Grant: Discovery Grants Program - Individual
University of Regina
$20,000.00
Development of a method for ontology-driven knowledge engineering and its application to the greywater reclamation system
FY 2014-15
Summary
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.
Program
Discovery Grants Program - Individual
Recipient
Location
Saskatchewan, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
138024-2011
Name nom
Chan, ChristineWaichi
Department département
Engineering and Applied Science, Faculty of
Organization id
17
Institution établissement
University of Regina
Province en
Saskatchewan
Province fr
Saskatchewan
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2014
Competition year année de concours
2011
Award amount
20000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
Area of application code
801
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Computer software
Area of application fr
Logiciel
Research subject code
2803
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Knowledge representation
Research subject fr
Répresentation des connaissances
Partie
4
Nb partie
5
Application title
Development of a method for ontology-driven knowledge engineering and its application to the greywater reclamation system
Keyword
NSERC
Application summary
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.
