Ontology refinement for improved information retrieval

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摘要

Ontologies are frequently used in information retrieval being their main applications the expansion of queries, semantic indexing of documents and the organization of search results. Ontologies provide lexical items, allow conceptual normalization and provide different types of relations. However, the optimization of an ontology to perform information retrieval tasks is still unclear. In this paper, we use an ontology query model to analyze the usefulness of ontologies in effectively performing document searches. Moreover, we propose an algorithm to refine ontologies for information retrieval tasks with preliminary positive results.

论文关键词:Information retrieval,Information extraction,Ontology refinement,Lexicon cleansing

论文评审过程:Received 5 March 2009, Revised 8 May 2009, Accepted 17 May 2009, Available online 24 June 2009.

论文官网地址:https://doi.org/10.1016/j.ipm.2009.05.008