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下一代监控系统的语义门户

A Semantic Portal for Next Generation Monitoring Systems
课程网址: http://videolectures.net/iswc2011_patton_semantic/  
主讲教师: Patton Evan W
开课单位: 伦斯勒理工学院
开课时间: 信息不详。欢迎您在右侧留言补充。
课程语种: 英语
中文简介:
我们提出了一种基于语义技术的新兴监测系统方法,该方法基于我们在无绳世界星座语义生态与环境门户(Semanteco)中的链接数据方法。我们的集成方案使用上层监控本体和中层监控相关领域本体。最初的领域本体关注于水和空气质量。然后,我们整合来自不同权威来源和多个监管本体(捕获联邦和州指南)的域数据,以实现污染检测和监控。基于OWL的推理方案识别与用户选择的法规相关的污染事件。我们的方法捕获并利用出处来实现透明度。此外,Semanteco还具有基于来源的方面生成、查询应答和通过SPARQL对集成数据的验证。我们介绍了Semanteco的一般方法,描述了在创建Semantaqua门户的水领域中大量构建的实现,并强调了对语义启用监测系统未来的一些潜在影响。
课程简介: We present a semantic technology-based approach to emerging monitoring systems based on our linked data approach in the Tetherless World Constellation Semantic Ecology and Environment Portal (SemantEco). Our integration scheme uses an upper level monitoring ontology and mid-level monitoring-relevant domain ontologies. The initial domain ontologies focus on water and air quality. We then integrate domain data from different authoritative sources and multiple regulation ontologies (capturing federal as well as state guidelines) to enable pollution detection and monitoring. An OWL-based reasoning scheme identifies pollution events relative to user chosen regulations. Our approach captures and leverages provenance to enable transparency. In addition, SemantEco features provenance-based facet generation, query answering, and validation over the integrated data via SPARQL. We introduce the general SemantEco approach, describe the implementation which has been built out substantially in the water domain creating the SemantAqua portal, and highlight some of the potential impacts for the future of semantically-enabled monitoring systems.
关 键 词: 语义技术; 监测系统; 生态环境门户
课程来源: 视频讲座网
最后编审: 2019-12-05:cwx
阅读次数: 45