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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