Call for Papers: DATAWEB session on Open Data

Call for Papers - Special Session on the Web of Data

Production and deployment of Open,
Linked and Big Data

To be held in conjunction with the 17th
Panhellenic Conference on Informatics (PCI 2013), September 19-21, 2013,
Thessaloniki, Greece,  

Proceedings to be published by ACM.


, University of Central Greece, Greece

, University of the Aegean, Greece

, National Technical University of Athens, Greece

, National Technical University of Athens, Greece

Special Session description:

The evolution of
technologies now effectively supports the creation and existence of the Web of
Data. However, the production and mass consumption of data have been a matter
of debate over methodologies that should be employed in the technological and
business domain.
Data over the Web can be seen under
three major perspectives. One that deals with their “openness”, one that
addresses their interconnection and one that discusses new ways of managing
their performance.

This special session aims
to stimulate a multi-origin discussion about data production and deployment
within the Web corpus. It is focused on new models, languages and applications
that exploit the Web of data in order to act as a global repository of
interlinked resources.

We seek original articles
balanced between theoretical and practical approaches in research aspects
and/or applications that utilize either Open, Linked and Big Data. We further
encourage the submission of contributions that discuss and address exploitation
issues of data in different disciplines. Submitted papers may deal with
methods, models, case studies, practical experiences and technologies, but also
with work in progress solutions. The thematic categories are divided in three parts:

1. Open Data

Definition@wikipedia: “Open data
is the idea that certain data should be freely available to everyone to use and
republish as they wish, without restrictions from copyright, patents or other
mechanisms of control. The goals of the open data movement are similar to those
of other "Open" movements such as open source, open content, and open

Topics of interest cover the following
areas (but are not limited to):

Business models,
marketplaces and crowdsourcing platforms for Open Data

Policies, strategies for
the development of data ecosystems

challenges and opportunities

Privacy and provenance

Reliability and
trustworthiness of Open Data

Case studies for
domain/sector-specific open data strategies (smart cities, environmental and
geospatial research, social media)

Methodologies for open
data production, cleansing and utilization

Heterogeneity, quality assurance,
vocabulary repair and maintenance

Benchmarks and metrics
in Open Data usage

Open Data usability,
user interaction and case studies with lessons learned

2. Linked Data

From the moment they were
officially introduced in 2008, Linked Open Data (LOD) and their applications
are flourishing. The Open Data movement, along with the maturity of Web 3.0
technologies has led various Organizations to publish their data, making them
accessible worldwide. One of the fundamental issues that follows the initial
success of these LOD initiatives is a way to standardize the effort according
to effective functional and technical specifications.

Topics of interest cover the following
areas (but are not limited to):

     Methodologies for Linked
Data production and deployment

     Assessing trustworthiness
in Linked Data

     Linked Data publication
and visualization

     AI technologies for Linked

     Engineering Linked Data stems

     Searching and ranking
methodologies and algorithms

     Linked Data real world
applications and uses (e-Government, health, energy, finance)

     Rule interchange formats


     Query languages

     Data cleansing techniques

     Social media interactivity

     Adaptive Linked Data

     Services development and

     Provenance and right

     Dataset description,
discovery and consolidation

     Architectural paradigms

     Mobile Linked Data

     Business models

Big Data

In this thematic category we aim to investigate how the
well-defined concepts of data utilization can be applied in order to develop
new techniques and methods for the sustainable and socially balanced
exploitation of huge data pools.

Topics of interest cover the following
areas (but are not limited to):

Scalable, distributed
and parallel algorithms for solving Big Data

Harvesting Linked Data
from large heterogeneous sources

Connecting massive
unstructured data with well-defined linked formats

Semantic models and
environments to support Big Data

Data management for
mobile and pervasive computing

Data Management in large
social graphs

Crowdsourcing as a
solution to Big Data handling

Big Data analytics in
government and society (public sector, social security, etc.)

Visualization and
presentation of Big Data

Security, privacy issues
derived from Big Data handling

Complex applications in:

Science, scientific data

Large scale
recommendation systems (e.g. medicine, biology, finance, business, etc.)

Communications and
social media applications

Real-life problems
(urban, transportation, weather, energy consumption, etc.)

Program committee: (to be extended)

Jose Maria Alvarez Rodriguez, Web
Semantics Oviedo – WESO, Spain

Christos-Nikolaos, Anagnostopoulos,
University of the Aegean, Greece

Lefteris Angelis, Aristotle
University of Thessaloniki, Greece

Phil Archer, W3C

Maria Bielikova, Slovak University of
Technology in Bratislava, Slovakia

Alvaro Graves, Rensselaer Polytechnic Institute, US

Harry Halpin, W3C

Marijn Janssen, Delft University of
Technology, the Netherlands

Keith Jeffery, STFC, UK

Vangelis Karkaletsis, NCSR
Demokritos, Greece

Theodoros Karounos, Greek Free / Open
Source Software Society (GFOSS), Greece

Nikolaos Loutas, PwC

Ioanna, Lykourentzou, INRIA – Nancy,

Phivos Mylonas, Ionian University,

Petros Stefaneas, National Technical
University of Athens, Greece

Nicolaos Tsapatsoulis, Cyprus
University of Technology, Cyprus

Prodromos Tsiavos, London School of
Economics, UK

Athina Vakali, Aristotle University
of Thessaloniki, Greece

Manolis Wallace, University of the
Peloponnese, Greece

Submission Guidelines - Proceedings

The submitted papers will
be evaluated by the members of the Special Session Technical Program Committee
(see below). The paper submission, as well as the publication procedures after
acceptance, follow the PCI 2013 Paper Submission and Proceedings Guidelines as
described in the official web page of the conference -->

Important Dates:

Session paper submissions: April 5, 2013

of paper acceptance: May 3, 2013

paper due: May 31, 2013