The architecture of the future Digital Libraries should be able to allow any users to access availableknowledge resources from anywhere and at any time and efficient manner. Moreover to the individual user,there is a great deal of useless information in addition to the substantial amount of useful information. Thegoal is to investigate how to best combine Artificial Intelligent and Semantic Web technologies for semanticsearching across largely distributed and heterogeneous digital libraries. The Artificial Intelligent andSemantic Web have provided both new possibilities and challenges to automatic information processing insearch engine process. The major research tasks involved are to apply appropriate infrastructure for specificdigital library system construction, to enrich metadata records with ontologies and enable semanticsearching upon such intelligent system infrastructure. We study improving the efficiency of search methodsto search a distributed data space like a Digital Library. This paper outlines the development of a CaseBasedReasoning prototype system based in an ontology for retrieval information of the Digital LibraryUniversity of Seville. The results demonstrate that the used of expert system and the ontology into theretrieval process, the effectiveness of the information retrieval is enhanced.
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