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Providing most relevant page hits to the user is a major concern in Web search. To accomplish this goal, the user must be allowed to express his intent precisely. Secondly, page hit rating mechanisms should be used that take the user's intent into account. Finally, a learning mechanism is needed that captures a user's preferences in his Web search, even(More)
This paper addresses the problem of semantic query reformulation in the context of object-oriented deductive databases. It extends the declarative object-oriented speciications of F-logic proposed by Kifer and Lausen using the semantic query optimization technique developed by Chakravarthy, Grant, and Minker. In general, query processing in object-oriented(More)
The use of Web services as a means of dynamically discovering, negotiating, composing, executing and managing services to materialize enterprise-scale workflow is an active research topic. Existing approaches involve many disparate concepts, frameworks and technologies. What is needed is a comprehensive and overarching framework that handles the processing(More)
Knowledge Sifter is a scaleable agent-based system that supports access to heterogeneous information sources such as the Web, open-source repositories, XML-databases and the emerging Semantic Web. User query specifi cation is supported by a user agent that accesses multiple ontologies using an integrated conceptual m o del. A c o llection of cooperating(More)
Achieving interoperability in e-government services with two modes of semantic bridging: SRS and SWRL Abstract Data heterogeneity in the public sector is a serious problem and remains to be a key issue as different naming conventions are used to represent similar data labels. The e-government effort in many countries has provided a platform for government(More)