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

By Faiez Gargouri, Wassim Jaziri

Ontologies and formal representations of data are tremendous strong instruments for modeling and coping with huge functions in different domain names starting from wisdom engineering, to facts mining, to the semantic internet. Ontology concept, administration and layout: complicated instruments and types, explores the big variety of functions for ontologies, whereas offering an entire view of the either the idea at the back of the layout and the issues posed by means of the sensible improvement and use of ontologies. This reference offers an in-depth and ahead having a look research of present examine, illustrating the significance of this box and pointing towards to the way forward for wisdom engineering, administration and data know-how.

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The atom of knowledge in RDF consists therefore of triples of the form (subject, predicate, object). html, subject, site). The triples can be seen as binary predicates in logics or as the arcs of a directed labeled graph. This model has an XML syntax allowing us to represent, store and exchange RDF graphs. SPARQL provides a query language over RDF graphs, an XML language to represent the results of a query and a protocol for submitting a request to a remote server and for receiving the results.

Mereology The study of part-whole relationships. partonomy a classification based on part-of relation. system allows us to formally declare a number of knowledge primitives used to characterize the information managed by the system and to rely on these characterizations and the formalization of their meaning to automate processing tasks of the information. , production rules) or by relaxing the constraints that are too strict when no answer is found (using generalization inferences) or by grouping too numerous results according to their similarity in order to present them in a user-friendly way (conceptual grouping or clustering).

In Proc. , & Hepp, M. (2008). Games with a Purpose for the Semantic Web. IEEE Intelligent Systems, 23(3), 50–60. 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.

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