Towards a New Framework for Service Composition in the Internet of Things

被引：3
作者：
Berrani, Samir [1 ]
Yachir, Ali [1 ]
Aissani, Mohamed [1 ]
机构：
[1] Mil Polytech Sch EMP, Artificial Intelligence Lab, POB 17, Algiers 16111, Algeria
来源：
ADVANCES IN COMPUTING SYSTEMS AND APPLICATIONS | 2019年 / 50卷
关键词：
Internet of Things; Service composition; Rule-based system; Semantic web; DISCOVERY; CONTEXT;
D O I：
10.1007/978-3-319-98352-3_7
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Internet of Things' (IoT) services represent a great interest research topic for both academic and industrial communities due to their large application domains. New dynamic and automatic development approaches are created in order to improve their effectiveness based on service composition process. Indeed, they allow the aggregation of smart object's services to meet complex requirements from various application areas. This paper provides an architecture that describes a framework for service composition in IoT. Moreover, it proposes a rule-based reasoner where several facts and rules (knowledge base) are inferred to satisfy user queries. This approach is designed and implemented using SysML and Prolog platform respectively. The use-cases scenario and extensive tests show clearly the interest, feasibility, and suitability of the rule-based system for service composition in the IoT.
引用
收藏
页码：57 / 66
页数：10
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