Remark -Reusable agent-based experience management and recommender framework

Abstract

In this paper we introduce an advanced experience management and recommendation framework. The framework exploits software agent technology to ensure distributed and robust functioning. In design and implementation we use state of the art methodologies, technologies and tools. Ontology is used for modeling and describing knowledge. The infrastructure is able to provide relevant recommendations to a requester entity based on recorded experiences from the past depending on the current context of the environment. Such infrastructure is suitable for environments where instant recommendation is required in a given situation. A concrete example implementation of this framework is introduced in the public administration organization where employees need knowledge according to their current work context which is represented by activities in a workflow process. © Springer-Verlag 2004.