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A Case-Based Reasoning Approach to Ontology Inference Engine Selection for Robust Context-Aware Services  

Shim, Jae-Moon (경희대학교 비스니스&서비스 연구센터)
Kwon, Oh-Byung (경희대학교 국제경영학부)
Publication Information
Journal of the Korean Operations Research and Management Science Society / v.33, no.2, 2008 , pp. 27-44 More about this Journal
Abstract
Owl-based ontology is useful to realize the context-aware services which are composed of the distributed and self-configuring modules. Many ontology-based inference engines are developed to infer useful information from ontology. Since these engines show the uniqueness in terms of speed and information richness, it's difficult to ensure stable operation in providing dynamic context-aware services, especially when they should deal with the complex and big-size ontology. To provide a best inference service, the purpose of this paper is to propose a novel methodology of context-aware engine selection in a contextually prompt manner Case-based reasoning is applied to identify the causality between context and inference engined to be selected. Finally, a series of experiments is performed with a novel evaluation methodology to what extent the methodology works better than competitive methods on an actual context-aware service.
Keywords
Context-aware Services; Ubiquitous Computing; Case-based Reasoning; Ontology; Ontology-based Inference Engine;
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