The Improvement of Business Information Retrieving

• Main Authors: Shih-fong Cheng, 鄭詩鋒
• Other Authors: Shih-Chieh Chou
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/36762169623295237251

碩士 === 國立中央大學 === 資訊管理學系碩士在職專班 === 93 === Abstract Nowadays, enterprises are eager to get external information from Internet. But it is not easy to efficiently find the needed information from such huge database. In the past, information was stored more or less well-structured in database. But now, lots of information is presented in unstructured or semistructured format in Internet. The retrieval and management of such large textual information from the Internet has been a challenging issue for enterprises or individuals. Information extraction is the process of extracting relevant data from semi-structured or unstructured documents and transforming them into structured representations. Many information extraction techniques have been proposed. However, they are ineffective on business information retrieval from Internet. In this research, we proposed a new information extraction system (Business Information Retrieval System) to enhance existing information extraction techniques. It can automaticly and accurately extract business information from Internet . It can help enterprises easily and efficiently get business information from Internet. According to the empirical evaluations on Business Information Retrieval System, the performance on automaticly business information retrieval is acceptable. This proposed system showed its capabilities in retrieving accuracy .