Taxonomy system for intelligent library search system

Abstract

Most libraries nowadays use computerized system for searching. Observing the case at Atma Jaya Catholic University of Indonesia's library system, the results given by the search engine tends to be inaccurate or irrelevant, mostly due to insufficient input by the user. This research proposes further utilization of taxonomy system based on Dewey Decimal Classification in libwrary application. User personal taxonomy information that represents each user's interest of certain knowledge fields is created based on user actions on library collections. Results show that by combining the user's taxonomy information with the collection's knowledge field information, search results relevancies can be increased.