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Diachronic linked data: towards long-term preservation of structured interrelated information

Online:25 May 2012Publication History

ABSTRACT

The Linked Data Paradigm is a promising technology for publishing, sharing, and connecting data on the Web, which provides new perspectives for data integration and interoperability. However, the proliferation of distributed, interconnected linked data sources on the Web poses significant new challenges for consistently managing the vast number of potentially large datasets and their interdependencies. In this article we focus on the key problem of preserving evolving structured interlinked data. We argue that a number of issues, which hinder applications and users, are related to the temporal aspect that is intrinsic in Linked Data. We present three use cases to motivate our approach, we discuss problems that occur, and propose a direction for a solution.

References

  1. Reference model for an open archival information system (OAIS). Technical Report CCSDS 650.0-B-1, Consultative Committee on Space Data Systems, 2003. ISO standard 14721: 2003, available at: http://nost.gsfc.nasa.gov/wwwclassic/documents/pdf/CCSDS-650.0-B-1.pdf.Google ScholarGoogle Scholar
  2. C. Bizer, T. Heath, T. Berners-Lee: Linked Data -- The Story So Far. Special. Issue on Linked Data, International Journal on Semantic Web and Information Systems (IJSWIS), 2009.Google ScholarGoogle Scholar
  3. C. Bizer, A. Jentzsch, R. Cyganiak:. 4th State of the Web of Data. In LDOW 2011.Google ScholarGoogle Scholar
  4. T. Heath, C. Bizer, 2011. Linked Data: Evolving the Web into a Global Data Space (1st edition). Synthesis Lectures on the Semantic Web: Theory and Technology, 1: 1, 1--136. Morgan & Claypool. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. A. Latif, A. Saeed, Patrick Hoefler. The Linked Data Value Chain: A Lightweight Model for Business Engineers. In ISEMANTICS 2009.Google ScholarGoogle Scholar
  6. J. Umbrich, M. Hausenblas, A. Hogan, A. Polleres, S. Decker: Towards Dataset Dynamics: Change Frequency of Linked Open Data Sources. In LDOW 2010.Google ScholarGoogle Scholar
  7. L. Zhou L Ding, T. Finin T. How is the Semantic Web evolving? A dynamic social network perspective Computers in Human Behavior (2010), doi: 10.1016/j.chb.2010.07.024 Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. A. Ntoulas, J. Cho, C. Olston. What's New on the Web? The Evolution of the Web from a Search Engine Perspective. In WWW 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. P. Tsialiamanis, L. Sidirourgos, I. Fundulaki, V. Christophides, P. Boncz: Heuristic based Query Optimisation for SPARQL. In EDBT 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. J. Euzenat, P. Shvaiko: Ontology matching. Springer 2007: 1--333. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. P. Buneman, G. Silvello: A Rule-Based Citation System for Structured and Evolving Datasets. In IEEE Data Eng. Bull. 33(3): 33--41 (2010).Google ScholarGoogle Scholar
  12. T. Hey, S. Tansley, K. Tolle (editors). The Fourth Paradigm: Data-Intensive Scientific Discovery. Microsoft Research. 2009Google ScholarGoogle Scholar
  13. S. Auer, L. Bühmann, J. Lehmann, M. Hausenblas, S. Tramp, B. van Nuffelen, P. Mendes, C. Dirschl, R. Isele, H. Williams, O. Erling: Managing the life-cycle of Linked Data with the LOD2 Stack. In Proceedings of International Semantic Web Conference (ISWC'12) 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Mc Kinsey Global Institute: Big data: The next frontier for innovation, competition, and productivity, 2011.Google ScholarGoogle Scholar
  15. GRDI2020 Consortium. GRDI2020 Final Roadmap Report on Global Research Data Infrastructures: The Big Data Challenges. D4.1, March 2012.Google ScholarGoogle Scholar

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  1. Diachronic linked data: towards long-term preservation of structured interrelated information

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