Service configuration knowledge representation, acquisition and reasoning

Author

Jin Shen ; Bin Wu

Author_Institution

Sch. of Bus., Shanghai Dianji Univ., Shanghai, China

fYear

2014

fDate

25-27 June 2014

Firstpage

1

Lastpage

5

Abstract

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.

Keywords

customer services; inference mechanisms; ontologies (artificial intelligence); product customisation; JESS rule engine; LCNN; OWL; SWRL; Web ontology language; customer needs; knowledge acquisition; knowledge reasoning; knowledge representation; ontologies; product mass customization; rule knowledge; rulex; service configuration knowledge; structural knowledge; Cognition; Decision support systems; Educational institutions; Mass customization; OWL; Ontologies; LCNN; ontologies; rules; services configuration;

fLanguage

English

Publisher

ieee

Conference_Titel

Service Systems and Service Management (ICSSSM), 2014 11th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4799-3133-0

Type

conf

DOI

10.1109/ICSSSM.2014.6874048

Filename

6874048