由於對資訊科技以及網際網路/和企業內網路的依賴持續加深，異質資訊整合在電子化企業中已經成為一個普遍存在而且相當重要的議題。因為在缺乏整合的情形下個別地存取異質資訊來源可能會造成資訊的混亂，而且在電子化企業的環境中，這麼做也不符合成本效益決策支援管理分析。在傳統異質資訊整合的研究中，通常會創造一個共同資料模式來處理異質性的問題，而可延伸性標記語言已經成為網路上交換資訊時的標準文件格式，使得XML成為整合工作中共同資料模式的一個很好的候選者；然而，XML僅能夠處理結構異質性，無法處理語意異質性，而本體論被視為是一個重要而且自然的工具可以用來表現真實世界中模糊不清的語意和關係，因此，在本研究中也加入了本體論以期達到異質資訊整合中的語意互動性。 在本篇論文中，我們提出一個以學名結構導向非特殊隨機式對應的方法來產生全區域綱要方法（Global Schema），以促成非傳統而是以網路為基礎的異質資訊整合。我們也提出一個對異質資訊來源較具智慧性的查詢方法，該查詢方法應用了global-as-view （GAV）全區域景觀導向方法加上本體論觀念運用，可以同時提高對底層異質資訊來源的結構互動性和語意互動性。我們透過雛型系統的實作來驗證本研究所提供的異質資訊整合方法的可行性。 / The research issues of heterogeneous information integration have become ubiquitous and critically important in e-business (EB) with the increasing dependence on Internet/Intranet and information technology (IT). Accessing the heterogeneous information sources separately without integration may lead to the chaos of information requested. It is also not cost-effective in EB settings. A common general way to deal with heterogeneity problems in traditional HII is to create a common data model. The eXtensible Markup Language (XML) has been the standard data document format for exchanging information on the Web. XML only deals with the structural heterogeneity; it can barely handle the semantic heterogeneity. Ontologies are regarded as an important and natural means to represent the implicit semantics and relationships in the real world. And they are used to assist to reach semantic interoperability in HII in this research. In this thesis, we provide a generic construct orientation no ad hoc method to generate the global schema to enable the web-based alternative to traditional HII. We provide a wiser query method over multiple heterogeneous information sources by applying global-as-view (GAV) approach with the use of ontology to enhance both structural and semantic interoperability of the underlying heterogeneous information sources. We construct a prototype implementing the method to provide a proof on the validity and feasibility.

隨著網際網路和企業內部網路的盛行，異質資訊整合成為電子化企業中一個重要的議題，在網路上進行異質資訊整合涉及許多不同新的資訊技術，目前已經有些研究試圖利用延伸標記語言以及本體論當作中介技術來整合異質資訊，為了有效管理企業內的資訊，我們需要一個績效評估模型來衡量異質資訊整合的效能。在本研究中，我們提出了一個在異質資訊整合中運用延伸標記語言及本體論的績效評估工作量模型，並且建立了一個工作量產生器雛形；本研究的目標是希望發展出一個結合延伸標記語言及本體論的工作量模型，以測試在電子化企業中的異質資訊整合是否能整合不同的資訊模型，並且從這些資訊模型中衍生出語意，此工作量模型包含了延伸標記語言與本體論的資料模型與查詢模型，它們是依照延伸標記語言與本體論學名式的資料結構與查詢功能所制訂的，此外，控制模型則定義了績效評估執行環境中所需設定的變數，為了讓此工作量模型能具可攜性和延展性，以便輕易地應用在不同的領域情境中，本研究採取學名結構式且使用者定義、領域獨立的設計方法，最後，我們利用雛形實作來驗證本研究所提出的研究方法。 / With the popularity of Internet/Intranet, heterogeneous information integration becomes a hot IT topic in electronic business (EB) field. Heterogeneous information integration on the Web involves a number of new techniques. There have been research projects applying XML and ontology as mediated techniques to consolidate heterogeneous information. In order to manage and use information more effectively within the enterprise, a benchmark used to evaluate the mechanism of heterogeneous information integration is needed. In this research, we develop a XML and ontology benchmark workload model in heterogeneous information integration, and build a workload generation prototype. The objective of this research is to develop a workload model combines XML and ontology to test whether the heterogeneous information integration system under EB environment can overcome the diverse formats of content and derive meaning from this content. The workload model consists of XML and ontology data model and query model according to the generic data structure and query functionality. Also, a control model is created to set up the benchmark environment. In order to apply the workload model to different scenarios easier, this workload model is designed to be domain independent and generic-construct-based. Finally, we validate the research model through the prototype implementation.