Logo des Repositoriums
 

Web data extraction for business intelligence: the lixto approach

dc.contributor.authorBaumgartner, Robert
dc.contributor.authorFröhlich, Oliver
dc.contributor.authorGottlob, Georg
dc.contributor.authorHarz, Patrick
dc.contributor.authorHerzog, Marcus
dc.contributor.authorLehmann, Peter
dc.contributor.editorVossen, Gottfried
dc.contributor.editorLeymann, Frank
dc.contributor.editorLockemann, Peter
dc.contributor.editorStucky, Wolffried
dc.date.accessioned2019-10-11T08:35:18Z
dc.date.available2019-10-11T08:35:18Z
dc.date.issued2005
dc.description.abstractKnowledge about market developments and competitor activities on the market becomes more and more a critical success factor for enterprises. The World Wide Web provides public domain information which can be retrieved for example from Web sites or online shops. The extraction from semi-structured information sources is mostly done manually and is therefore very time consuming. This paper describes how public information can be extracted automatically from Web sites, transformed into structured data formats, and used for data analysis in Business Intelligence systems.en
dc.identifier.isbn3-88579-394-6
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/28294
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme in Business, Technologie und Web, 11. Fachtagung des GIFachbereichs “Datenbanken und Informationssysteme” (DBIS)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-65
dc.titleWeb data extraction for business intelligence: the lixto approachen
dc.typeText/Conference Paper
gi.citation.endPage65
gi.citation.publisherPlaceBonn
gi.citation.startPage48
gi.conference.date2.-4. März 2005
gi.conference.locationKarlsruhe
gi.conference.sessiontitleRegular Research Papers

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
GI-Proceedings.65-4.pdf
Größe:
1.16 MB
Format:
Adobe Portable Document Format