DocumentCode
2965072
Title
Capability Ontology in Adaptable Service System Framework
Author
Thongtra, Patcharee ; Aagesen, Finn Arve
Author_Institution
Dept. of Telematics, Norwegian Univ. of Sci. & Technol., Trondheim, Norway
fYear
2010
fDate
20-25 Sept. 2010
Firstpage
279
Lastpage
286
Abstract
This paper presents a Capability Ontology (CapOnt) and a rule-based reasoning mechanism, which support service management within adaptable service systems. The ontology concepts comprise capability types, capability parameters and service management functions related to capabilities. Capability parameter values can be defined by constraints on other capability parameters. The service management functions included in the ontology are Capability Administration, Capability Configuration, Capability Allocation and Capability Performance Diagnosis. The service management functions are defined by rules consisting of constraints and management actions. The ontology concepts are represented in OWL (Web Ontology Language) and OWL/XDD (XML Declarative Description Language) - a rule-oriented knowledge representation. An intelligent conference room example with simulation results, that demonstrates the CapOnt and the rule-based reasoning, is also presented.
Keywords
XML; knowledge based systems; knowledge representation languages; ontologies (artificial intelligence); OWL; XDD; XML declarative description language; adaptable service system; capability administration; capability configuration; capability ontology; capability performance diagnosis; rule based reasoning; rule oriented knowledge representation; service management; web ontology language; Cognition; Monitoring; OWL; Object oriented modeling; Ontologies; Quality of service; XML; Adaptable system; Capability; Network and service management; Ontology;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing in the Global Information Technology (ICCGI), 2010 Fifth International Multi-Conference on
Conference_Location
Valencia
Print_ISBN
978-1-4244-8068-5
Electronic_ISBN
978-0-7695-4181-5
Type
conf
DOI
10.1109/ICCGI.2010.14
Filename
5628935
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