Reference number : GC-2017-Q2-00495, amendment number : , agreement type : G, recipient legal name : Zou, Ying (Queen’s University), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Collaborative Research and Development Grants - Project, program name french : Subventions de recherche et développement coopérative - projet, program purpose english : The Internet is becoming a global infrastructure to host heterogeneous services. Generally speaking, there are two types of services running on the Internet: (1) web services (e.g., on-line stores) are hosted by servers and provide users with software functionality by communicating with other web services; and (2) Internet of Things (IoT) services (e.g., thermostat apps) that directly communicate with hardware devices (e.g., thermostat) and make a direct impact to the environment (e.g., changing the room temperature). Despite the increasing use of the services on the Internet to support human activities, most on-line activities are performed manually. There is limited intelligent support to facilitate the interactions between human and machines._x000D_
   In this project, we collaborate with our industrial collaborators in IBM Canada to build a smart service composition framework that can perceive end-users' situational needs, automatically support end-users to conduct on-line tasks and reduce human cognitive burden. We aim to utilize machine learning algorithms to learn end-users' on-line activities and preferences over time to improve our service recommendation. The proposed project will focus on three aspects:1) Building a smart personal agent framework that can seamlessly integrate the traditional web services and IoT services, and enable an agent to act on behalf of an end-user in performing on-line tasks; 2) Creating analytics and predictive engines that track various information sources, analyze the information, and recommend services to end-users; and 3) Developing a multi-agents collaboration infrastructure that allows personal agents of various roles to communicate and interact on behalf of their end-users to achieve a common goal. _x000D_
   The results of our proposed project can allow end-users to create smart environments to be responsive to their needs and help improve the quality of their lives in various domains, such as e-health, e-commerce, financial services, and assisted living. This project will train 10 HQP (2 PhD, 4MSc, and 4 BSc) in the important area of software engineering, specifically SOA and IoT software._x000D_
_x000D_
_x000D_
_x000D_
_x000D_, program purpose french : The Internet is becoming a global infrastructure to host heterogeneous services. Generally speaking, there are two types of services running on the Internet: (1) web services (e.g., on-line stores) are hosted by servers and provide users with software functionality by communicating with other web services; and (2) Internet of Things (IoT) services (e.g., thermostat apps) that directly communicate with hardware devices (e.g., thermostat) and make a direct impact to the environment (e.g., changing the room temperature). Despite the increasing use of the services on the Internet to support human activities, most on-line activities are performed manually. There is limited intelligent support to facilitate the interactions between human and machines._x000D_
   In this project, we collaborate with our industrial collaborators in IBM Canada to build a smart service composition framework that can perceive end-users' situational needs, automatically support end-users to conduct on-line tasks and reduce human cognitive burden. We aim to utilize machine learning algorithms to learn end-users' on-line activities and preferences over time to improve our service recommendation. The proposed project will focus on three aspects:1) Building a smart personal agent framework that can seamlessly integrate the traditional web services and IoT services, and enable an agent to act on behalf of an end-user in performing on-line tasks; 2) Creating analytics and predictive engines that track various information sources, analyze the information, and recommend services to end-users; and 3) Developing a multi-agents collaboration infrastructure that allows personal agents of various roles to communicate and interact on behalf of their end-users to achieve a common goal. _x000D_
   The results of our proposed project can allow end-users to create smart environments to be responsive to their needs and help improve the quality of their lives in various domains, such as e-health, e-commerce, financial services, and assisted living. This project will train 10 HQP (2 PhD, 4MSc, and 4 BSc) in the important area of software engineering, specifically SOA and IoT software._x000D_
_x000D_
_x000D_
_x000D_
_x000D_, agreement title english : Cognitive Aware Smart Service Composition, agreement title french : Cognitive Aware Smart Service Composition, agreement number : CRDPJ, agreement value : 268000.0, agreement start date : 2017-08-23, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2021-2022)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2021-2022)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada