Service Configuration Knowledge Representation, Acquisition and Reasoning

被引:0
作者
Shen, Jin [1 ]
Wu, Bin [1 ]
机构
[1] Shanghai Dianji Hosp, Sch Business, Shanghai, Peoples R China
来源
2014 11TH INTERNATIONAL CONFERENCE ON SERVICE SYSTEMS AND SERVICE MANAGEMENT (ICSSSM) | 2014年
关键词
services configuration; ontologies; rules; LCNN; CUSTOMIZATION; ONTOLOGIES; PRINCIPLES;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To appropriately meet increasingly diverse customer needs, services are committed to certain configuration in a paradigm similar with product mass customization. This paper presents a hybrid approach based on ontologies and rules to achieve representing, acquiring and reasoning service configuration knowledge. Structural knowledge is represented by ontology and formalized by OWL, resulting in well-defined semantics. Rule knowledge is represented in SWRL, a rule language based on OWL. In addition, rule knowledge is aquired by LCNN and rulex. Finally, knowledge reasoning is carried out based on the JESS rule engine.
引用
收藏
页数:5
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