Authors:
Melanie Langermeier
1
;
Thomas Driessen
1
;
Heiner Oberkampf
2
;
Peter Rosina
1
and
Bernhard Bauer
1
Affiliations:
1
University of Augsburg, Germany
;
2
University of Augsburg and Siemens AG, Germany
Keyword(s):
Variability Model, Modular Ontologies, Version Management, Change Management, Enterprise Architecture Management.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge Management
;
Knowledge-Based Systems
;
Modeling of Distributed Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Society, e-Business and e-Government
;
Symbolic Systems
;
Web Information Systems and Technologies
Abstract:
Modular ontology management tries to overcome the disadvantages of large ontologies regarding reuse and
performance. A possibility for the formalization of the various combinations are variability models, which
originate from the software product line domain. Similar to that domain, knowledge models can then be
individualized for a specific application through selection and exclusion of modules. However, the ontology
repository as well as the requirements of the domain are not stable over time. A process is needed, that
enables knowledge engineers and domain experts to adapt the principles of version and change management
to the domain of modular ontology management. In this paper, we define the existing change scenarios and
provide support for keeping the repository, the variability model and also the configurations consistent using
Semantic Web technologies. The approach is presented with a use case from the enterprise architecture domain
as running example.