Web data extraction for business intelligence: the lixto approach

Abstract
Knowledge 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.
  • Citation
  • BibTeX
Baumgartner, R., Fröhlich, O., Gottlob, G., Harz, P., Herzog, M. & Lehmann, P., (2005). Web data extraction for business intelligence: the lixto approach. In: Vossen, G., Leymann, F., Lockemann, P. & Stucky, W. (Hrsg.), Datenbanksysteme in Business, Technologie und Web, 11. Fachtagung des GIFachbereichs “Datenbanken und Informationssysteme” (DBIS). Bonn: Gesellschaft für Informatik e.V.. (S. 48-65).
@inproceedings{mci/Baumgartner2005,
author = {Baumgartner, Robert AND Fröhlich, Oliver AND Gottlob, Georg AND Harz, Patrick AND Herzog, Marcus AND Lehmann, Peter},
title = {Web data extraction for business intelligence: the lixto approach},
booktitle = {Datenbanksysteme in Business, Technologie und Web, 11. Fachtagung des GIFachbereichs “Datenbanken und Informationssysteme” (DBIS)},
year = {2005},
editor = {Vossen, Gottfried AND Leymann, Frank AND Lockemann, Peter AND Stucky, Wolffried} ,
pages = { 48-65 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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ISBN: 3-88579-394-6
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2005
Language: en (en)
Content Type: Text/Conference Paper
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