...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Data & Knowledge Engineering >A knowledge-based system for generating interaction networks from ecological data
【24h】

A knowledge-based system for generating interaction networks from ecological data

机译：基于知识的生态数据交互网络生成系统

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

Semantic heterogeneity hampers efforts to find, integrate, analyse and interpret ecological data. An application case-study is described, in which the objective was to automate the integration and interpretation of heterogeneous, flower-visiting ecological data. A prototype knowledge based system is described and evaluated. The system's semantic architecture uses a combination of ontologies and a Bayesian network to represent and reason with qualitative, uncertain ecological data and knowledge. This allows the high-level context and causal knowledge of behavioural interactions between individual plants and insects, and consequent ecological interactions between plant and insect populations, to be discovered. The system automatically assembles ecological interactions into a semantically consistent interaction network (a new design of a useful, traditional domain model). We discuss the contribution of probabilistic reasoning to knowledge discovery, the limitations of knowledge discovery in the application case-study, the impact of the work and the potential to apply the system design to the study of ecological interaction networks in general.
机译：语义异质性阻碍了寻找，整合，分析和解释生态数据的努力。描述了一个应用案例研究，其目的是自动化异种花访生态数据的集成和解释。描述并评估了基于原型知识的系统。该系统的语义体系结构使用本体和贝叶斯网络的组合来表示和推理定性，不确定的生态数据和知识。这样就可以发现单个植物与昆虫之间的行为相互作用以及植物与昆虫种群之间的生态相互作用的高级背景知识和因果关系。该系统自动将生态交互组装到语义一致的交互网络（有用的传统领域模型的新设计）中。我们讨论了概率推理对知识发现的贡献，在应用案例研究中知识发现的局限性，工作的影响以及将系统设计总体上应用于生态交互网络研究的潜力。

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