Analysis of domain specific ontologies for agent-oriented information retrieval

Rajatish Mukherjee, Partha Sarathi Dutta, and Sandip Sen
Department of Mathematical & Computer Sciences
University of Tulsa
e-mail:{rajatish,partha,sandip}@euler.mcs.utulsa.edu

Shopping on the Internet has become a convenient way of purchasing commodities of choice. With the boom of e-commerce, online
sellers are flooding the market with their products.  Personal agents have been developed that assist users by providing need-specific information which are obtained by generating, filtering, collecting, or transforming information available on the internet. The use of  ontology for domain-specific search and its usage for developing ``buyer's agents'' can be potentially fruitful.  We believe that assisting users to reformulate queries to maximize the quality of retrieved information will be a key enhancement of agent technology to information retrieval.  To provide this functionality, the use of a rich domain ontology will be necessary.  In this paper, we first identify the types of query reformulation that we believe will be particularly useful and the kind of  information to be represented in domain ontologies to enable this functionality.  We also compare three example domains to identify domain characteristics that determine the relative difficulty of providing effective query reformulations.

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