Large-Scale Ontology Development and Agricultural Application Based on Knowledge Domain Framework

文献类型： 外文期刊

第一作者： Meng Xian-xue

作者： Meng Xian-xue;Su Xiao-lu;Ku Hai-yan;Wang Yi-qian;Li Jing;Su Xiao-lu

作者机构：

关键词： massive knowledge management;knowledge domain framework (KDF);large-scale ontology development environment (LODE);agricultural application

期刊名称：JOURNAL OF INTEGRATIVE AGRICULTURE （ 影响因子：2.848； 五年影响因子：2.979 ）

ISSN： 2095-3119

年卷期： 2012 年 11 卷 5 期

页码：

收录情况： SCI

摘要： The key activity to build semantic web is to build ontologies. But today, the theory and methodology of ontology construction is still far from ready. This paper proposed a theoretical framework for massive knowledge management - the knowledge domain framework (KDF), and introduces an integrated development environment (IDE) named large-scale ontology development environment (LODE), which implements the proposed theoretical framework. We also compared LODE with other popular ontology development environments in this paper. The practice of using LODE on management and development of agriculture ontologies shows that knowledge domain framework can handle the development activities of large scale ontologies. Application studies based on the principle of knowledge domain framework and LODE was described briefly.

分类号：

  • 相关文献

[1]Gene engineering in swine for agriculture. Wang Yan-fang,Huang Jiao-jiao,Zhao Jian-guo,Zhao Jian-guo. 2017

作者其他论文 更多>>

微信小程序