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Lifelong Knowledge Acquisition with Topic Monitoring

dc.contributor.authorSpiliopoulou, Myra
dc.contributor.authorSchult, Rene
dc.contributor.editorHegering, Heinz-Gerd
dc.contributor.editorLehmann, Axel
dc.contributor.editorOhlbach, Hans Jürgen
dc.contributor.editorScheideler, Christian
dc.date.accessioned2019-04-03T13:00:01Z
dc.date.available2019-04-03T13:00:01Z
dc.date.issued2008
dc.description.abstractIndustry workers and their R&D colleagues rely on knowledge stored in patents, reports, workplans, guidelines and norms. With time, the subjects considered but also the terminology used in such documents change. This impeds the categorisation of old documents and reduces the effectiveness of keyword-based search. We present a document stream mining solution that organises document archives into topics and monitors the changes of the topics and their characteristic keywords over time.en
dc.identifier.isbn978-3-88579-227-7
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/21394
dc.language.isoen
dc.publisherGesellschaft für Informatik e. V.
dc.relation.ispartofINFORMATIK 2008. Beherrschbare Systeme – dank Informatik. Band 1
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-133
dc.titleLifelong Knowledge Acquisition with Topic Monitoringen
dc.typeText/Conference Paper
gi.citation.endPage385
gi.citation.publisherPlaceBonn
gi.citation.startPage378
gi.conference.date8. -13. September 2008
gi.conference.locationMünchen
gi.conference.sessiontitleRegular Research Papers

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