Abstract
The management and exchange of knowledge in the Internet has become the cornerstone of technological and commercial progress. In this fast-paced environment, the competitive advantage belongs to those businesses and individuals that can leverage the unprecedented richness of web information to define business partnerships, to reach potential customers and to accommodate the needs of these customers promptly and flexibly. The Semantic Web vision is to provide a standard information infrastructure that will enable intelligent applications to automatically or semi-automatically carry out the publication, the searching, and the integration of information on the Web. This is to be accomplished by semantically annotating data and by using standard inferencing mechanisms on this data. This annotation would allow applications to understand, say, dates and time intervals regardless of their syntactic representation. For example, in the e-business context, an online catalog application could include the expected delivery date of a product based on the schedules of the supplier, the shipping times of the delivery company and the address of the customer. The infrastructure envisioned by the Semantic Web would guarantee that this can be done automatically by integrating the information of the online catalog, the supplier and the delivery company. No changes to the online catalog application would be necessary when suppliers and delivery companies change. No syntactic mapping of metadata will be necessary between the three data repositories.
To accomplish this, two things are necessary: (1) the data structures must be rich enough to represent the complex semantics of products and services and the various ways in which these can be organized; and (2) there must be flexible customization mechanisms that enable multiple customers to view and integrate these products and services with their own categories. Ontologies are the answer to the former, ontology views are the key to the latter.
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© 2004 Springer-Verlag Berlin Heidelberg
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Uceda-Sosa, R., Chen, C.X., Claypool, K.T. (2004). CLOVE: A Framework to Design Ontology Views. In: Atzeni, P., Chu, W., Lu, H., Zhou, S., Ling, TW. (eds) Conceptual Modeling – ER 2004. ER 2004. Lecture Notes in Computer Science, vol 3288. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30464-7_67
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DOI: https://doi.org/10.1007/978-3-540-30464-7_67
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