近年來建築資訊模型(Building Information Modeling,BIM)被廣泛運用於營建產業當中，市面上亦有許多商用建模軟體，並使用IFC國際標準做為資料交換與共享的媒介，然而藉由建模軟體所匯出之IFC檔案架構十分複雜，不熟悉IFC標準的使用者在缺乏IFC模型知識與程式設計能力的情況下，欲進行IFC文件解析與開發是具有難度的。
有鑑於「知識工程」（Knowledge Engineering）開始崛起，本研究藉由語意網技術做到資料格式的解讀與統一，將建築資訊模型之IFC文件藉由統一的標記式語言(RDF)詮釋，使建築資訊模型文件轉換成知識本體語言文件(OWL)，本研究使用語意網開發平台—Apache Jena進行模型之操作，並使用知識本體查詢語言—SPARQL將所需之資訊，從建築模型知識本體中擷取出並儲存於雲端資料庫，提供網頁瀏覽之系統所需的模型資訊，用於操作WebGL 3D模型。本研究亦使用語意網技術特色之一的推論功能，建立自訂規則進行模型之推理與檢核，例如：建築設計規則、機電設備規範等，並使用建築知識本體模型進行模型推理作業，建立知識本體內個體與個體之間的新關聯關係，使模型知識更加豐富與多元，讓機器可以更精確地找出隱藏在文件內的知識，而使用者可藉由對知識本體進行查詢獲得所需的資訊。

In recent years, Building Information Modeling (BIM) has been widely adopted and used in the construction industry. There are also many commercial BIM software on the market. Presently, commercial BIM software use IFC as the standard for BIM information exchange. However, the IFC file architecture exported by modeling software is very complex. Users who are not familiar with IFC standards are difficult to analyze and develop IFC files in the absence of IFC model knowledge and programming capabilities. Therefore, this study adopts Semantic Web Technology for Parsing and Reasoning IFC Documents. The IFC file of the BIM model is interpreted by a unified markup language (RDF) to be converted into an Ontology Web Language (OWL) file. This study uses Apache Jena, a semantic web development platform, to operate the model in OWL and uses SPARQL, an ontology query language, to extract the information needed from the OWL file. The extracted information is stored in a cloud database for providing required model information to the web browsing system. In addition, this study also uses the inference function, which is one of the semantic web features, to establish a custom rule for reasoning and checking of models, such as architectural design rules, mechanical and electrical equipment specifications, by using the ontology model of BIM. So that the machine can more accurately find the hidden knowledge in the ontology file, and the user can query the ontology to obtain the required information.

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