Author ORCID Identifier
0000-0003-3119-666X; 0000-0002-5324-2746; 0000-0002-7057-753X
Document Type
Conference Paper
Rights
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Disciplines
Computer Sciences
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 a context-aware knowledge model for smart service systems that 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 context-aware knowledge model for 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. To demonstrate the approach, a case study about a chatbot as a smart service for customer support is presented.
DOI
https://doi.org/10.1007/978-3-030-63007-2_60
Recommended Citation
Le D.T., Thi T.T.P., Pham-Nguyen C., Nam L.N.H. (2020) Towards a Context-Aware Knowledge Model for Smart Service Systems. In: Nguyen N.T., Hoang B.H., Huynh C.P., Hwang D., Trawiński B., Vossen G. (eds) Computational Collective Intelligence. ICCCI 2020. Lecture Notes in Computer Science, vol 12496. Springer, Cham. DOI: 10.1007/978-3-030-63007-2_60
Publication Details
Lecture Notes in Computer Science, vol 12496