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

Authors: Muhammad Javed; Yalemisew M. Abgaz; Claus Pahl

Addresses: School of Computing, Dublin City University, Dublin, Ireland ' School of Computing, Dublin City University, Dublin, Ireland ' School of Computing, Dublin City University, Dublin, Ireland

Abstract: 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.

Keywords: layered change log model; atomic change log; pattern change log; ontology evolution; triple-based ontology change representation; pattern mining.

DOI: 10.1504/IJMSO.2014.063137

International Journal of Metadata, Semantics and Ontologies, 2014 Vol.9 No.3, pp.184 - 192

Received: 16 Mar 2013
Accepted: 03 Jan 2014
Published online: 03 Jul 2014 *

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