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• W148774598 abstract "User requirements are usually written in textual form. Dealing with natural language textual specifications is complex. Analysts 1 have to cover all aspects of the requirements engineering process when working with the customer, such as work flows, psychological issues, and linguistic problems. We show how analysts can be supported during requirements elicitation and documentation. We present an approach to improve natural language requirements specifications using ontologies. We demonstrate by several examples from real requirements how an ontological reasoner called RESI 2 can uncover gaps, inaccuracies, ambiguities and ask the user to clarify them. In many cases, it supports the analyst by giving a small number of reasonable suggestions to choose from. The implementation of RESI is currently in progress." @default.
• W148774598 created "2016-06-24" @default.
• W148774598 creator A5042742488 @default.
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• W148774598 date "2009-01-01" @default.
• W148774598 modified "2023-09-23" @default.
• W148774598 title "Improving Natural Language Specifications with Ontologies." @default.
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