi.org/10.4018/978-1-5225-7598-6.ch101

Chicago

Ridao, Marcela, and Jorge Horacio Doorn. "Displaying Hidden Information in Glossaries." In Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics, edited by Mehdi Khosrow-Pour, D.B.A., 1373-1385. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7598-6.ch101

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Abstract

Requirements engineering is frequently seen as the activity of the software engineering process with fewer tools. Usually there are only available graphic and text editing aids. This is supported by the perception that it is a human-being-intensive task. This chapter is based on the understanding that such perception is just partially true. Models used along the requirements engineering process have underlying structures holding semantic information difficult to be seen by the reader. In fact, models created with well-defined objectives were designed to maximize their expressiveness for that objective. However, they may hold some useful shadowed information. Here is where a specialized tool may become valuable. From an epistemological point of view, this situation is similar to what happens in data mining. In this chapter, a tool able to make visible any clustering existing in universe of discourse glossaries is described. It is based on the automatic constructions of graphs using references embedded in the glossary itself.

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