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What's all the data about?: creating structured profiles of linked data on the web

Published: 07 April 2014 Publication History

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References

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C. Bizer, T. Heath, and T. Berners-Lee. Linked data - the story so far. Int. J. Semantic Web Inf. Syst., 5(3):1--22, 2009.
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D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. Journal of Machine Learning Research, 3:993--1022, 2003.
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C. Buil-Aranda, A. Hogan, J. Umbrich, and P.-Y. Vandenbusshe. Sparql web-querying infrastructure: Ready for action? In Proceedings of the 12th International Semantic Web Conference, Sydney, Australia, 20
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B. Fetahu, S. Dietze, B. P. Nunes, D. Taibi, and M. A. Casanova. Generating structured profiles of linked data graphs. In International Semantic Web Conference (Posters & Demos}, pages 113--116, 2013.
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A. K. McCallum. Mallet: A machine learning for language toolkit. http://mallet.cs.umass.edu, 2002.
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B. P. Nunes, S. Dietze, M. A. Casanova, R. Kawase, B. Fetahu, and W. Nejdl. Combining a co-occurrence-based and a semantic measure for entity linking. In Proceedings of the 10th Extended Semantic Web Conference (ESWC), pages 548--562, 2013.
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S. White and P. Smyth. Algorithms for estimating relative importance in networks. In Proceedings of the SIGKDD, 9th International Conference on Knowledge Discovery and Data Mining, pages 266--275, 2003.

Cited By

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  • (2016)Linked Data ProfilingProceedings of the 25th International Conference Companion on World Wide Web10.1145/2872518.2888603(287-291)Online publication date: 11-Apr-2016
  • (2015)A Logic-Based Approach to Named-Entity Disambiguation in the Web of DataAI*IA 2015 Advances in Artificial Intelligence10.1007/978-3-319-24309-2_28(367-380)Online publication date: 17-Oct-2015

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  1. What's all the data about?: creating structured profiles of linked data on the web

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      cover image ACM Other conferences
      WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web
      April 2014
      1396 pages
      ISBN:9781450327459
      DOI:10.1145/2567948
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      • IW3C2: International World Wide Web Conference Committee

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 07 April 2014

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      Author Tags

      1. linked data
      2. metadata
      3. profiling
      4. vocabulary of links

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      WWW '14
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      • IW3C2

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      Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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      Cited By

      View all
      • (2016)Linked Data ProfilingProceedings of the 25th International Conference Companion on World Wide Web10.1145/2872518.2888603(287-291)Online publication date: 11-Apr-2016
      • (2015)A Logic-Based Approach to Named-Entity Disambiguation in the Web of DataAI*IA 2015 Advances in Artificial Intelligence10.1007/978-3-319-24309-2_28(367-380)Online publication date: 17-Oct-2015

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