An intelligent agent for information retrieval

Authors:
R. Dhanapal;G. Muruga Boopathy;V. Shirley;N. Geetha
Affiliations:
Vel Multi Tech Sri Rangarajan Sakunthala Engineering College, Chennai, TamilNadu, India;Research Scholar Chennai, TamilNadu, India;Vel Sri. Ranga Sangu College (Arts and Science), Chennai, TamilNadu, India;Vel Sri. Ranga Sangu College (Arts and Science), Chennai, TamilNadu, India
Venue:
ACST '08 Proceedings of the Fourth IASTED International Conference on Advances in Computer Science and Technology
Year:
2008

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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.