近年來，隨著電腦科技蓬勃發展，多種普及運算和情境感知的系統帶給了人類便利且貼心的服務。相對的，由於服務需要大量的情境資訊，而這些情境資訊可能由各種不同的感測器提供，而每種感測器的資料格式又不盡相同，使得系統需要花費額外的處理時間去整合不同的情境資訊。針對這個問題，本論文提出一情境分享平台，目的是運用本體論的技術來規範情境資訊的表達，並以多代理人的分散式架構進行設計。系統中將代理人分成三種：感測代理人、服務代理人和情境伺服器;感測代理人負責蒐集感測器或是外部可提供的資訊，而服務代理人則提供服務和產生新的知識，最後情境伺服器負責收集情境資訊，並以CONON提出的階層性架構為基礎分離出Sensing Ontology，使得不同的Sensing Ontology可以被不同領域的本體論融合使用。我們使用此本體論結構提出一個動態的本體論知識庫機制，當平台上的感測代理人和服務代理人增加時，可直接對情境伺服器提供情境資訊，使得情境伺服器用以描述本體論將變得多元，可以更詳盡的描述各種情境資訊。

In recent years, pervasive computing and context awareness technologies bring many convenient services for human beings. Lots context information needs to be exchanged. The context information represents in different way from different resources. Make the context-aware system consuming lot efforts to deal with the different context information representation ways. This thesis uses ontology specifies the expression of context information and proposes context-sharing platform architecture. The platform was designed as multi-agent distributed system. The platform can be divided into three parts: sensing agent, service agent and context server. The sensing agents collect the information provided by sensors or external resources. The service agents provide services and create new knowledge by the contexts provided by the context servers. The context servers collect the information provided by the sensing agents and the he service agents. Also separate a Sensing Ontology base on CONON hierarchical structure. Sensing Ontology can be merged into other ontologies for different domain. A dynamic ontology mechanism is proposed by such an ontological structure. Make the diversity of the description ontology in the context servers can be gained.

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