Building Intelligent Information Retrieval System Based on Ontology
Pan Ying, Wang Tianjiang, Jiang Xueling
Abstract
Pan Ying, Wang Tianjiang, Jiang Xueling
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.
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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)