@inproceedings{1ccc54bbfc4f4d418831ad85d3ef24f8,
title = "Use of existing ontologies as input for structural complexity management: Reducing the effort for analysing and improving engineering systems",
abstract = "This paper presents an approach for combining two actual trends in the engineering domain: ontology-based knowledge management and structural complexity management. A focussed engineering system can be analysed and possibilities for improvements can be deduced with low effort by applying structure based algorithms on already existing ontologies. An overview of the current use of ontologies in the engineering domain is given for showing the various options for this application of structural complexity management. Necessary interfaces between ontology-based knowledge management and matrix-based structural complexity management are deduced by comparing both approaches considering data representation and analysis capabilities. The proposed approach is applied and discussed by the example of analysing an ontology originally developed for handling technical solution knowledge in the field of automation industry.",
keywords = "Multiple domain matrix, Reuse of knowledge, Structural complexity management, Structure computation, System analysis, System improvement, System modelling",
author = "Andreas Kohn and Maik Maurer and Schmidt, {Helena X.} and Udo Lindemann",
year = "2011",
language = "English",
isbn = "9789898425805",
series = "KEOD 2011 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development",
pages = "195--201",
booktitle = "KEOD 2011 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development",
note = "International Conference on Knowledge Engineering and Ontology Development, KEOD 2011 ; Conference date: 26-10-2011 Through 29-10-2011",
}