Processing online news streams for large-scale semantic analysis

dc.contributor.authorKrstajic, Milos
dc.contributor.authorMansmann, Florian
dc.contributor.authorStoffel, Andreas
dc.contributor.authorAtkinson, Martindeu
dc.contributor.authorKeim, Daniel A.
dc.date.accessioned2011-09-23T10:27:22Zdeu
dc.date.available2011-09-23T10:27:22Zdeu
dc.date.issued2010-03
dc.description.abstractWhile Internet has enabled us to access a vast amount of online news articles originating from thousands of different sources, the human capability to read all these articles has stayed rather constant. Usually, the publishing industry takes over the role of filtering this enormous amount of information and presenting it in an appropriate way to the group of their subscribers. In this paper, the semantic analysis of such news streams is discussed by introducing a system that streams online news collected by the Europe Media Monitor to our proposed semantic news analysis system. Thereby, we describe in detail the emerging challenges and the corresponding engineering solutions to process incoming articles close to real-time. To demonstrate the use of our system, the case studies show a) temporal analysis of entities, such as institutions or persons, and b) their co-occurence in news articles.eng
dc.description.versionpublished
dc.identifier.citationFirst publ. in: 2010 IEEE 26th International Conference on Data Engineering workshops (ICDEW 2010) : Long Beach, California, USA, 1 - 6 March 2010 / [IEEE; IEEE Computer Society] ). - Piscataway : IEEE, 2010. - pp. 215-220deu
dc.identifier.doi10.1109/ICDEW.2010.5452710deu
dc.identifier.ppn351681833deu
dc.identifier.urihttp://kops.uni-konstanz.de/handle/123456789/12731
dc.language.isoengdeu
dc.legacy.dateIssued2011-09-23deu
dc.rightsterms-of-usedeu
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/deu
dc.subject.ddc004deu
dc.titleProcessing online news streams for large-scale semantic analysiseng
dc.typeINPROCEEDINGSdeu
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kops.citation.bibtex
@inproceedings{Krstajic2010-03Proce-12731,
  year={2010},
  doi={10.1109/ICDEW.2010.5452710},
  title={Processing online news streams for large-scale semantic analysis},
  isbn={978-1-4244-6522-4},
  publisher={IEEE},
  booktitle={2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010)},
  pages={215--220},
  author={Krstajic, Milos and Mansmann, Florian and Stoffel, Andreas and Atkinson, Martin and Keim, Daniel A.}
}
kops.citation.iso690KRSTAJIC, Milos, Florian MANSMANN, Andreas STOFFEL, Martin ATKINSON, Daniel A. KEIM, 2010. Processing online news streams for large-scale semantic analysis. 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010). Long Beach, CA, USA, 1. März 2010 - 6. März 2010. In: 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010). IEEE, 2010, pp. 215-220. ISBN 978-1-4244-6522-4. Available under: doi: 10.1109/ICDEW.2010.5452710deu
kops.citation.iso690KRSTAJIC, Milos, Florian MANSMANN, Andreas STOFFEL, Martin ATKINSON, Daniel A. KEIM, 2010. Processing online news streams for large-scale semantic analysis. 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010). Long Beach, CA, USA, Mar 1, 2010 - Mar 6, 2010. In: 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010). IEEE, 2010, pp. 215-220. ISBN 978-1-4244-6522-4. Available under: doi: 10.1109/ICDEW.2010.5452710eng
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kops.conferencefield2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010), 1. März 2010 - 6. März 2010, Long Beach, CA, USAdeu
kops.date.conferenceEnd2010-03-06
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kops.sourcefield.plain2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010). IEEE, 2010, pp. 215-220. ISBN 978-1-4244-6522-4. Available under: doi: 10.1109/ICDEW.2010.5452710deu
kops.sourcefield.plain2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010). IEEE, 2010, pp. 215-220. ISBN 978-1-4244-6522-4. Available under: doi: 10.1109/ICDEW.2010.5452710eng
kops.submitter.emailmichael.ketzer@uni-konstanz.dedeu
kops.title.conference2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010)
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