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Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Displaying Hidden Information in Glossaries

Displaying Hidden Information in Glossaries
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Author(s): Marcela Ridao (INTIA, Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina)and Jorge Horacio Doorn (Universidad Nacional del Oeste, Argentina & Universidad Nacional de La Matanza, Argentina)
Copyright: 2019
Pages: 13
Source title: Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 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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