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LinkedDataLens: linked data as a network of networks

Published: 26 June 2011 Publication History

Abstract

With billions of assertions and counting, the Web of Data represents the largest multi-contributor interlinked knowledge base that ever existed. We present a novel framework for analyzing and using the Web of Data based on extracting and analyzing thematic subsets of it. We view the Web of Data as a "network of networks" from which to extract meaningful subsets that can be converted them into self-contained networks to be further analyzed and reused. These extracted networks can then be analyzed through network analysis and discovery algorithms, and the results of these analyses can be published back on the Web of Data. We describe LinkedDataLens, an implementation of this framework that uses the Wings workflow system to represent multi-step network extraction and analysis processes.

References

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Batagelj, V. and Mrvar, A. "Pajek: Analysis and visualization of large networks." In M. Junger and P. Mutzel (Eds), Graph Drawing Software. Springer, 2003.
[2]
Bizer, C.; Heath, T.; and Berners-Lee, T. "Linked Data - The Story So Far." International Journal on Semantic Web and Information Systems, 5(3), 2009.
[3]
Gil, Y.; Ratnakar, V.; Kim, J.; Gonzalez-Calero, P. A.; Groth, P.; Moody, J.; and Deelman, E. "Wings: Intelligent Workflow-Based Design of Computational Experiments." IEEE Intelligent Systems, 26(1), 2011.
[4]
Gil, Y.; Gonzalez-Calero, P. A.; Kim, J.; Moody, J.; and Ratnakar, V. "A Semantic Framework for Automatic Generation of Computational Workflows Using Distributed Data and Component Catalogs." To appear in the Journal of Experimental and Theoretical Artificial Intelligence, 2011.
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Guéret, C.; Groth, P.; Harmelen, F.V.; and Schlobach, S. "Finding the Achilles Heel of the Web of Data: using network analysis for link-recommendation," 9th International Semantic Web Conference (ISWC), 2010.

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Published In

cover image ACM Conferences
K-CAP '11: Proceedings of the sixth international conference on Knowledge capture
June 2011
212 pages
ISBN:9781450303965
DOI:10.1145/1999676

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 June 2011

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Author Tags

  1. knowledge capture
  2. linked open data
  3. network analysis
  4. web of data

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  • Demonstration

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K-CAP '2011
Sponsor:
K-CAP '2011: Knowledge Capture Conference
June 26 - 29, 2011
Alberta, Banff, Canada

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Overall Acceptance Rate 55 of 198 submissions, 28%

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