隨著知識經濟時代的來臨與跨企業虛擬研發的興起，企業的知識來源已不再侷限於企業本身。為支援虛擬研發的運作，分散式案例推理勢必扮演重要的角色。然而目前關於分散式案例推理的研究，多針對同一系統內之分散式案例，且均依預設之領域知識標準來實現知識分享，而系統間的知識分享卻未被重視。此外，傳統的案例式推理系統，多僅提供使用者近似的案例，無法依使用者之需求進行調適。

本研究目的在設計一應用於虛擬研發之以本體論為基分散式案例推理架構，並應用本體論工程技術來解決分散式案例異質與案例調適的問題，再利用本體論特性與多階段之演算法發展一本體論為基之分散式案例推理機制，使能依使用者之敘述，從分散式案例儲存庫中檢索出最相近的案例，再經由領域本體論概念間的關聯與限制，導出案例調適的法則，再對案例進行調適，以協助使用者獲得適當之案例，俾利於虛擬研發之知識分享。

With the advent of knowledge economy and virtual R&D models, enterprises get the knowledge not only from themselves but also from others. Distributed case-based reasoning system (DCBRS) plays an important role in virtual R&D by supporting knowledge sharing.

This study develops a novel mechanism for ontology-based distributed case-based reasoning using ontology and a proposed multistage algorithm to effectively support knowledge sharing within a virtual R&D environment. Tasks involved in this study are as follows: (i) design an ontology-based distributed case-based reasoning architecture and procedure, (ii) develop techniques related to the ontology-based distributed case-based reasoning, and (iii) implement an ontology-based distributed case-based reasoning mechanism. Developing methods associated with ontology-based distributed case-based reasoning involves the definition and representation of a user query model, definition and representation of a knowledge case model, definition and establishment of a knowledge case index structure, and development of a distributed knowledge case retrieval and knowledge case adaptation methods. Study results will facilitate heterogeneous knowledge sharing among enterprises participating in a virtual R&D.

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