The thesis addresses the design of a natural language understanding toolkit which works with virtual corporation on the World Wide Web. It is motivated by the desire to create a multilingual search engine to retrieve in both Chinese and English. Using a large distributed hypertext information retrieval system such as the World Wide Web, users find resources by following hypertext links, manually. As the size of the system increases, this becomes impractical.
Users can key in queries of search terms directly via a Web browser.
On the Web, information is stored in many languages other than English, so many multilingual sites exist. This thesis starts to address some problems of the World Wide Web relating to information retrieval. Then, it introduces existing information retrieval tools on the Web. The need to create a multilingual search engine is discussed. These include building up KBS and SALT virtual corporation, and index files, search engine, and constraints of query syntax.