research-article

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

Authors:

Theodore Dalamagas,

Helen Parkinson,

François Bancilhon,

Giorgos Flouris,

Dimitris Sacharidis,

Dimitris Kotzinos,

Yannis Stavrakas,

Vassilis Christophides,

George Papastefanatos,

Kostas ThiveosAuthors Info & Claims

WOD '12: Proceedings of the First International Workshop on Open Data

Pages 31 - 39

https://doi.org/10.1145/2422604.2422610

Published: 25 May 2012 Publication 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.

[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.

[3]

C. Bizer, A. Jentzsch, R. Cyganiak:. 4th State of the Web of Data. In LDOW 2011.

[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.

Digital Library

[5]

A. Latif, A. Saeed, Patrick Hoefler. The Linked Data Value Chain: A Lightweight Model for Business Engineers. In ISEMANTICS 2009.

[6]

J. Umbrich, M. Hausenblas, A. Hogan, A. Polleres, S. Decker: Towards Dataset Dynamics: Change Frequency of Linked Open Data Sources. In LDOW 2010.

[7]

L. Zhou L Ding, T. Finin T. How is the Semantic Web evolving? A dynamic social network perspective Computers in Human Behavior (2010).

Digital 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.

Digital Library

[9]

P. Tsialiamanis, L. Sidirourgos, I. Fundulaki, V. Christophides, P. Boncz: Heuristic based Query Optimisation for SPARQL. In EDBT 2012.

Digital Library

[10]

J. Euzenat, P. Shvaiko: Ontology matching. Springer 2007: 1--333.

Digital 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).

[12]

T. Hey, S. Tansley, K. Tolle (editors). The Fourth Paradigm: Data-Intensive Scientific Discovery. Microsoft Research. 2009

[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.

Digital Library

[14]

Mc Kinsey Global Institute: Big data: The next frontier for innovation, competition, and productivity, 2011.

[15]

GRDI2020 Consortium. GRDI2020 Final Roadmap Report on Global Research Data Infrastructures: The Big Data Challenges. D4.1, March 2012.

Cited By

Diaz-Honrubia ARohde PNiazmand EMenasalvas EVidal M(2024)PALADINInformation Fusion10.1016/j.inffus.2024.102557112:COnline publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1016/j.inffus.2024.102557
Li CSugimoto S(2018)Provenance description of metadata application profiles for long-term maintenance of metadata schemasJournal of Documentation10.1108/JD-03-2017-004274:1(36-61)Online publication date: 8-Jan-2018
https://doi.org/10.1108/JD-03-2017-0042
Koho MIkkala EHeino EHyvönen E(2018)Maintaining a Linked Data Cloud and Data Service for Second World War HistoryDigital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection10.1007/978-3-030-01762-0_12(138-149)Online publication date: 16-Oct-2018
https://doi.org/10.1007/978-3-030-01762-0_12

Index Terms

Diachronic linked data: towards long-term preservation of structured interrelated information
1. Information systems
  1. Information storage systems
    1. Record storage systems
2. Software and its engineering
  1. Software notations and tools
    1. General programming languages
      1. Language features
        Data types and structures

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Published In

cover image ACM Other conferences

WOD '12: Proceedings of the First International Workshop on Open Data

May 2012

79 pages

ISBN:9781450314046

DOI:10.1145/2422604

Conference Chair:
Guillaume Raschia
University of Nantes
,
Program Chair:
Martin Theobald
Max Planck Institute

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Nantes Métropole: Nantes Métropole
Ŕegion Pays de la Loire: Ŕegion Pays de la Loire
Conseil Général de Loire Atlantique
Fing: Foundation internet novelle generation
LiberTIC: LiberTIC
Univ. of Nantes: University of Nantes
PolytechNantes: Polytech Nantes

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 May 2012

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Research-article

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WOD '12

Sponsor:

Nantes Métropole
Ŕegion Pays de la Loire
Fing
LiberTIC
Univ. of Nantes
PolytechNantes

WOD '12: International Workshop on Open Data

May 25, 2012

Nantes, France

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Overall Acceptance Rate 3 of 13 submissions, 23%

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Cited By

Diaz-Honrubia ARohde PNiazmand EMenasalvas EVidal M(2024)PALADINInformation Fusion10.1016/j.inffus.2024.102557112:COnline publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1016/j.inffus.2024.102557
Li CSugimoto S(2018)Provenance description of metadata application profiles for long-term maintenance of metadata schemasJournal of Documentation10.1108/JD-03-2017-004274:1(36-61)Online publication date: 8-Jan-2018
https://doi.org/10.1108/JD-03-2017-0042
Koho MIkkala EHeino EHyvönen E(2018)Maintaining a Linked Data Cloud and Data Service for Second World War HistoryDigital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection10.1007/978-3-030-01762-0_12(138-149)Online publication date: 16-Oct-2018
https://doi.org/10.1007/978-3-030-01762-0_12
Silvello G(2017)Learning to cite frameworkJournal of the Association for Information Science and Technology10.1002/asi.2377468:6(1505-1524)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1002/asi.23774

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