We have given a condensed overview of the UMDL SMS and the agents, protocols and languages that it encompasses. The system's benefits are its dynamic extensibility, the ability to write agent wrappers around legacy database systems (or even other existing web services), an effective allocation of system resource with little overhead, and a very open architecture that allows and encourages (via profits) any third-party to incorporate their agents into our society. Collectively, these mechanisms automate much of the administration of a digital library, including organizing information and services using ontological relationships, selecting, evaluating, and remembering useful services using machine learning, and deciding how to allocate (finite) resources to meet the evolving demands of a user community.
These results were achieved via the merging of different technologies which include: ontology design, market oriented design, and nested agent modeling/learning. Throughout the paper we mentioned research issues that still remain open and are under study. Still, we believe that the SMS has already demonstrated that it can meet most of the our original goals.