The Web of Data is growing at an enormous pace. However, the development of dedicated software applications, capable to deal efficiently in information-rich spaces, of which the Semantic Web is one dimension, is not
yet mainstream. Reasons for that include one (or more) of the following research issues: lack of integrated development environments (IDEs, such as Visual Studio and Eclipse), poor programming language support, lack of standard
testbeds and/or benchmarks, inadequate training, and perhaps the need for curricula revision. Properly addressing these issues requires interdisciplinary skills, and the collaboration between academia and industry.
The First Workshop on Programming the Semantic Web invites submissions that explore the gap between today’s data management challenges, particularly the ones related to dealing with large amounts of semantically rich data, and the lack of adequate tools. We are looking for contributions that discuss, promote and further advance the programming facet of the Semantic Web, including the development of new languages, extension of existing ones, and the inclusion of semantic enabled capabilities into existing IDEs.
Papers submitted to PSW’12 should explore open research problems, and must not have been accepted for publication elsewhere or be under review for another workshop or conference. All papers will be peer-reviewed by at least three PC members.
Topics of interest include, but are not limited to:
* Languages, tools, and methodologies for representing and managing Information-rich data
* Novel programming paradigms aimed at the Semantic Web/ linked data /Information-rich spaces in general
* Impact of specific application areas (e.g. e-science, e-gov, sensors) on Information-rich application design
* Data Visualization
* Programming Patterns for data handling
* Evaluation of data quality
* Plugins and IDEís for information rich application development
* Ontologies, Schemata, Taxonomies and Types interplay
* query, integration, and analysis of Semantic Web data
* Cleaning and provenance of Semantic Web data, services, and processes
* Mashing up data and processes
SUBMISSION GUIDELINES AND PROCEEDINGS
Papers submitted to *PSW 2012* should explore open research problems, and must not have been accepted for publication elsewhere or be under review for another workshop or conference. All papers will be peer-reviewed by at least three PC members.
The workshop will accept:
* Full research and experience papers (maximum length: 12 pages)
* Position and demonstration Papers (maximum length: 4 pages)
Submissions must be formatted in the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS) (http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). Papers should be submitted electronically, in PDF format, via EasyChair. All submissions will be peer-reviewed by members of the international program committee. Paper acceptance will be based on originality, significance,
technical soundness, and clarity of presentation.
* Best papers will have the opportunity to be published in a book on Data Driven Programming, to be published by Springer fall 2013.*
At least one author per accepted paper must register and participate in the workshop. Registration is subject to the terms, conditions and procedure of the main ISWC conference to be found on their website.
Karin Breitman, EMC Research Center
Evelyne Viegas, Microsoft Research
Steffen Staab, Universtity of Koblenz-Landau
Jan Vitek, Purdue University
Alexander Paar, TWT Science and Innovation
Andy Gordon, Microsoft Research
Axel Polleres, Siemens
Daniel Oberle, SAP
Don Syme, Microsoft Research
Gerd Gröner, University of Koblenz-Landau
Haym Hirsh, Rutgers University
Janis Voigtländer, University of Bonn
Jeff Pan, University of Aberdeen
Judith Bishop, Microsoft Research
Manfred Hauswirth, DERI
Nigel Hoorspool, University of Victoria
Peter Fox, Rensselaer Polytechnic Institute
Ralf Lämmel, University of Koblenz-Landau
Ralf Möller, TU Harburg
Sören Auer, University of Leipzig
Tim Finin, University of Maryland
Tomas Petricek, Cambridge University