Research of Maize Field Knowledge Representation Building Based on Ontology

Abstract:

The knowledge representation of the traditional artificial intelligence used different modeling methods and the different development tools, it led to the lack of interoperability between all kinds of knowledge, ontology solved the problem. Ontology, which is a model in semantic and knowledge hierarchy describing the concept and the relationship between the concepts, has been the focus of the field of artificial intelligence since it was proposed. This paper explored the knowledge representation based on ontology in the field of artificial intelligence, built the maize domain knowledge ontology, the result shows: ontology can effectively solve the heterogeneous problem of expression of complex knowledge, makes the computer to understand information for the semantic level, and benefit to develop the intelligent systems of maize.

• Periodical: Advanced Materials Research (Volumes 546-547)
• Pages: 441-445
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.546-547.441
• Online since: July 2012
• Authors: Ying Zhang, Gui Fen Chen
• Keywords: Artificial Intelligence (AI), Knowledge Representation and Modeling, Maize, Ontology, OWL, Protégé

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