Browse DORAS
Browse Theses
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Towards implicit knowledge discovery from ontology change log data

Javed, Muhammad and Abgaz, Yalemisew Mintsnote and Pahl, Claus (2011) Towards implicit knowledge discovery from ontology change log data. In: 5th International Conference on Knowledge Science, Engineering and Management (KSEM), 12 - 14 Dec 2011, Irvine, USA.

Full text available as:

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


Ontology change log data is a valuable source of information which reflects the changes in the domain, the user requirements, flaws in the initial design or the need to incorporate additional information. Ontology change logs can provide operational as well as analytical support in the ontology evolution process. In this paper, we present a novel approach to deal with change representation and knowledge discovery from ontology change logs. We look into different knowledge gathering aspects to capture every single facet of ontology change. The ontology changes are formalised using a graph-based approach. The knowledge based change log facilitates detection of similarities within different time series, discovering implicit dependencies between ontological entities and reuse of knowledge. We analyse an ontology change log graph in order to identify frequent changes that occur in ontologies over time. We identify different types of change sequences based on their order and completeness. Analysis of change logs also assists in extracting new change patterns and rules which cannot be found by simply querying or processing ontology change logs.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:Ontology Change Representation; Change Log; Pattern Discovery; Implicit Knowledge Discovery; Ontology Evolution
Subjects:Computer Science > Software engineering
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16829
Deposited On:09 Feb 2012 15:39 by Claus Pahl. Last Modified 27 Mar 2017 12:30

Download statistics

Archive Staff Only: edit this record