臺灣博碩士論文加值系統

　　辭書(Ontology)是構成語意網最重要的基礎，可以用來描述特定領域(Domain)下的知識。透過辭書使得存在於全球資訊網上的資源能夠明確的被定義，因此不只是人們可以藉由辭書了解並獲得網路上的資源，機器也可以透過辭書的描述，自動地存取或是整合網路上的資源。

　　目前知識的管理是一熱門的研究領域，在面臨多元化、複雜化的知識產出，如何整合、管理、分享這些知識是一大挑戰。而面對大量的知識，自動化的知識管理是必須的，由於知識是使用辭書來描述與定義，因此要達成知識之間的整合與分享，首先必須的工作為建立
辭書之間的對映，讓不同辭書的知識概念可以有語意上關連，進而達成知識的自動化的整合與管理。

　　因此本論文提出一個結合WordNet辭典的自動化辭書對映系統，來完成知識的整合與分享，本系統使用WordNet辭典的詞彙，結合觀察知識概念其鄰近概念關係的機制，來增進辭書中知識概念的對映精確度，並且可以完成不同辭書中其知識概念ㄧ對ㄧ與ㄧ對多的對映。

　　Ontology is the most important foundation of the Semantic Web, which will be the infrastructure for exchanging knowledge of different domains in the next generation of Internet. Through ontology, different domain knowledge can be extracted and abstracted as resources in the World Wide Web. People and machines, with proper interpretations, can easily and clearly understand and access resources on the Semantic Web. By the ontology, knowledge can be integrated or exchanged by machines on the network automatically.
　　
　　Presently, knowledge management is a popular research topic. With more and more pluralism and complicated knowledge established, it is a real challenge to organize, manage, extend and share useful knowledge. To deal with such an enormous amount of knowledge, the technology of automatic knowledge management becomes urgently needed. Knowledge of specific domains may be described and defined by different ontologies and deployed onto the semantic web. To achieve automatic knowledge exchange, it is necessary to build some mapping mechanism between the ontologies. This mapping mechanism will clarify the literal difference of semantically equivalent terminologies that describe the same knowledge but in different ontology.

　　This thesis designs and implements an ontology mapping mechanism. It is based on WordNet and can precisely find semantically equivalent but differently named terminologies in two different ontologies. It is done by using the WordNet to compare these names and attributes first, and then by observing and calculating the similarity of their neighboring concepts which are sibling, parental or children nodes in the ontology hierarchies. This ontology mapping mechanism supports one-to-one and one-to-many mapping between knowledge concepts of different ontologies.

第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 2
1.3 研究成果與貢獻 3
1.4 章節介紹 4

第二章 相關研究 5
2.1 辭書基本定義 5
2.2 辭書描述語言 8
2.2.1 資源描述架構(RDF) 10
2.2.2 資源描述綱要(RDFS) 11
2.2.3 DAML+OIL 12
2.2.4 OWL 13
2.2.5 辭書描述語言編輯器(Ontology Language Editor) 15
2.3 辭書對映 16
2.3.1 辭書對映的定義 16
2.3.2 辭書對映的起源 16
2.3.3 人工建立辭書對映 17
2.3.4自動化建立辭書對映及其相關研究 17
2.4 WordNet 22

第三章 自動化辭書對映架構與運作 25
3.1 辭書對映之基本定義 25
3.2 系統概觀 26
3.3 自動化辭書對映演算法 28

第四章 自動化辭書對映系統之實作 44
4.1 JWNL 44
4.2 辭書剖析 46
4.3 辭書剖析結果之對映 52
4.4 系統之效能評估 55
4.5 系統Recall值之改進 59

第五章 結論與未來展望 62
5.1 研究成果與結論 62
5.2 未來展望 63

參考文獻 65
自 述 68

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