Skip to main content

Addressing Long-Term Digital Preservation Through Computational Intelligence

  • Conference paper
  • First Online:
Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection (PAAMS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9086))

Abstract

The challenge in long term digital preservation (LTDP) of complex objects – consisting of text, video, images, music, 3D information, sensor data, etc. generated throughout all areas of our society – is real and growing at an exponential pace. An already old study by the International Data Corporation (IDC) found that in 2012 the information created and replicated broke the zettabyte barrier growing by a factor of 9 in just five years [2]. The LTDP of such information will become a pervasive as well as ubiquitous problem that will concern everyone who has digital information to be kept for long time, implying a shift in at least a couple of software and hardware generations.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. de la Rosa J.L., Olvera, J.A.: First Studies on Self-Preserving Digital Objects. Artificial Intelligence Research & Dev. In: Procs 15th Intl Conf. of the Catalan Assoc. for Artificial Intelligence, CCIA 2012, Alacant, Spain, vol. 248, pp. 213–222 (2012)

    Google Scholar 

  2. Gantz, J., Reisel, D.: The Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East (December 2012)

    Google Scholar 

  3. Olvera, J.A.: Digital Preservation: a New Approach from Computational Intelligence. In: Joint Conference on Digital Libraries 2013, JCDL Doctoral Consortium 2013, July 22-26, Indianapolis, Indiana, USA (2013)

    Google Scholar 

  4. Quisbert, H.: On Long-term Digital Information Preservation Systems – a Framework and Characteristics for Development. Ph D Thesis. Luleå University of Technology (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jose Antonio Olvera .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Olvera, J.A., de la Rosa, J.L. (2015). Addressing Long-Term Digital Preservation Through Computational Intelligence. In: Demazeau, Y., Decker, K., Bajo Pérez, J., de la Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection. PAAMS 2015. Lecture Notes in Computer Science(), vol 9086. Springer, Cham. https://doi.org/10.1007/978-3-319-18944-4_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-18944-4_33

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18943-7

  • Online ISBN: 978-3-319-18944-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics