Measuring Semantic Label Quality Using WordNet
نویسنده
چکیده
The automatic determination of defects in business process model and the assurance of a high quality standard are crucial to achieve easy to read and understandable models. Recent research has focused its efforts on the analysis of structural properties of business process models. This paper instead wants to focus on the labels and their impact on the understandability and integratability of process models. Metrics which can help in identifying process model labels that could lead to misunderstandings are discussed and a way to automatically detect labels with a high chance of ambiguity is presented. Therefor the lexical database WordNet is used to obtain information about the specificity and possible synonyms of a word. The derived measures were then applied to the SAP Reference Model and the most interesting findings are presented.
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