A Uniform Human Knowledge Interface to the Multi-Domain Knowledge Bases in the National Knowledge Infrastructure

Qin, Feng; Cao, Cungen; Si, Jing; Yan, Zheng

doi:10.1007/978-1-4471-0649-4_12

Cited by 3 publications

(1 citation statement)

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“…It can provide a user with what he wants to know quickly and correctly when he put logical query into its human knowledge interface (Feng et al, 2002). A query may have many expression forms, but they represent the same meaning.…”

Section: Service System Knowledge -Based Knowledgementioning

confidence: 99%

Ontology-based Agricultural Knowledge Acquisition and Application

Xie

Wang

Yang

Computer and Computing Technologies in Agriculture, Volume I

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Abstract:Agricultural knowledge is a special kind of domain knowledge, and is a significant basis for agricultural knowledge-based intelligent information service system. This paper presents main results of our ongoing project of Agricultural Knowledge Processing and Applications (AKPA): 1) An agriculture-specific ontology, 2) A method for agricultural knowledge acquisition and representation, 3) An experiment of An Intelligent Agricultural knowledge-based knowledge service system. At last, we will conclude the paper.Keywords: Ontology; Agricultural knowledge; knowledge Service System INTRODUCTIONAgricultural knowledge is a special kind of domain knowledge, and is a significant basis for An Intelligent Agricultural knowledge-based knowledge service system, such as agricultural instructional systems, agricultural language processing systems and agricultural expert systems. Sciences, Beijing, * Corresponding author, Address: Agricultural Information Institute, No. 12 Zhongguancun As the starting point of our project AKPA, we have chosen several influential sources of agricultural knowledge and consulted a few agricultural specialists. The knowledge sources includes: AND APPLICATION Agricultural Information Institute, The Chinese Academy of Agricultural

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Section: Service System Knowledge -Based Knowledgementioning

confidence: 99%