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Building Intelligent Information Retrieval System Based on Ontology

Pan Ying, Wang Tianjiang, Jiang Xueling

Open publisher page 10 citations

Abstract

The traditional retrieval system based on classification and keyword is difficult to satisfy the high quality retrieval requirement. A prototype of an intelligent retrieval system is provided, and the running process, reason and query of the system are discussed. Ontologies are introduced to describe the semantic information of knowledge bases in order to meet requirement of utmost sharing and reuse of the domain knowledge, then designs several retrieval requirements, and carries out the retrieval instances. The experimental results show the system support semantic retrieval, it can retrieval the results match the retrieval terms on semantic, and improve the retrieval quality.

About this research paper

What this paper is about

The traditional retrieval system based on classification and keyword is difficult to satisfy the high quality retrieval requirement. A prototype of an intelligent retrieval system is provided, and the running process, reason and query of the system are discussed. Ontologies are introduced to describe the semantic information of knowledge bases in order to meet requirement of utmost sharing and reuse of the domain knowledge, then designs several retrieval requirements, and carries out the retrieval instances. The experimental results show the system support semantic retrieval, it can retrieval the results match the retrieval terms on semantic, and improve the retrieval quality.

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OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Available abstract

The traditional retrieval system based on classification and keyword is difficult to satisfy the high quality retrieval requirement. A prototype of an intelligent retrieval system is provided, and the running process, reason and query of the system are discussed. Ontologies are introduced to describe the semantic information of knowledge bases in order to meet requirement of utmost sharing and reuse of the domain knowledge, then designs several retrieval requirements, and carries out the retrieval instances. The experimental results show the system support semantic retrieval, it can retrieval the results match the retrieval terms on semantic, and improve the retrieval quality.

Key concepts: Computer science, Information retrieval, Ontology, Human–computer information retrieval, Reuse, Cognitive models of information retrieval, Data retrieval, Process (computing)

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