Although mobile knowledge management (mKM) is being perceived as an emerging R&D field, its concepts and approaches are not well-settled, as opposed to the general field of Knowledge Management (KM). In this work, we try to establish a definition for mKM. Taking into account building blocks of KM in enterprises and the abstract use cases of mKM systems we introduce an reference architecture for mKM systems as a basis for verifying and comparing concepts and system architectures. Finally we address the potential of mKM to be suitable as a prototype model for mobile, situation-aware information processing in the field of Ambient Intelligence Environments.
@InProceedings{balfanz_et_al:DagSemProc.05181.3, author = {Balfanz, Dirk and Grimm, Matthias and Tazari, Mohammad-Reza}, title = {{A Reference Architecture for Mobile Knowledge Management}}, booktitle = {Mobile Computing and Ambient Intelligence: The Challenge of Multimedia}, pages = {1--9}, series = {Dagstuhl Seminar Proceedings (DagSemProc)}, ISSN = {1862-4405}, year = {2005}, volume = {5181}, editor = {Nigel Davies and Thomas Kirste and Heidrun Schumann}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05181.3}, URN = {urn:nbn:de:0030-drops-3748}, doi = {10.4230/DagSemProc.05181.3}, annote = {Keywords: Knowledge Management, Mobile Computing, Context-Awareness, Ambient Intelligence} }
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