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SENSE - intelligent storage and exploration of large document sets

dc.contributor.authorWehner, Peter
dc.contributor.editorHorbach, Matthias
dc.date.accessioned2019-03-07T09:31:50Z
dc.date.available2019-03-07T09:31:50Z
dc.date.issued2013
dc.description.abstractThe SENSE project develops a semantically based system architecture to especially address the scalability issue of large multimedia document collections over time. Focusing on visualization and storage, metadata both from the application and the technical domain will be regarded semantic knowledge. All semantics will be run in a central repository, mediating a continuous flow of knowledge in and between usually separate system layers of typical system architectures. Some preliminary results are available for discussion as well as a prototype application for demonstration purposes.en
dc.identifier.isbn978-3-88579-614-5
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/20666
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2013 – Informatik angepasst an Mensch, Organisation und Umwelt
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-220
dc.titleSENSE - intelligent storage and exploration of large document setsen
dc.typeText/Conference Paper
gi.citation.endPage145
gi.citation.publisherPlaceBonn
gi.citation.startPage143
gi.conference.date16.-20. September 2013
gi.conference.locationKoblenz
gi.conference.sessiontitleRegular Research Papers

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