An intelligent information retrieval agent

作者:

Highlights:

摘要

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.

论文关键词:Information retrieval,Phrase indexing,Retrieval agent,Next word index,Query valuation,Inverted index

论文评审过程:Received 11 December 2007, Accepted 11 March 2008, Available online 25 March 2008.

论文官网地址:https://doi.org/10.1016/j.knosys.2008.03.010