首页> 外文会议>International Conference on Artificial Intelligence >Framework for Ontology Based Expert Systems: Disease Pests Identification in Crops - A Case Study
【24h】

Framework for Ontology Based Expert Systems: Disease Pests Identification in Crops - A Case Study

机译:基于本体的专家系统框架:作物中的疾病与害虫鉴定 - 以案例研究

获取原文

摘要

In this paper, we present a framework of ontology-based expert systems. The presented framework is suitable for the semantic web scenario. It provides better results by generating its knowledge base on the fly from the distributed OWL ontologies that exist on the web and maintained by different groups of experts at different geographic locations. Protege is used to create and maintain OWL ontologies. The system embeds an OWL Transformer for transforming the OWL into JessML which is fed to JESS inference engine. The framework does not pose any restriction on the domain experts for regular updating and modifications of these distributed ontologies and is independent of the ontology versions. An ongoing work in the agriculture domain to identify the diseases and pests in different crops using the presented framework is included as a case study to validate the framework.
机译:在本文中,我们介绍了基于本体的专家系统的框架。呈现的框架适用于语义Web场景。它通过从网上存在的分布式猫头鹰本体生成其知识库并由不同地理位置的不同专家组维护来提供更好的结果。 Protege用于创建和维护OWL本体。该系统嵌入了OWL变压器,用于将OWL转换为JESSML,该jessml馈送到JESS推理引擎。该框架不会对域专家进行任何限制,用于定期更新和修改这些分布式本体,并与本体版本无关。在农业领域持续的工作,以鉴定使用所提出的框架识别不同作物中的疾病和害虫作为验证框架的案例研究。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号