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Dogont–智能软骨环境的本体建模

DogOnt – Ontology Modeling for Intelligent Domotic Environments
课程网址: http://videolectures.net/iswc08_bonino_domide/  
主讲教师: Dario Bonino
开课单位: 都灵政治中心
开课时间: 2008-11-24
课程语种: 英语
中文简介:
由于domotic组件的商业可用性不断增加,家庭自动化最近获得了新的动力。在此背景下,研究人员正在努力提供互操作机制并在其上添加智能。为了支持智能行为,房屋建模是了解当前和未来房屋状态以及可能推动更复杂行动的基本要求。在本文中,我们提出了一种新的房屋建模本体,旨在适应现实世界的家庭系统能力,并支持当前可用和未来解决方案之间的互操作。利用在语义Web环境中开发的技术,DogOnt本体支持房屋的设备/网络独立描述,包括“可控制”和建筑元素。状态和功能通过适当的继承机制和适当定义的SWRL自动完成规则自动与建模元素相关联,这些规则简化了建模过程,同时通过分类推理实现了自动设备识别。
课程简介: Home automation has recently gained a new momentum thanks to the ever-increasing commercial availability of domotic components. In this context, researchers are working to provide interoperation mechanisms and to add intelligence on top of them. For supporting intelligent behaviors, house modeling is an essential requirement to understand current and future house states and to possibly drive more complex actions. In this paper we propose a new house modeling ontology designed to fit real world domotic system capabilities and to support interoperation between currently available and future solutions. Taking advantage of technologies developed in the context of the Semantic Web, the DogOnt ontology supports device/network independent description of houses, including both “controllable” and architectural elements. States and functionalities are automatically associated to the modeled elements through proper inheritance mechanisms and by means of properly defined SWRL auto-completion rules which ease the modeling process, while automatic device recognition is achieved through classification reasoning.
关 键 词: 家庭自动化; 智能行为; 房屋建模本体
课程来源: 视频讲座网
最后编审: 2019-04-27:cwx
阅读次数: 58