A SIMPLE METHOD FOR MINING AND VISUALIZING COMPANY RELATIONS BASED ON WEB SOURCES

Maximilien Kintz, Jan Finzen

Abstract

One of the important aspects of market and competitive intelligence is the observation and analysis of a partner, customer or competitor’s relations with other companies. Using Web-based sources such as press releases, corporate Web sites or news articles and text mining technologies such as Named Entity Recognition, it is possible to automatically extract company relations out of Web content and to build network graphs showing how companies interact. Visualization software that can be integrated in a Web-based application offers means to explore, search, and analyse these networks and their meaning for a company. In this paper we demonstrate how to build a powerful company relation mining application with very little effort by effectively connecting open source toolkits.

References

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Paper Citation


in Harvard Style

Kintz M. and Finzen J. (2011). A SIMPLE METHOD FOR MINING AND VISUALIZING COMPANY RELATIONS BASED ON WEB SOURCES . In Proceedings of the 7th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8425-51-5, pages 597-602. DOI: 10.5220/0003300705970602


in Bibtex Style

@conference{webist11,
author={Maximilien Kintz and Jan Finzen},
title={A SIMPLE METHOD FOR MINING AND VISUALIZING COMPANY RELATIONS BASED ON WEB SOURCES},
booktitle={Proceedings of the 7th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2011},
pages={597-602},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003300705970602},
isbn={978-989-8425-51-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - A SIMPLE METHOD FOR MINING AND VISUALIZING COMPANY RELATIONS BASED ON WEB SOURCES
SN - 978-989-8425-51-5
AU - Kintz M.
AU - Finzen J.
PY - 2011
SP - 597
EP - 602
DO - 10.5220/0003300705970602