Profile-Based Information Supply from Text Sources

It is the common goal of today’s knowledge management systems to bring the right piece of knowledge to the right person at the right time. As soon as documents are involved in this process of information supply, intelligent techniques for information supply from text sources have to be employed. To this end, we propose a profile-based approach. Profiles describe the generic information need of individual persons according to their tasks and interests. Attached to these information needs, declarative analysis knowledge exhibits the textual properties of information satisfying these profiles. Such patterns are used by intelligent information assistants and allow them a very efficient and goal-directed analysis. Whenever the current context of a user is available, it can be used as a dynamic extension of a profile. In this case, information assistants can act more specific, thus receiving a better result quality. Our approach currently distinguishes three information assistants: one for text categorization, one for information extraction, and one for process identification. To make profile construction as easy as possible, distinct acquisition mechanisms have been developed