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To date, no ontology change management system exists that records the ontology changes based on the different levels of granularity. Once changes are performed using elementary-level change operations, they are recorded in the database at the elementary level accordingly. Such a change representation procedure is not sufficient to represent the intuition behind any applied change and thus, cannot capture the semantic impact of a change. In this paper, we discuss the recording of the applied ontology changes in the form of a layered change log. This knowledge-based layered change log facilitates the detection of the similarities within different time series, mining of change patterns and reuse of the knowledge. Here, the lower-level change log is utilised for recording of the applied ontology changes operational and mining of the change patterns analytical. The higher-level change log supports a comprehensive understanding of the ontology evolution.

Layered change log model: bridging between ontology change representation and pattern mining