A knowledge-based model for context-aware smart service systems

IF 2.7 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Information and Telecommunication Pub Date : 2021-08-23 DOI:10.1080/24751839.2021.1962105
T. Dinh, Thanh Thoa Pham Thi, C. Pham-Nguyen, Le Nguyen Hoai Nam
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引用次数: 6

Abstract

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.
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上下文感知智能服务系统的基于知识的模型
物联网、大数据和移动计算的发展导致对智能服务的需求,这些服务能够感知环境并适应不断变化的环境。目前,由于缺乏足够的模型支持,智能服务系统的设计是一项复杂的任务。本文提出了上下文感知智能服务系统的概念,并提出了上下文感知智能服务系统的知识模型。该模型基于服务、服务系统和服务系统网络这三个服务层次,将领域知识和上下文感知知识组织为知识组件。上下文感知智能服务系统的知识模型集成了与智能服务、知识组件和上下文感知相关的所有信息和知识,这些信息和知识可以在部署智能服务的任何框架、基础设施或应用程序中发挥关键作用。为了演示该方法,本文介绍了两个关于聊天机器人作为客户支持的上下文感知智能服务的案例研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.50
自引率
0.00%
发文量
18
审稿时长
27 weeks
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