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dc.contributor.authorAbgaz YM
dc.contributor.authorJaved M
dc.contributor.authorPahl C
dc.contributor.editorMeersman R
dc.contributor.editorDillon T
dc.contributor.editorHerrero P
dc.date.accessioned2017-09-22T14:03:21Z
dc.date.available2017-09-22T14:03:21Z
dc.date.issued2011
dc.identifier.isbn978-3-642-25125-2
dc.identifier.issn0302-9743
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-642-25126-9_52
dc.identifier.urihttps://link.springer.com/chapter/10.1007%2F978-3-642-25126-9_52
dc.identifier.urihttp://hdl.handle.net/10863/3067
dc.description.abstractThe trend in content-based systems (CBSs) is shifting towards the use of ontologies to semantically enrich the content and increase its accessibility. The growing need of semantically rich content becomes a driving force for building ontology-driven content-based systems (ODCBSs). The building blocks of ODCBSs are ontologies, content and annotations, forming a layered information model. In most ODCBSs, changes in the content, in the ontology or in the annotation are inevitable and are observed on a daily basis. Any change on one layer of the architecture has an impact within the layer and on the other layers. Impact analysis in large multi-ontology CBS is a manual, time consuming and labour intensive process. It is done only when it is necessary. Based on observation and empirical analysis, we propose a conceptual framework for dependency-based impact analysis and identify the possible impacts and their causes, the dependency among entities, their severity and factors affecting impact analysis process in ODCBSs.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.titleA framework for change impact analysis of ontology-driven content-based systemsen_US
dc.typeBook chapteren_US
dc.date.updated2016-12-16T07:50:03Z
dc.publication.titleOn the Move to Meaningful Internet Systems: OTM 2011 Workshops, Confederated International Workshops and Posters: EI2N+NSF ICE, ICSP+INBAST, ISDE, ORM, OTMA, SWWS+MONET+SeDeS, and VADER 2011, Hersonissos, Crete, Greece, October 17-21, 2011. Proceedings
dc.journal.titleLecture Notes in Computer Science
dc.description.fulltextopenen_US


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