中文詞彙網鏈結資料化：從桌面資料庫至適用於語意網的詞彙知識本體

Abstract

本文旨在說明作者如何將中文詞彙網路（CWN）網絡化及知識本體化，使其成為適用於語意網的詞彙知識本體。網絡化CWN主要涉及兩項任務：其一是建構一個網路平台，用於瀏覽和編輯CWN的內容；其二是設計一個網頁應用程式介面，允許第三方以鏈結資料的形式存取CWN的資料。至於將CWN知識本體化，則是借用已經具備知識本體化訊息的普林斯頓詞彙網路（Princeton WordNet），透過對應兩者的同義詞集（synset）來完成。網絡化並知識本體化後的CWN，不僅能深化詞彙語義學和數位辭典學的理論探討，更對於語言工程和新興的第三代全球資訊網（亦即語意網）之實際應用有所助益。

The objective of this thesis is to webify and ontologize Chinese Wordnet (CWN), such that it can serve as a lexical ontology for use on the Semantic Web. To webify CWN involves primarily two tasks: one is to construct a web-based platform for browsing and editing the contents of CWN, the other to design a web application programming interface that allows third-parties to access the datasets of CWN as Linked Data; the ontologization of CWN, on the other hand, is achieved by synset mapping with Princeton WordNet, which has been ontologized as well as interlinked with an array of ontological and/or linguistic resources. The webified, ontologized version of CWN is expected to be not only of theoretical relevance in lexical semantics and digital lexicography, but also of practical use in language engineering and the emerging, third generation of the Word Wide Web, or the Semantic Web.