By Taniar D. (ed.), Rahayu J.W. (ed.)

Net Semantics & Ontology presents an outstanding review of currentresearch and improvement actions, whereas overlaying an extensiverange of themes together with ontological modeling, firm systems,querying and data discovery, and a variety of applications.Each bankruptcy includes a thorough learn of the subject, systematicproposed paintings, and a finished record of references. Thetheoretical and functional points of net semantics and ontologydevelopment mix to convey a distinct standpoint to this book.Researchers, software program builders, and IT scholars who are looking to enhancetheir wisdom of concerns in relation to modeling, adopting, querying,discovering wisdom, and construction ontologies and internet semantics willbenefit from net Semantics & Ontology.

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Our future work includes the mechanism to maintain consistency between the Ontology Views with the main ontology. This is important considering the fact that an ontology will dynamically evolve with time. We are going to evaluate the possibilities of adopting the concept of view update in relational or objectoriented databases. Techniques using the concept of incremental updates will be developed for this purpose, where it will determine what new instances, or concepts, have to be added, deleted, or modified in a materialized view when a change is applied to the base ontology.

Mohania, M. , & Kambayashi, Y. (1999). Data warehouse design and maintenance through view normalization. The 10th International Conference on DEXA ’99, Florence, Italy. , Dillon, T. , & Rahayu, W. (2005). Conceptual and systematic design approach for XML document warehouses. International Journal of Data Warehousing and Mining, 1(3). , & Musen, M. (2002). Promptdiff: A fixed-point algorithm for comparing ontology versions. Proceedings of the 18th National Conference on Artificial Intelligence. OMG-OCL.

Join Operator: A Join operator can be shown in its general form as: >< ( x , y ) =R = x >< [ jcondition ] y , where, optional join-condition provides meaningful merger of COs. A join-condition jcondition be of the form: (1) simple-condition: where the joincondition jcondition is specified using CO simple content scontent types, (2) complexcondition: where the join-condition jcondition is specified using CO complex content ccontent types, and (3) pattern-condition: where the join-condition jcondition is specified using a combination of one or more CO simple and complex content types in a hierarchy with additional constraints, such as ordering, etc.

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