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《Journal of Beijing Forestry University》 2008-01
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Intelligentized data input of forest resources based on OWL

LIU Peng-ju; ZHU Xiu-jie; ZHOU Yu-fei; LI Zhi-qing; TANG Xiao-ming.Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing,100091,P. R. China.  
Constructing ontology base of forest resource survey technical regulations is the foundation of knowledge reusing and sharing,and can improve the intelligentization and specialization of forest resource data input. By defining the ontology with OWL,the ontology base of forest resource survey knowledge was created. A complete set of rules among survey factors was inferred from ontology base based on JENA inference engine,and an inference technique was developed to support the intelligent input and logical check of data input software. As a consequence,the method in this paper can improve the commonality,maintainability and flexiblility of the software by separating the data input software from domain knowledge,and the intelligentization and specialization of the software are also enhanced.
【Fund】: “863”国家高技术发展计划项目(2006AA12Z213);; “十一五”国家科技支撑计划项目(2006BAD23B02)。
【CateGory Index】: S712
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