2014•Advanced materials researchOpen access

Research of Agricultural Information Management and Retrieval

Jun Liang, Chun Xia Jin, Lei Zhang, Xu Ning Liu

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Abstract

In order to improve the efficiency of agricultural information retrieval and provide the effect methods for the information retrieval of agricultural, the intelligent searching technology of agricultural information based on ontology is proposed. The paper firstly introduces the concept of ontology, analyzes the characters of agricultural knowledge, and constructs the related agricultural knowledge ontology and knowledge base, implementing the intelligent searching of the agricultural information. The results indicate that the research on agricultural ontology can contribute to organization and searching of agricultural scientific knowledge and provide methods for information organization and searching of agricultural knowledge.

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What this paper is about

In order to improve the efficiency of agricultural information retrieval and provide the effect methods for the information retrieval of agricultural, the intelligent searching technology of agricultural information based on ontology is proposed. The paper firstly introduces the concept of ontology, analyzes the characters of agricultural knowledge, and constructs the related agricultural knowledge ontology and knowledge base, implementing the intelligent searching of the agricultural information. The results indicate that the research on agricultural ontology can contribute to organization and searching of agricultural scientific knowledge and provide methods for information organization and searching of agricultural knowledge.

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Available abstract

In order to improve the efficiency of agricultural information retrieval and provide the effect methods for the information retrieval of agricultural, the intelligent searching technology of agricultural information based on ontology is proposed. The paper firstly introduces the concept of ontology, analyzes the characters of agricultural knowledge, and constructs the related agricultural knowledge ontology and knowledge base, implementing the intelligent searching of the agricultural information. The results indicate that the research on agricultural ontology can contribute to organization and searching of agricultural scientific knowledge and provide methods for information organization and searching of agricultural knowledge.

Key concepts: Ontology, Computer science, Agriculture, Knowledge base, Knowledge management, Information retrieval, Human–computer information retrieval, Data science

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