An Intelligent Agent for Information Retrieval

R. Dhanapal, G.M. Boopathy, V. Shirley, and N. Geetha (India)


Information Retrieval, Phrase Indexing, Retrieval Agent, Next word index, Query evaluation, Inverted index


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.

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