Journal of the Korean Operations Research and Management Science Society (한국경영과학회지)

The Korean Operations Research and Management Science Society (한국경영과학회)
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A Case-Based Reasoning Approach to Ontology Inference Engine Selection for Robust Context-Aware Services

상황인식 서비스의 안정적 운영을 위한 온톨로지 추론 엔진 선택을 위한 사례기반추론 접근법

  • 심재문 (경희대학교 비스니스&서비스 연구센터) ;
  • 권오병 (경희대학교 국제경영학부)
  • Published : 2008.06.30
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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

References

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