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Dependency analysis in ontology-driven content-based systems

Abgaz, Yalemisew Mintsnote and Javed, Muhammad and Pahl, Claus (2012) Dependency analysis in ontology-driven content-based systems. In: 12th Int. Conference on Artificial Intelligence and Soft Computing, 29 Apr - 03 May, 2012, Zakopane, Poland.

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Ontology-driven content-based systems are content-based systems (ODCBS) that are built to provide a better access to information by semantically annotating the content using ontologies. Such systems contain ontology layer, annotation layer and content layer. These layers contain semantically interrelated and interdependent entities. Thus, a change in one layer causes many unseen and undesired changes and impacts that propagate to other entities. Before any change is implemented in the ODCBS, it is crucial to understand the impacts of the change on other ODCBS entities. However, without getting these dependent entities, to which the change propagates, it is difficult to understand and analyze the impacts of the requested changes. In this paper we formally identify and define relevant dependencies, formalizing them and present a dependency analysis algorithm. The output of the dependency analysis serves as an essential input for change impact analysis process that ensures the desired evolution of the ODCBS.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:Dependency analysis; Change impact analysis; Contentbased systems; Ontology-driven content-based systems
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:16827
Deposited On:16 May 2012 15:55 by Claus Pahl. Last Modified 27 Mar 2017 12:32

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