Abgaz, Yalemisew ORCID: 0000-0002-3887-5342, Javed, Muhammad ORCID: 0000-0001-9770-7640 and Pahl, Claus ORCID: 0000-0002-9049-212X (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.
Abstract
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.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
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 14:55 by Claus Pahl . Last Modified 21 Jan 2021 17:24 |
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