Linguistic tool based information elicitation in large heterogeneous database networks
S. Milliner, M. Papazoglou, Hans Weigand · Research portal (Tilburg University) · 1996
. In this paper a logical model to facilitate pro-active elicitation of schema information from multiple heterogeneous information sources is presented. This is achieved through high-level descriptors -- constructed using the WordNet linguistic tool -- whose aim is to provide a consistent, logically organized view of information across multiple discrete heterogeneous sources. The model dynamically clusters databases into clumps located in a logical space, so that the elements within a cluster have a high degree of semantic correlation. Thus, interactions between remote database sites are focused, irrelevant information is filtered out and searches are accelerated. Keywords : Large Scale Heterogenious Database Network, Linguistic Tool, Relationship Discovery, Information Elicitation, Dynamic Database Clustering. 1 Introduction The multitude, diversity and complexity of on-line information sources makes discovery of appropriate information a significant obstacle to a large-scale distrib...