Ontology Theory, Management and Design: Advanced Tools and by Faiez Gargouri, Wassim Jaziri

By Faiez Gargouri, Wassim Jaziri

Ontologies and formal representations of data are super robust instruments for modeling and handling huge functions in numerous domain names starting from wisdom engineering, to information mining, to the semantic internet. Ontology idea, administration and layout: complex instruments and versions, explores the big variety of functions for ontologies, whereas delivering a whole view of the either the speculation in the back of the layout and the issues posed by way of the sensible improvement and use of ontologies. This reference provides an in-depth and ahead taking a look research of present examine, illustrating the significance of this box and pointing towards to the way forward for wisdom engineering, administration and knowledge know-how.

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1997). In order to identify these goals and the limits, one has to clearly state why the ontology is being built, what its intended uses are and who are the stakeholders (Uschold & Gruninger, 1996). Then, one should use the answers to write a requirements specification document. , the extent to which the set of concepts and relations mobilized by the application scenarios are covered by the ontology. g. one concept ‘entity’ and one relation ‘in relation with’) can be exhaustive. , the extent to which specific concept and relation types are precisely identified.

45 Peirce, C. S. (1867), On a New List of Categories. In Proceedings of the American Academy of Arts and Sciences, 7(1868), 287–298. Quillian, M. R. (1966). Semantic Memory. Report AD-641671, Clearinghouse for Federal Scientific and Technical Information. , & Corby, O. (1999). Building a XML-based Corporate Memory. In Proceedings of the IJCAI’99 Workshop on Knowledge Management and Organizational Memories, Stockholm, Sweden. , & Ouaddari, R. (2000). Building a XML-based Corporate Memory, IEEE Intelligent Systems, Special Issue on Knowledge Management and Internet (pp.

Can we get ontologies from folksonomies, in particular domain ontologies, and envision folks-ontologies? , 2007). In this new context, ontologies would no longer be the responsibility of ontologists who would subsequently become facilitators of a community federated around the use of applications of these ontologies. The community, by its activity, would feed the life cycle of these ontologies; the evolution of the ontology would be a side effect of the normal activity of the community. From the perspective of ontological engineering, this is not about bringing the user into a loop of ontology design and maintenance but to assign basic tasks to a mass of users so that on a large-scale they handle problems notoriously difficult as the detection of a concept in a multimedia resource, the organization of concepts or the disambiguation.

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