4.18.24 Movement Legacies, Reflection, and Review.pptx
Jose Antonio presentation at WSDL
1. Digital Preservation: a New
Approach from Computational
Intelligence
Jose Antonio Olvera
University of Girona
Department of Electrical Engineering, Electronics and
Automation
Campus Montilivi 17071 - GIRONA
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3. Short Background
• The name of the group I come from is
• We started to work on Digital Preservation from
(PReservation Organizations using Tools in AGent Environments, 2007-2010)
• Since then, we have been involved in more DP projects
– PRESERVA (2010-2013)
• Comparative approaches to the implementation of intelligent agents
in digital preservation from a perspective of the automation of social
networks
– MIDPOINT (2012-2015)
• New approaches to digital preservation with better cost
management to ensure sustainability
– DURAFILE (2013-2015)
• Innovative Digital Preservation using Social Search in Agent
Environments
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4. Short Background
The actual perspective Our perspective
Institutions
Persons and companies
Top-down
resources capacity knowledge
resources capacity knowledge
Digital Objects
Institutions
Persons and companies
Bottom-up
resources capacity knowledge
resources capacity knowledge
Digital Objects
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5. Why I decided to come here?
• Buckets (Michael L. Nelson)
– The very first evidence of object-centric
paradigm. Buckets were designed to imbue
information objects with certain responsibilities,
such as the display, dissemination, protection,
and maintenance of their contents
• At JCDL 2013 we met and we though it would
be the best place where I could do a profitable
stay
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7. Statement of thesis
• My thesis will study what self-preservation behaviors
need the self-preserving digital objects (SPDO), based
in computation intelligence (CI), and related methods
of cost management under their own budget,
powered by a social network as an environment that
enables their behavior under the policy that
“preservation is to share”.
• In this concept, digital objects become active actors in
their own LTDP, which has a DP budget devoted to
funding the replication of the objects and other
operations such as format migration or moving through
a social network of users; in all, a controlled
environment where they will “live”.
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9. Research questions
• (A1) Behavior model
– Evolutionary Computation techniques that back the
preservation of SPDOs
– Swarm Intelligence techniques that back the preservation of
SPDOs
• (A2) SPDO architecture from the agents
– Social skills that determine how they interact with each other
– How they must manage their budget (devoted to funding the
replication of files and other operations such as format
migration or copying themselves through the social network of
users)
– How they will manage their copies, that are distributed in the
social network
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10. Research questions
• (A3) Social environment
– How the social network must technically be
– What are the topologies of social networks that
back better the digital objects and how to
promote these topologies
– The definition of compensation mechanisms for
users to promote user engagement
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12. Research goals
• Work in the three confluent areas explained
before (A1, A2 and A3) separately. The work is
being done on a simulated environment where
results will be obtained, analyzed and made
partial publication of these results in
conferences and journals
• A state of the art from the articles published on
the topic
• Finally a prototype will be implemented in a real
environment based on the research that has
been done
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13. Dissertation status
de la Rosa J. L. and Olvera J.A. First
Studies on Self-Preserving Digital
Objects. CCIA 2012
13
Analysis of Nature-Inspired
Algorithms for Long-Term
Digital Preservation. JCDL
Combinatorial and Multi-Unit Auctions
Applied to Digital Preservation of Self-
Preserving Objects. CCIA 2014
State of Art
Topologies of social networks that
back self-preserving digital objects
in Digital Preservation IJCAI 2013
Time Machine Design
USW??
14. Possible collaboration opportunities
• Self-preservation behaviors based on
Computational Intelligence (CI), focused on Web
archiving
– save all associated resources (images, style sheets,
etc.) to preserve look
• Improve TiM thinking on real live limitations
• How should be implemented in real life / show
this behaviors to final users in order to engage
them Gamification
• USW??
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15. Digital Preservation: a New
Approach from Computational
Intelligence
Jose Antonio Olvera
University of Girona
Departament de Enginyeria Elèctrica, Electrònica i
Automàtica
Campus Montilivi 17071 - GIRONA
15
Notas del editor
TODO:POSAR ANYS
ARLAB. Agents research lab, we try to (…) to solve problems of real life
So I started without being familiar with Digital preservation,
We started to work on digital preservation from PROTAGE project (FP7)
don’t know how, my supervisor meet up with the digital preservation problem, a real and future real problem
http://www.ra.ee/protage
http://easy4.udg.edu/midpoint/
http://durafile.eu
Solutions today are not scalable enough, deal not properly with costs and no guarantee of success in the future.
The prevailing paradigm is centralized, top-down, where institutions are the main players. I propose studying a change of paradigm, mainly bottom-up, where the digital objects self-preserve.
From Buckets we started to see dr. nelson articles, until we met him in JCDL2013
I have to add a pharentesis here, because my english it was even much worst and I didn’t meet you there.
Maybe some of you don’t remember me bcs my english was very bad.
This research lays the foundations for a new object-centric digital preservation paradigm based in computational intelligence, where the digital objects manage their own preservation and budget, powered by a social network as an environment that enables their behavior under the policy that “preservation is to share”. The mission of these objects is their long-term preservation, which entails being accessible and reproducible by users at any time in the future regardless of frequent technological changes due to software and hardware vendors’ upgrades.
A1.Try different collective behaviors based on CI
A2.How SPDO agents architecture should be. It is an individualistic vision of each agent
A3.
What are the social skills..
After this initial state of the art, I will work in the three confluent areas explained above (A1, A2 and A3) separately, that I have some preliminary results in A1 with [5]. The work will be done on a simulated environment where results are obtained, analyzed and made partial publication of these results in high-level journals
Self-preservation behaviors based on Computational Intelligence (CI), (with or without TiM simulations)