隨著網際網路的發展,技術的進步已經促進大量的訊息的成長.如何有效地找到跟取出資訊對使用者是很重要的. 在此篇論文裡,我會簡介由Tim Berners-Lee(全球資訊網的發明人跟全球資訊網協會總監)所發明的語意網概念,和這方面可用的描述語言如RDF(W3C建議)跟XML Topic Maps(ISO 13250) 兩者都提供一個資料可以被共享與再利用的共通架構. 我將在主題地圖知識庫上實作基於計畫為基礎的裁製服務.此研究把重點放在特別領域資訊上的主題地圖骨架上.我們建立一個基於框架式系統推理引擎的TAO模型和建立一個支持客制化服務的計畫性為基礎的詢問模型.除此之外,我們也提供一個XTM圖形環境讓使用者根據他們的架構來瀏覽一個主題地圖的內容. 透過這樣的機制,我希望提供一種更容易的知識管理跟知識呈現的方式和更有效的維護資訊的方法.
As the internet network develops, the progress of technology has promoted the growth of large amount of information volume. How to find and access the information effectively is most important for user. In this thesis, I have introduced the concept of Semantic Web which is invented by Tim Berners-Lee (the inventor of the World Wide Web and the director of the World Wide Web Consortium) and the available description language are RDF (W3C Recommendations) and XML Topic Maps (ISO 13250) which both provide a common framework that allows data to be shared and reused. I will implement the Planning–Based Tailored Services on Topic Maps Knowledge Base. This research emphasizes on Topic Maps skeleton on special domain information. We build a TAO module based the inference engine of frame-based system and build a planning based query module support customized services. Besides, we also provide a XTM graph view environment for user to browse the content of a topic map according to their structures. Through this kind of mechanism, I hope to provide a way for knowledge management and knowledge representation more easily and method for maintain information more efficiently.