A Knowledge-Intensive CBR Application for Content-Based Retrieval in BULCHINO Catalogue

Knowledge-based systems (KBS) achieve their reasoning power mainly through the explicit representation and use of different kinds of knowledge about a certain domain. The comparison of different KBS revealed, however, that the design solutions for particular knowledge representation infrastructure differ, depending on the information to be integrated. This observation brings to the conclusion that KBS are often implemented in an ad hoc manner. In this paper we discuss the design of a knowledge-intensive application in the Cultural heritage domain. We present its architecture and underlying development methodology. We pay special attention to the knowledge model that is designed in compliance with the main principles of Semantic Web.