By Faiez Gargouri, Wassim Jaziri
Ontologies and formal representations of information are super strong instruments for modeling and dealing with huge purposes in numerous domain names starting from wisdom engineering, to information mining, to the semantic internet. Ontology conception, administration and layout: complex instruments and types, explores the big variety of purposes for ontologies, whereas offering an entire view of the either the idea in the back of the layout and the issues posed through the sensible improvement and use of ontologies. This reference offers an in-depth and ahead having a look research of present learn, illustrating the significance of this box and pointing towards to the way forward for wisdom engineering, administration and knowledge expertise.
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Additional info for Ontology Theory, Management and Design: Advanced Tools and Models
International Journal of Human-Computer Studies, 46(2/3), 293–310. , & Giaretta, P. (1995). Ontologies and Knowledge Bases: Towards a Terminological Clarification . In Mars, N. J. I. ), Towards Very Large Knowledge Bases. Amsterdam: IOS Press. , & Vetere, G. (1999). Ontoseek: Content-based access to the web. IEEE Intelligent Systems, 14(3), 70–80. , & Welty, C. (2000). Towards a methodology for ontology-based model engineering. In Proceedings of ECOOP-2000 Workshop on Model Engineering, Cannes, France.
It requires a determination of the domain entities and their relationships as well as different static and dynamic views of the expected system. The domain entities are not always simple nor organized since we must consider, when modeling, all the field’s concepts belonging to the universe of discourse as well as their pertinent relationships. , 2005). This model may contain some ambiguities and errors due to the incomprehension of the domain of study and the difficulty to determine its concepts and relationships.
G. description logics) may be useful to assist building ontology and allow maintenance updates, but the paradox of formalization is that to obtain this assistant the systems need formalization (formal definitions) that may rely on additional notions that will have to be structured too, and so on. Most of the knowledge engineering languages provide primitives to distinguish the ontological knowledge from the assertional knowledge, and have dedicated primitives for the description of the taxonomic structure of the ontology.
Ontology Theory, Management and Design: Advanced Tools and Models by Faiez Gargouri, Wassim Jaziri