Towards Ontology-based Information Extraction and Annotation of Paper Documents for Personalized Knowledge Acquisition

Benjamin Adrian, Heiko Maus, Malte Kiesel, Andreas Dengel

In: Knut Hinkelmann , Holger Wache (Hrsg.). WM2009: 5th Conference on Professional Knowledge Management. Conference on Professional Knowledge Management (WM-2009) March 25-27 Solothurn Switzerland Lecture Notes in Informatics (LNI) P-145 ISBN 978-3-88579-239-0 Gesellschaft für Informatik Bonn 3/2009.


Despite the advent of electronic personal information management (PIM) tools, knowledge workers are still heavily using paper-based information sources. But up to now, even in sophisticated tools for PIM such as the Semantic Desktop, the knowledge workers's paper world is still neglected. Thus, electronic archiving of a web page for later reference is much easier than taking care of an interesting article in a magazine whose copy might set dust on the user's shelf and will long be for- gotten when it would be helpful for a specific task. This paper presents how to use document analysis, ontology-based information extraction, and annotation techniques for personal knowledge acquisition in order to bridge the gap between the user's paper world and his personal knowledge space in the Semantic Desktop. A recent prototype shows the feasibility of the approach.


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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence