基於相似度選取機制的本體論對映方法

本體論是作為知識表達的最佳工具，令更多不同領域的學者，能夠透過本體論，快速了解該領域知識，同時也是語意網之核心基礎。現今存在著許多不同領域的本體論，各自描述該領域之知識，儘管為相同領域，但因為建構者與建構目的之差異，導致相同領域的知識，會以不同型式描述，進而產生截然不同的知識定義架構。因而，關於本體論的應用，已經成為相當受到關心的議題，本體論對映尤為熱門。而OAEI協會，為歷年舉辦的本體論對映競賽，提供一個競賽平台，讓所有的本體論對映學者，能夠透過此競賽，彼此交流。本體論對映的核心便是透過特徵來計算其相似程度，早期的研究，因為研究需求及技術，所以系統僅能以單一相似度作為考量；爾後，陸續有更多學者投入該領域，研發出許多相似度聚合的方法。而本文便是透過多個相似度計算，及一系列的篩選動作，挑選出適當的對映組合，推薦給使用者，以期望能夠增加本體論對映系統的準確率。

關鍵字

相似度聚合；相似度選取；本體論對映；本體論

並列摘要

Ontology is a good method to define knowledge and to record the domain of knowledge. There are different ways of designing ontology. Based on different goals of different builders, same domain may have different ontology structures defined in different types. How to integrate same ontology in different structures has become an important research topic, and ontology mapping has received some attention. OAEI is an organization which provides a chance for those who study ontology mapping to compare their study with others. What is important for ontology mapping is to know how to find the similarity part in two sets of ontology. In early years, most study just considered single similarity for their ontology mapping. Later, more researchers have started to develop many methods to filter out the possible combination of mapping two structures to produce a better result. In this study, I expect to improve ontology mapping efficacy by using multiple similarity and a series of filtering actions to produce high possibility to mapping.

並列關鍵字

Similarity Selection ； Ontology Mapping ； Ontology ； Aggregation

參考文獻

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國際替代計量

基於相似度選取機制的本體論對映方法

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