發展語意感知的多媒體檢索系統

Developing Semantic-Aware Multimedia Retrieval System

張維強(Uei-Chiang Chang)

指導教授 ： 戚玉樑

中原大學/商學院/資訊管理研究所/碩士(2007年)

https://doi.org/10.6840/cycu200700703

摘要

傳統的內容檢索模式，是以文字性的描述做為主要處理的對象，缺乏對非文字性的資源做描述。資訊檢索的領域中，多媒體的內容檢索就是對非文字性的資源做Metadata的文字註記，以利使用者搜尋。但文字的註記方法，缺乏語意的表達和隱含知識的理解，使得機器無法判讀，造成使用者感知和資訊檢索的落差。為解決此問題，本研究以本體技術改良Metadata在文字註記上的不足，並以電影領域為例，使用正規概念分析、親和圖法、心智圖法，擷取電影領域的知識本體，使用知識本體的方式，做為多媒體內容之註記方法，發展語意感知的多媒體檢索系統。

關鍵字

多媒體 ； 檢索 ； 語意感知 ； 本體

並列摘要

The traditional content retrieval pattern takes the word description as the main processing object and lacks the description of the non-word resources. In the information retrieval field, the multimedia content retrieval makes the non-word resources into the word annotation of metadata in order to help the user to search. However, the method of word annotation lacks the expression of semantic and concealment of knowledgeable understanding. Therefore, the machine is unable to interpret and causes the user’s drop of sensation retrieval. In order to solve this problem, this research takes the movie field as the example. The acquired film ontology investigation, we pick up formal conceptual analysis, KJ method, Mind Map method and using for film ontology to developing semantic-aware multimedia retrieval system.

並列關鍵字

Retrieval ； Multimedia ； Semantic-Aware ； Ontology

參考文獻

[C05]戚玉樑，「知識擷取與知識表達協同程序於建構本體的概念架構」，資訊

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