Development of a method for ontology-driven knowledge engineering and its application to the greywater reclamation system

本体驱动知识工程方法的开发及其在灰水回收系统中的应用

• 批准号: 138024-2011
• 负责人: Chan, ChristineWaichi
• 金额: $ 1.46万
• 依托单位: University of Regina
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=569303
• 关键词: Development; method; ontology; driven; knowledge

The objective of the proposed research program is to study use of ontology for supporting the development of semantic web applications and to develop a novel method for ontology-driven knowledge engineering. The method will provide guidance for knowledge and software engineers in developing web-based knowledge-based systems. As a case study, the method will be applied to the development of an intelligent monitoring system for the water reclamation system. The proposed research program will enhance understanding of how the use of an ontology can be effective for supporting development of a web-based knowledge-based system. The methods and systems developed would contribute to building information technology infrastructure necessary for supporting automation of industrial process systems in the energy and environment sectors, which is important for enhancing productivity of the Canadian industries. The application focus on the domain of greywater reclamation is timely nowadays when more than 50% of the world's population will soon be facing water shortages. Greywater reclamation is the process of treating soiled water from sources such as kitchen and bathroom sinks, so that the treated water can be used for irrigation, toilet flushing etc. Many cities in Canada are facing increasing sewage loads, to the extent that the sewage infrastructure is reaching maximum capacity and city growth is severely limited. The decision support system for monitoring of the greywater reclamation system will help operators better monitor the reclamation system, identify operational problems in a timely manner, and avoid downtime and costly maintenance. As a result, operation of the greywater reclamation system will be more stable and cost-effective, and higher quality reclaimed water will be produced. This would help reduce both fresh water consumption and loads on city sewer systems, enabling growth and expansion of Canadian cities. This has significant socio-economic and environmental benefits for Canadians.

建议的研究计划的目的是研究使用本体支持语义Web应用程序的开发，并开发一种新的方法本体驱动的知识工程。 该方法将为知识工程师和软件工程师开发基于Web的知识系统提供指导。 作为一个案例研究，该方法将被应用于水再生系统的智能监控系统的开发。拟议的研究计划将提高理解如何使用本体可以有效地支持基于网络的知识为基础的系统的开发。 所开发的方法和系统将有助于建立必要的信息技术基础设施，以支持能源和环境部门的工业流程系统自动化，这对提高加拿大工业的生产力至关重要。 如今，当世界上超过50%的人口即将面临水资源短缺时，灰水回收领域的应用是及时的。 灰水回收是处理来自厨房和浴室水槽等来源的污水的过程，因此处理后的水可以用于灌溉，厕所冲洗等。加拿大的许多城市都面临着日益增加的污水负荷，以至于污水基础设施达到最大容量，城市增长受到严重限制。 用于灰水回收系统监控的决策支持系统将帮助运营商更好地监控回收系统，及时发现运营问题，避免停机和昂贵的维护。 因此，灰水回收系统的运作将更稳定及更具成本效益，并将产生更高品质的再生水。 这将有助于减少淡水消耗和城市下水道系统的负荷，使加拿大城市能够增长和扩大。 这对加拿大人的社会经济和环境都有很大的好处。