An intelligent information retrieval agent

Authors:
R. Dhanapal
Affiliations:
Department of Information Technology, Vel Multi Tech Sri Rangarajan Sakunthala Engineering College, Avadi, Chennai 600 062, Tamil Nadu, India
Venue:
Knowledge-Based Systems
Year:
2008

Citing 4
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Abstract

To augment the information retrieval process, a model is proposed to facilitate simple contextual indexing for a large scale of standard text corpora. An edge index graph model is presented, which clusters documents based on a root index and an edge index created. Intelligent information retrieval is possible with the projected system where the process of querying provides proactive help to users through a knowledge base. The query is provided with automatic phrase completion and word suggestions. A thesaurus is used to provide meaningful search of the query. This model can be utilized for document retrieval, clustering, and phrase browsing.