Extracting Taxonomies from Bipartite Graphs

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2015
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Günnemann, Stephan
Faloutsos, Christos
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WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web / Gangemi, Aldo et al. (ed.). - New York : ACM, 2015. - pp. 51-52. - ISBN 978-1-4503-3473-0
Abstract
Given a large bipartite graph that represents objects and their properties, how can we automatically extract semantic information that provides an overview of the data and -- at the same time -- enables us to drill down to specific parts for an in-depth analysis? In this work in-progress paper, we propose extracting a taxonomy that models the relation between the properties via an is-a hierarchy. The extracted taxonomy arranges the properties from general to specific providing different levels of abstraction.
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004 Computer Science
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24th International World Wide Web Conference, May 18, 2015 - May 22, 2015, Florenz
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Cite This
ISO 690KÖTTER, Tobias, Stephan GÜNNEMANN, Christos FALOUTSOS, Michael R. BERTHOLD, 2015. Extracting Taxonomies from Bipartite Graphs. 24th International World Wide Web Conference. Florenz, May 18, 2015 - May 22, 2015. In: GANGEMI, Aldo, ed. and others. WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web. New York:ACM, pp. 51-52. ISBN 978-1-4503-3473-0. Available under: doi: 10.1145/2740908.2742753
BibTex
@inproceedings{Kotter2015Extra-32943,
  year={2015},
  doi={10.1145/2740908.2742753},
  title={Extracting Taxonomies from Bipartite Graphs},
  isbn={978-1-4503-3473-0},
  publisher={ACM},
  address={New York},
  booktitle={WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web},
  pages={51--52},
  editor={Gangemi, Aldo},
  author={Kötter, Tobias and Günnemann, Stephan and Faloutsos, Christos and Berthold, Michael R.}
}
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