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Call for Papers: GIScience in the Big Data Age 2012 (GIBDA2012)

From: Dave Kolas <dkolas@bbn.com>
Date: Thu, 24 May 2012 10:19:43 -0400
Message-ID: <4FBE437F.7010707@bbn.com>
To: semantic-web@w3.org
======================================================

Call for Papers

Workshop on GIScience in the Big Data Age 2012 (GIBDA2012)      in
conjunction with the seventh International Conference on     Geographic
Information Science 2012 (GIScience 2012)     Columbus, Ohio, USA on
September 18th, 2012

     http://stko.geog.ucsb.edu/gibda2012/

The rapidly increasing information universe with new data created at a
speed surpassing our capacities to store it, calls for improved methods
to retrieve, filter, integrate, and share data. The vision of a
data-intensive science hopes that the open availability of data with a
higher spatial, temporal, and thematic resolution will enable us to
better address complex scientific and social questions. However, on the
downside, understanding, sharing, and reusing these data becomes more
challenging. Big Data is not only big because it involves a huge amount
of data, but also because of the high-dimensionality and inter-linkage
of these data sets. The on-the-fly integration of heterogeneous data
from various sources has been named one of the frontiers of Digital
Earth research, Bioinformatics, the Digital Humanities, and other
emerging research visions.

> From a more technical perspective, a knowledge infrastructure is
required to handle Big Data. Currently, the most promising approach is
the Linked Data cloud. While the Web has changed with the advent of the
Social Web from mostly authoritative towards increasing amounts of
user-generated content, it is essentially still about linked documents.
These documents provide structure and context for the described data and
easy their interpretation. In contrast, the upcoming Data Web is about
linking data, not documents. Such data sets are not bound to a specific
document but can be easily combined and used outside of the original
context. With a growth rate of millions of new facts encoded as
RDF-triples per month, the Linked Data cloud allows users to answer
complex queries spanning multiple sources. Due to the uncoupling of data
from its original creation context, semantic interoperability, identity
resolution, and ontologies are central methodologies to ensure
consistency and meaningful results.

Space and time are fundamental ordering relations to structure such data
and provide an implicit context for their interpretation. Prominent
geo-related Linked Data hubs include Geonames.org as well as the Linked
Geo Data project, which provides a RDF serialization of Open Street Map.
Furthermore, many other Linked Data sources contain location references,
e.g., observation data provided by sensors.

This full day workshop is a follow-up event of the successful first
workshop on Linked Spatiotemporal Data at GIScience 2010. While this
first workshop was centered around Linked Data and geo-ontologies, the
GiBDA 2012 workshop takes a broader perspective by highlighting
data-intensive science as the research vision and Linked Data as a
promising knowledge infrastructure. We hope that the workshop will help
better define the data, knowledge representations, infrastructure,
reasoning methodologies, and tools needed to link and query massive data
based on their spatial and temporal characteristics.

*List of Relevant Topics*

Topics of interest for the Linked Spatiotemporal Data workshop include
(but are not limited to):

	. Mining Big Data

		. Learning geo-ontologies out of massive data
		. Abduction-based frameworks and systems
		. Mining Location-based Social Networks
		. Studying the geo-indicativeness of massive, semi-structured data
		. Analogy-based search in Big Data
		. Semantic heterogeneity and ontology alignment
		. Semantics-enabled geo-statistics

	. Retrieving and browsing of Linked Spatiotemporal Data

		. Learning Linked Spatiotemporal Data from existing sources
		. Spatiotemporal indexing of Linked Data
		. Harvesting Linked Data from heterogeneous sources
		. Spatial extensions to query languages (e.g., GeoSPARQL)
		. Visualizing and browsing through Linked Spatiotemporal Data

	. Big Data and Volunteered Geographic Information (VGI)

		. Spatiotemporal aspects of data quality, trust, and provenance
		. Tag and vocabulary recommendations for annotating VGI
		. Maintenance of outgoing links

	. Application of Linked Spatiotemporal Data

		. Linked Data and Sensor Web Enablement (SWE)
		. Linked Data and mobile applications
		. Linked Data gazetteers and Points Of Interest
		. Linked Data in the domain of cultural heritage research

	. Integration and Interoperation of Linked Spatiotemporal Data

		. Ontologies and vocabularies to support interoperability
		. Geo-Ontology Design Patterns
		. Identity assumptions and resolution for data fusion and integration
		. The role of space and time to structure Linked Data
		. Versioning of spatiotemporal data.
		. Semantic annotation and Microformats
		. Adding contextual information to Linked Data

*Workshop Format and Structure*

The full day workshop will focus on intensive discussions setting a
roadmap towards publishing, structuring, retrieving, and consuming
Linked Spatiotemporal Data and understanding how GIScience can
contribute to the vision of a data-intensive science. The workshop will
accept three kinds of contributions, full research papers presenting new
work in the indicated areas, statements of interest, and data challenge
papers. While the research papers will be selected based on the review
results adhering to classical scientific quality criteria, the
statements of interest should raise questions, present visions, and
point to the open gaps. However, statements of interest will also be
reviewed to ensure quality and clarity of the presented ideas.

We also welcome demonstrations of existing tools, applications, and
geo-ontologies. Details for the data challenge are given below. The
presentation time per speaker will be restricted to 5 minutes for
statements of interest and 10 minutes for full papers. Based on the
presented work, all workshop participants will decide on 2--3 research
topics to be discussed in breakout groups. In a final session, the
breakout groups will present their findings on research topics and
challenges and try to integrate them across the discussed topics.

*Submissions and Proceedings*

All presented papers will be made available through the workshop
Web-page, the electronic conference proceedings of GIScience 2012, as
well as via CEUR-WS. Full research papers should be approximately 7-10
pages, while statements of interest and data challenge papers should be
between 5-6 pages. Selected papers may be considered for a fast-track
submission to the Semantic Web journal by IOS Press.

*Data Challenge*

The websitehttp://spatial.linkedscience.org/  contains a growing
collection of metadata for proceedings of conferences on topics related
to geographic information science. So far, it contains most of the
metadata for the GIScience, COSIT, ACM GIS, and AGILE conference series.
Within the GIBDA Data Challenge, we are looking for

	. innovative analyses of the data
	. interactive visualizations
	. approaches for cleaning the data up
	. pattern and topic mining
	. enrichment and interlinking with other datasets (e.g., from the
Linked Data cloud)
	. insights into GIScience as research field
	. adding social roles and aspects

The raw data can be queried via SPARQL using the SPARQL endpoint
spatial.linkedscience.org/sparql. Submissions to the data challenge are
to be submitted through EasyChair as a brief description of the entry,
along with a link to the demo/analysis/dataset. Entries to the challenge
will be evaluated by the program committee based on innovativeness and
potential impact. The winner will be awarded a $250 price and will
present at the workshop.

*Important Dates*

	. Submission due: 18. June 2012
	. Acceptance Notification: 6. July 2012
	. Camera-ready Copies: 16. July 2012

*Organizing Committee*

	. Krzysztof Janowicz, University of California, Santa Barbara, USA
	. Carsten Keßler, University of Münster, Germany
	. Tomi Kauppinen, University of Münster, Germany
	. Dave Kolas, BBN Technologies, USA
Received on Thursday, 24 May 2012 14:20:29 UTC

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