CFP for the 2nd Workshop on Managing the Evolution and Preservation of the Data Web, MEPDaW 2016@ESWC2016

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

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



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.


-⁠ 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.


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 to

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

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:

All accepted papers will be published in the CEUR workshop proceedings


- 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)


-⁠ 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




Received on Friday, 22 January 2016 15:01:06 UTC