[DL] LD4KD2015 - ECML/PKDD workshop on Linked Data for Knowledge Discovery

[Claudia d'Amato]

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** apologies for cross-posting **

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LD4KD2015
2nd Workshop on Linked Data for Knowledge Discovery

http://events.kmi.open.ac.uk/ld4kd2015/

co-located with the European Conference on Machine Learning and
Principles and Practice of Knowledge Discovery 2015 (ECML/PKDD 2015)
September 7th - 11th 2015, Porto, Portugal
(http://www.ecmlpkdd2015.org/)

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Linked Data have attracted a lot of attention in recent years, as the
underlying technologies and principles provide new ways, following the
Semantic Web standards, to overcome typical data management and
consumption issues such as reliability, heterogeneity, provenance or
completeness.  However, the way in which Linked Data can be applicable
and beneficial to the Knowledge Discovery (KDD) process is still not
completely understood.  Many aspects of KDD could in fact benefit from
Linked Data, e.g. mining Linked Data sources, using Linked Data to
enrich, represent or integrate local data for data preparation,
interpretation or visualisation.

The LD4KD2015 workshop encourages the participation of researchers from
the Knowledge Discovery field to discuss and get informed about the use,
benefits and challenges of Linked Data, while Linked Data researchers
can take advantage of and adapt Knowledge Discovery methods in their
domain.

*SCOPE*

We welcome high quality position papers, research papers and demos in
which
(1) Linked Data are used as support of Knowledge Discovery processes to
     extract useful knowledge, or
(2) Knowledge Discovery techniques are adapted to work and possibly
     extend Linked Data.

Topics of either theoretical and applied interest include, but are not
limited to:

- Linked Data for data pre-processing: cleaning, sorting, filtering or
   enrichment
- Linked Data applied to Machine Learning
- Linked Data for pattern extraction and behaviour detection
- Linked Data for pattern interpretation, visualization or optimisation
- Reasoning with patterns and Linked Data
- Reasoning on and extracting knowledge from Linked Data
- Linked Data mining
- Links prediction or links discovery using KDD
- Graph mining in Linked Data
- Interacting with Linked Data for Knowledge Discovery

*IMPORTANT DATES*

Paper submission deadline: Monday, June 22, 2015
Paper acceptance notification: Monday, July 13, 2015
Camera-ready deadline: Monday July 27, 2015
Workshop day: Friday September 11, 2015

*SUBMISSIONS*

Articles should be written following the Springer LNCS template (see
authors instructions at
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0) and can be
up to 10 pages in lenght for research papers or 5 pages for demos and
position papers and demos, including figures and references.

Submissions are exclusively admitted electronically, in PDF format,
through the EasyChair system. The submission site is
https://www.easychair.org/conferences/?conf=ld4kd2015

* PROGRAM COMMITTEE*

Enrico Daga, The Open University, United Kingdom
Floriana Esposito, University of Bari, Italy
Nicola Fanizzi, University of Bari, Italy
Johannes Fürnkranz, Technische Universität Darmstadt, Germany
Nicolas Jay, University of Nancy, France
Agnieszka Lawrynowicz, Poznan University of Technology, Poland
Dunja Mladenic, Jozef Stefan Institute, Slovenia
Amedeo Napoli, University of Nancy, France
Matthias Nickles, National University of Ireland Galway, Ireland
Andriy Nikolov, Fluid Operations AG, Germany
Heiko Paulheim, University of Mannheim, Germany
Maria Teresa Pazienza, University of Rome Tor Vergata, Italy
Vojtěch Svátek, Prague University of Economics, Czech Republic
Isabelle Tellier, University of Paris III, France
Andrea Tettamanzi, University of Nice Sophia Antipolis, France
Volker Tresp, Ludwig Maximilian University of Munich, Germany

* ORGANISING COMMITTEE *

Ilaria Tiddi, Knowledge Media Institute, The Open University, UK
ilaria.tiddi at open.ac.uk

Mathieu d'Aquin, Knowledge Media Institute, The Open University, UK
mathieu.daquin at open.ac.uk

Claudia d’Amato, University of Bari, Italy
claudia.damato at uniba.it
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