Knowledge Navigation in Networked Digital Libraries
EKAW '99 Proceedings of the 11th European Workshop on Knowledge Acquisition, Modeling and Management
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The rapid growth of information networks motivates the need for the development of technologies to assist in finding and understanding the set of information elements relevant to a task in large scale multidatabase networks. The research reported in this paper suggests the use of a logical model to facilitate pro-active elicitation of schema information from multiple heterogeneous information sources. This is accomplished by providing a consistent, logically organized view of information across multiple discrete heterogeneous sources. The model dynamically clusters databases in a logical space, so that the elements within a cluster have a high degree of semantic correlation. Once a database cluster is formed, we need only search a relatively small coherent areas to find relevant information, rather than the entire space of database schemas. The elicitation process is guided by a combination of lexical, structural and semantic aspects of schema items in order to capture more meaning both about the contents of a requested information item and about its placement within a given information context. Since communications target specific database clusters scalability is enhanced, searches are accelerated, and interactions in a large collection of databases becomes tractable.