Towards a Context-Aware Knowledge Model for Smart Service Systems
| Autor: | Le Nguyen Hoai Nam, Dinh Thang Le, Cuong Pham-Nguyen, Thanh Thoa Pham Thi |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Knowledge management
Computer science media_common.quotation_subject Big data Mobile computing Context (language use) 02 engineering and technology Smart services computer.software_genre Chatbot Adaptability 0502 economics and business 0202 electrical engineering electronic engineering information engineering Context awareness media_common Service (business) Service system Context-aware business.industry Computer Sciences 05 social sciences Smart service systems Knowledge component 050211 marketing 020201 artificial intelligence & image processing business computer |
| Zdroj: | Conference papers Computational Collective Intelligence ISBN: 9783030630065 ICCCI |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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