Machine Learning + On-line Libraries = IDL

Abstract

One of the current issues faced by information professionals is that of building digital libraries. In this context, two key points are represented by information capture, which involves complex pattern recognition problems, and integration of different DBMS technologies, in order to connect many libraries to form a unique virtual library. This paper presents IDL, a prototypical intelligent digital library service. IDL addresses both the problems mentioned above and proposes a solution for them: The former, by integrating learning tools and techniques in order to make effective, efficient and economically feasible the task of capturing the information that should be stored and indexed by content in a digital library; the latter, by defining a metaquery language which answers for the interoperability of the various digital libraries to be connected.