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dc.contributor.authorJaved M
dc.contributor.authorAbgaz YM
dc.contributor.authorPahl C
dc.contributor.editor
dc.date.accessioned2018-05-07T12:28:12Z
dc.date.available2018-05-07T12:28:12Z
dc.date.issued2011
dc.identifier.urihttp://hdl.handle.net/10863/4530
dc.description.abstractThe challenge of ontology-driven modelling of information components is well known in both academia and industry. In this paper, we present a novel approach to deal with customisation and abstraction of ontology-based model evolution. As a result of an empirical study, we identify a layered change operator framework based on the granularity, domain-speci?city and abstraction of changes. The implementation of the operator framework is supported through layered change logs. Layered change logs capture the objective of ontology changes at a higher level of granularity and support a comprehensive understanding of ontology evolution. The layered change logs are formalised using a graph-based approach. We identify the recurrent ontology change patterns from an ontology change log for their reuse. The identi?ed patterns facilitate optimizing and improving the de?nition of domain-speci?c change patterns.en_US
dc.language.isoenen_US
dc.publisher[s.n.]en_US
dc.rights
dc.titleA layered framework for pattern-based ontology evolutionen_US
dc.typeBook chapteren_US
dc.date.updated2017-11-04T09:32:17Z
dc.publication.titleThe 3rd International Workshop Ontology-Driven Information System Engineering (ODISE)
dc.language.isiEN-GB
dc.description.fulltextopenen_US


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