[AISWorld] CFP for the 2nd Workshop on Managing the Evolution and Preservation of the Data Web, MEPDaW 2016 at ESWC2016

[jfernand]

**** We apologize if you receive multiple copies of this CFP ****

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CALL FOR PAPERS: 2nd Workshop on Managing the Evolution and Preservation 
of the Data Web - MEPDaW 2016

Co-⁠located with  13th ESWC 2016,  Heraklion, Crete, Greece

Submission: 4th March
Workshop: 30th May

Web: http://eis.iai.uni-bonn.de/Event/mepdaw2016.html
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== MOTIVATION ==

There is a vast and rapidly increasing quantity of scientific, 
corporate, government and crowd-sourced data published on the emerging 
Data Web. Open Data are expected to play a catalyst role in the way 
structured information is exploited in the large scale. This offers a 
great potential for building innovative products and services that 
create new value from already collected data. It is expected to foster 
active citizenship (e.g., around the topics of journalism, greenhouse 
gas emissions, food supply-chains, smart mobility, etc.) and world-wide 
research according to the “fourth paradigm of science”. The most 
noteworthy advantage of the Data Web is that, rather than documents, 
facts are recorded, which become the basis for discovering new knowledge 
that is not contained in any individual source, and solving problems 
that were not originally anticipated. In particular, Open Data published 
according to the Linked Data Paradigm are essentially transforming the 
Web into a vibrant information ecosystem.

Published datasets are openly available on the Web. A traditional view 
of digitally preserving them by “pickling them and locking them away” 
for future use, like groceries, would conflict with their evolution. 
There are a number of approaches and frameworks, such as the LOD2 stack, 
that manage a full life-cycle of the Data Web. More specifically, these 
techniques are expected to tackle major issues such as the 
synchronisation problem (how can we monitor changes), the curation 
problem (how can data imperfections be repaired), the appraisal problem 
(how can we assess the quality of a dataset), the citation problem (how 
can we cite a particular version of a linked dataset), the archiving 
problem (how can we retrieve the most recent or a particular version of 
a dataset), and the sustainability problem (how can we spread 
preservation ensuring long-term access).

Preserving linked open datasets poses a number of challenges, mainly 
related to the nature of the LOD principles and the RDF data model. In 
LOD, datasets representing real-world entities are structured; thus, 
when managing and representing facts we need to take into consideration 
possible constraints that may hold. Since resources might be 
interlinked, effective citation measures are required to be in place to 
enable, for example, the ranking of datasets according to their measured 
quality. Another challenge is to determine the consequences that changes 
to one LOD dataset may have to other datasets linked to it. The 
distributed nature of LOD datasets furthermore makes archiving a 
headache.


== IMPORTANT DATES ==

-⁠ Submission: Friday 4th March
-⁠ Notification: Friday 1st April
-⁠ Final version: Friday 15th April
-⁠ Workshop: 30th May


== TOPICS ==

-⁠ Change Discovery

  * Change detection and computation in data and/⁠or vocabularies
  * Change traceability
  * Change notifications (e.g., PubSubHubPub, DSNotify, SPARQL Push)
  * Visualisation of evolution patterns for datasets and vocabularies
  * Prediction of changes

  -⁠ Formal models and theory

  * Formal representation of changes and evolution
  * Change/⁠Dynamicity characteristics tailored to graph data
  * Query language for archives
  * Freshness guarantee for query results
  * Freshness guarantee in databases

-⁠ Data Archiving and preservation

* Scalable versioning and archiving systems/⁠frameworks
* Query processing/⁠engines for archives
* Efficient representation of archives (compression)
* Benchmarking archives and versioning strategies

Ideally the proposed solutions should be applicable at web scale.


== SUBMISSION GUIDELINES ==

Papers should be formatted according to the Springer LNCS format. For 
submissions that are not in the LNCS PDF format, 400 words count as one 
page. All papers should be submitted 
tohttps://easychair.org/conferences/?conf=mepdaw2016.

We envision four types of submissions in order to cover the entire 
spectrum from mature research papers to novel ideas/datasets and 
industry technical talks:

A)  Research Papers (max 15 pages), presenting novel scientific research 
addressing the topics of the workshop.

B) Position Papers and System and Dataset descriptions (max 5 pages), 
encouraging papers describing significant work in progress, late 
breaking results or ideas of the domain, as well as functional systems 
or datasets relevant to the community.

C) Industry & Use Case Presentations (max 5 pages), in which industry 
experts can present and discuss practical solutions, use case 
prototypes, best practices, etc., in any stage of implementation.

D) Open RDF archiving challenge (max 5 pages), is intended to encourage 
developers, data publishers, and technology/tool creators to apply 
Semantic Web techniques to create, integrate, analyze or use an archive 
of linked open datasets. Thus, we expect developments showcasing 
developments demonstrating one (or all) of:
    -⁠ useful functionality over RDF archives
    -⁠ a potential commercial application or RDF archives
    -⁠ tools to support/⁠manage RDF archives at Web scale
    (*) A list of recommended datasets for the challenge is available at 
the workshop homepage: 
http://eis.iai.uni-bonn.de/Event/mepdaw2016.html#challenge

All accepted papers will be published in the CEUR workshop proceedings 
series.


== ORGANIZING COMMITTEE  ==

- Jeremy Debattista (Enterprise Information Systems, University of Bonn, 
Germany / Organized Knowledge, Fraunhofer IAIS, Germany)
-⁠ Jürgen Umbrich (Vienna University of Economics and Business)
-⁠ Javier D. Fernández (Vienna University of Economics and Business)


== PROGRAM COMMITTEE  ==

-⁠ Mathieu d’Aquin, The Open University, United Kingdom
-⁠ Judie Attard, University of Bonn/⁠Fraunhofer IAIS, Germany
-⁠ Wouter Beek, VU University Amsterdam, Netherlands
-⁠ Ioannis Chrysakis, FORTH-⁠ICS, Greece
-⁠ Keith Cortis, University of Passau, Germany
-⁠ Giorgos Flouris, FORTH-⁠ICS, Greece
- Magnus Knuth, Hasso Plattner Institute – University of Potsdam, 
Germany
-⁠ Marios Meimaris, ATHENA R.C., Greece
-⁠ Fabrizio Orlandi, University of Bonn/⁠Fraunhofer IAIS, Germany
-⁠ Yannis Roussakis,  ATHENA R.C., Greece
-⁠ Anisa Rula, University of Milano-⁠Bicocca, Italy
-⁠ Yannis Stavrakas, ATHENA R.C., Greece
-⁠ Fouad Zablith, American University of Beirut, Lebanon
-⁠ Amrapali J. Zaveri, Dumontier Lab -⁠ Stanford University, USA


== CONTACT INFORMATION  ==

Email:  mepdaw2016 at googlegroups.com

Homepage: http://eis.iai.uni-bonn.de/Event/mepdaw2016.html
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