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Towards ontology-based information extraction and annotation of paper documents for personalized knowledge acquisition

dc.contributor.authorAdrian, Benjamin
dc.contributor.authorMaus, Heiko
dc.contributor.authorKiesel, Malte
dc.contributor.authorDengel, Andreas
dc.contributor.editorHinkelmann, Knut
dc.contributor.editorWache, Holger
dc.date.accessioned2019-06-03T12:35:33Z
dc.date.available2019-06-03T12:35:33Z
dc.date.issued2009
dc.description.abstractDespite 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' 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 forgotten 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.en
dc.identifier.isbn978-3-88579-239-0
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/23281
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofWM2009: 5th conference on professional knowledge management
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-145
dc.titleTowards ontology-based information extraction and annotation of paper documents for personalized knowledge acquisitionen
dc.typeText/Conference Paper
gi.citation.endPage279
gi.citation.publisherPlaceBonn
gi.citation.startPage270
gi.conference.dateMarch 25-27, 2009
gi.conference.locationSolothurn, Switzerland
gi.conference.sessiontitleRegular Research Papers

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