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CfP: Workshop on Geospatial Linked Data (GeoLD 2014), with SEMANTiCS 2014

From: Martin Voigt <martin.voigt@tu-dresden.de>
Date: Thu, 15 May 2014 09:24:23 +0200
Message-ID: <53746BA7.5000203@tu-dresden.de>
To: semantic-web@w3.org
                        Call for Papers
1st International Workshop on Geospatial Linked Data (GeoLD 2014)
   in conjunction with the annual SEMANTiCS conference

1st September 2014, Leipzig, Germany


'Geospatial technology, information, and services are addressing some of 
the major priorities of our nations, adding value to productivity, 
reducing costs and enabling GDP growth in the process.'
                Prof. Arup Dasgupta, in Geospatial World, May 2013

In recent years, Semantic Web technologies have strengthened their 
position in the areas of data and knowledge management. Standards for 
organizing and querying semantic information, such as RDF(S) and SPARQL 
are adopted by large academic communities, while corporate vendors adopt 
semantic technologies to organize, expose, exchange and retrieve their 
datasets as Linked Data. Moreover, a large number of currently available 
datasets (both RDF and conventional) contain geospatial information, 
which is of high importance in several application scenarios, e.g., 
navigation, tourism, or social media. Examples include DBpedia, 
Geonames, OSM and its RDF counterpart, LinkedGeoData. RDF stores have 
become robust and scalable enough to support volumes of billions of 
records (RDF triples) but traditional geospatial data management systems 
still significantly outperform them in efficiency and scalability. On 
the other hand, GIS systems can benefit from Linked Data principles 
(e.g. schema agility, interoperability). Recently, GeoSPARQL has emerged 
as a promising standard from W3C for geospatial RDF that targets the 
standardized geospatial RDF data modeling and querying. A great number 
of tools and libraries have been developed that allow for handling 
(storing, querying, visualizing, etc.) Linked Data, however only a few 
approaches started to focus on geospatial RDF data management. 
Integrating Semantic Web with geospatial data management requires the 
scientific community to address the two following challenges. First, the 
definition of proper standards, vocabularies and methodologies for 
representing, transforming and mapping geospatial information according 
to RDF(S) and SPARQL protocols that also conform to the principles of 
established geospatial standards. Second, the development of 
technologies for efficient storage, robust indexing, processing, 
reasoning, querying and visualization of semantically organized 
geospatial data.


The 1st International Workshop on Geospatial Linked Data welcomes the 
submission of original and previously unpublished research papers in the 
field of geospatial Linked Data management. Papers may deal with 
methods, models, algorithms, case studies, practical experiences and 
applications and also work in progress solutions. Topics of interest 
include, but are not limited to:

Interoperability and Integration
* Geospatial Linked Data and standards (GeoSPARQL, INSPIRE, W3C, OGC)
* Extraction/transformation of geospatial Linked Data from conventional 
* Integration (schema mapping, interlinking, fusion) techniques for 
geospatial RDF data
* Enrichment of Linked Data with geospatial information
* Quality, provenance and evolution of geospatial Linked Data

Big Data Management
* Distributed solutions for geospatial Linked Data management (storing, 
querying, mapping, etc.)
* Algorithms and tools for large scale, scalable geospatial Linked Data 
* Efficient indexing and querying of geospatial Linked Data
* Geospatial-specific reasoning on RDF data
* Ranking techniques on querying geospatial RDF data
* Advanced querying capabilities on geospatial RDF data

Utilization of Geospatial Linked Data
* Geospatial Linked Data in social web platforms and applications
* Visualization models and interfaces for browsing, authoring and 
querying geospatial Linked Data
* Real world applications/use cases/paradigms using (exposing, 
utilizing) geospatial Linked Data
* Evaluation/comparison of tools/libraries/frameworks for geospatial 
Linked Data management

GeoLD will provide the opportunity for the community of Linked Data to 
focus on the emerging need for  effective and efficient production, 
management and utilization of geospatial information within Linked Data. 
Emphasis will be given on works describing novel methodologies, 
algorithms and tools that advance the current state of the art with 
respect to efficiency or effectiveness. We welcome both mature 
solutions, as well as ongoing works that present, though, promising results.


For providing a forum for sharing novel ideas, GeoLD welcomes a broad 
spectrum of contributions, including: Full research papers, position 
papers, case studies or evaluations. Authors are invited to submit 
original, unpublished research papers related to the aforementioned 
topics. We invite regular papers (up to 12 pages) as well as short 
papers (up to 6 pages). All submissions are required to be in PDF 
format. Long and short paper submissions must be formatted according to 
Springer’s LNCS format (http://www.springer.com/computer/lncs). Papers 
that exceed the maximum pages or do not follow the LNCS guidelines will 
be automatically rejected without a review. All submissions will be 
reviewed by members of the international program committee. 
Additionally, your submission may be accompanied by a short video figure 
or interactive illustration to foster the understanding of your work. 
Please submit your manuscript using the EasyChair online submission system:


Contributions will be selected based upon their quality as evaluated by 
2-3 referees. Accepted papers will be published on the open-access 
platform CEUR-WS. At least one author of accepted papers is required to 
register at the conference.


* Paper submission deadline: June 20th, 2014
* Notification of acceptance: July 20th, 2014
* Camera ready due: August 5th, 2014
* Workshop date: September 1st, 2014


The Organizing Committee members and the Program Committee members are 
mentioned at http://geold.geoknow.eu.
Received on Thursday, 15 May 2014 07:24:50 UTC

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