• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International journal of information and decision sciences >Decision support for nutrition management of grapes using ontology based on decision trees
【24h】

Decision support for nutrition management of grapes using ontology based on decision trees

机译：基于决策树的本体对葡萄营养管理的决策支持

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

For any decision support system, having meaningful, up-to-date, interoperable and consistent knowledge base is important. Ontologies can be used for representing knowledge semantics and knowledge sharing. Hence ontologies are getting more importance these days as heterogeneous integrated systems are used in almost all areas. Ontology gets evolved with increase in domain knowledge of experts. Change management of ontology is must to keep consistency of knowledge base. This paper demonstrates use of decision tree for ontology building and evolution. Detail algorithm for extending ontology from decision tree is discussed in the paper. For decision support using knowledge stored in ontology, ontology reasoning is used. Semantic web rule language is the technique used for ontology reasoning. Accuracy of decision support depends on strength and correctness of inference logic. Paper describes how accuracy of decision support improves with semi-automated construction of SWRL rules. The approach is validated with example of nutrition management system for grapes.
机译：对于任何决策支持系统而言，拥有有意义的，最新的，可互操作的和一致的知识库至关重要。本体可以用于表示知识语义和知识共享。因此，随着几乎所有领域都使用异构集成系统，本体论变得越来越重要。本体随着专家领域知识的增长而发展。本体的变更管理必须保持知识库的一致性。本文演示了决策树在本体构建和进化中的应用。本文讨论了从决策树扩展本体的详细算法。为了使用存储在本体中的知识进行决策支持，使用本体推理。语义网络规则语言是用于本体推理的技术。决策支持的准确性取决于推理逻辑的强度和正确性。论文描述了如何通过半自动构建SWRL规则来提高决策支持的准确性。以葡萄营养管理系统为例验证了该方法。

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