| Abstract |
The On-Line Public Access Catalog (OPAC) system is an important tool in helping users to retrieve information from a large volume of data stored in a library. However, recent advances in information retrieval technologies have not yet been applied to most OPAC systems. This paper introduces the development of a novel OPAC system which applies a free advanced search engine available from the Internet and an automatic keyword extraction function developed by the Department of Library and Information Science. The resultant features of the OPAC system include relevance ranking, fuzzy search, relevance feedback, and query by quasi-natural language. Results show that such a system greatly simplifies query formulations and automatically prompts more relevant search vocabulary to the users, thus improving the performance of an OPAC system to a higher degree.
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