MEDUSA-Framework for Secure Peer-to-Peer Sharing of Topic-Map based Knowledge

B. Brügge, P. Renner, M. Strassberger, and M. Adamski (Germany)


Technologies and Tools for Collaboration, Knowledge sharing, Topic Maps, Privacy, Collaborative Decision making, Peer-to-Peer


In this paper we introduce a framework for the secure shar ing of digital information in a natural and flexible way, fol lowing well established work processes. Topic maps are used as a generic data model to organize and exchange do main knowledge. The framework packages information in a way so that it can be delivered securely, for communi cation and data exchange it implements a peer-to-peer ap proach. Scenarios in the area of public health care were an alyzed to evaluate the benefit of the framework. A proto type application based on the proposed framework was de veloped that handles semantically enriched and restricted medical information of patients and manages fine grained access for physicians.

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