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

页数：5

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