Abstract

The advancement of the Internet of Things, big data, and mobile computing leads to the need for smart services that enable the context awareness and the adaptability to their changing contexts. Today, designing a smart service system is a complex task due to the lack of an adequate model support in awareness and pervasive environment. In this paper, we present the concept of a context-aware smart service system and propose a knowledge model for context-aware smart service systems. The proposed model organizes the domain and context-aware knowledge into knowledge components based on the three levels of services: Services, Service system, and Network of service systems. The knowledge model for context-aware smart service systems integrates all the information and knowledge related to smart services, knowledge components, and context awareness that can play a key role for any framework, infrastructure, or applications deploying smart services. In order to demonstrate the approach, two case studies about chatbot as context-aware smart services for customer support are presented.

Details

Title
A knowledge-based model for context-aware smart service systems
Author
Thang Le Dinh 1   VIAFID ORCID Logo  ; Thanh Thoa Pham Thi 2   VIAFID ORCID Logo  ; Pham-Nguyen, Cuong 3 ; Le Nguyen Hoai Nam 3 

 Business School, Université du Québec à Trois-Rivières, Québec, Canada 
 Technological University Dublin, Dublin 2, Ireland 
 Faculty of IT, University of Science, Ho Chi Minh City, Vietnam; Vietnam National University, Ho Chi Minh City, Vietnam 
Pages
141-162
Publication year
2022
Publication date
Jun 2022
Publisher
Taylor & Francis Ltd.
ISSN
24751839
e-ISSN
24751847
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2668626701
Copyright
© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons  Attribution – Non-Commercial License http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.