2010•Unpublished venueRequires access

Ontology-Based Knowledge Representation for Agricultural Intelligent Information Systems

Yuanyuan Wei, Rujing Wang, Xue Wang, Yimin Hu

Abstract

This paper introduces an agricultural intelligent information system knowledge representation based on ontology. Knowledge representation plays a primary role in agricultural intelligent information system as a knowledge-based system. Based on knowledge characteristics of agricultural intelligent information system, a knowledge representation method is presented in this paper. It has a knowledge structure base on frame knowledge unit and solving knowledge unit, and adopts ontology as knowledge describing language. The knowledge organization is implemented by the mapping between knowledge level and ontology level. This approach provides a great level of knowledge interoperability and knowledge sharing.

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Key concepts: Open Knowledge Base Connectivity, Ontology, Computer science, Knowledge base, Knowledge representation and reasoning, Knowledge-based systems, Knowledge management, Knowledge sharing