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Domain Knowledge Consistency Checking for Ontology-Based Requirement Engineering

Authors: Ying-ying Yang; Zongyong Li; Zhi-xue Wang;

Domain Knowledge Consistency Checking for Ontology-Based Requirement Engineering

Abstract

Domain knowledge is one of crucial factors to get a great success in requirements elicitation of high quality. In ontology-based requirements engineering, ontology is used to express domain knowledge, so that the inconsistency of domain knowledge can be found by semantic checking. This paper purposes a new algorithm based on Tableaux algorithm to detecting and resolving inconsistencies of ontology. All kinds of consistency rules of domain knowledge are formally defined at first, and then the semantic checking algorithm is presented to resolve these inconsistencies. Finally, a case study is given to show the process and validate the usability of the algorithm.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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