Compliance knowledge bases contain declarative business logic, meant to ensure that business processes are aligned towards company goals and regulations. Maintaining the quality of respective knowledge bases is widely recognized as a challenging task. A significant problem here is a potential inconsistency of knowledge bases, as this impedes the actual use of respective artifacts. Such inconsistencies can result from the incremental, often collaborative, creation of said knowledge bases. We investigate how quantitative measures can be used to assess the severity of inconsistency for individual elements of compliance knowledge bases. We propose and prototypically implement a recommender system which detects and analyzes inconsistencies in compliance knowledge bases, supporting sustainable compliance knowledge base management in collaborative settings.
22.02.2018 - 10:15