2008Computer Engineering and ScienceRequires access

Semantic Retrieval Research Based on Ontology

Zhigang Zhang

Open publisher page 1 citations

Abstract

The rapid growth and diversities of Web information bring a lot of difficulties to efficient information retrieval.The current information retrieval tools just offer-based searching,but ignore the semantic content of the keyword itself.The authors' library information retrieval system takes advantage of ontology,which expands the requirements of users to a semantic word set,and provides a document analyzer to filter the Web pages returned by the search agent according to a certain algorithm.Consequently it presents the most relavant documents to the users.

About this research paper

What this paper is about

The rapid growth and diversities of Web information bring a lot of difficulties to efficient information retrieval.The current information retrieval tools just offer-based searching,but ignore the semantic content of the keyword itself.The authors' library information retrieval system takes advantage of ontology,which expands the requirements of users to a semantic word set,and provides a document analyzer to filter the Web pages returned by the search agent according to a certain algorithm.Consequently it presents the most relavant documents to the users.

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Available abstract

The rapid growth and diversities of Web information bring a lot of difficulties to efficient information retrieval.The current information retrieval tools just offer-based searching,but ignore the semantic content of the keyword itself.The authors' library information retrieval system takes advantage of ontology,which expands the requirements of users to a semantic word set,and provides a document analyzer to filter the Web pages returned by the search agent according to a certain algorithm.Consequently it presents the most relavant documents to the users.

Key concepts: Computer science, Information retrieval, Ontology, Semantic Web, Human–computer information retrieval, Semantic Web Stack, Semantic search, Set (abstract data type)

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