Authors:
Lirong Xiong
1
;
Zibin Niu
2
and
Jing Fan
2
Affiliations:
1
College of Computer Science and Technology, Zhejiang University, College of Computer Science and Technology and Zhejiang University of Technology, China
;
2
College of Computer Science and Technology and Zhejiang University of Technology, China
Keyword(s):
Component semantics, Trustworthiness, Component composition, Feature meta-model, Credit rating.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Engineering
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Model Driven Architectures and Engineering
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Software Engineering
;
Symbolic Systems
Abstract:
Traditional component description methods lack sufficient semantic information. It is difficult for users to find suitable components to match their requirements. And it is also difficult in doing automatic composition and verification of components. Furthermore, the component trustworthiness is an important factor that must be considered during component composition process. Feature-Oriented Domain Analysis (FODA) that uses features and relations between features to describe the problem domain can provide necessary supports to component composition. This paper focuses on component functional semantics and component trustworthiness. A feature meta-model is proposed to provide sufficient semantic information, and trustworthiness is taken into account in the feature meta-model. Based on feature meta-model, it presents the component composition algorithm. Finally, an application of the approach in the credit evaluation domain is presented.