Deadline Extension - Workshop on Semantic Cities at IJCAI 2013 - Deadline April 30th


***** Sorry if you received this CFP more than once ******

Call for Papers:
The IJCAI 2013 Workshop on Semantic Cities
Beijing, China;  August 3-9, 2013
Web Site: http://research.ihost.com/semanticcities13/index.html

Submission Site: https://www.easychair.org/conferences/?conf=semcities13


________________________________________
Description

Cities around the world aspire to provide superior quality of life to their
citizens. Furthermore, many are also seen as centers of unique
opportunities, like business, fashion, entertainment and governance, for
their citizens. Cities want to retain such pre-eminent positions or
re-position themselves for newer opportunities. But, resources needed to
reach and sustain such aspirations are decreasing while the expectations
continue to rise from an increasing population-base. A positive trend of
the Internet age is that more data than even before is open and accessible,
including from governments at all levels of jurisdiction, which enables
rigorous analysis.

The scientific community has responded to city challenges by promoting the
computational sustainability vision where resources consumed by a city,
such as water, energy, land, food and air, can be monitored to know the
accurate present picture and then optimized for resource efficiency without
degrading quality of services it provides -traffic movement, water
availability, sanitation, public safety, etc. Industry has joined the
vision with a ÒsmartÓ or ÒintelligentÓ prefix for cyber-physical systems,
which involve sensing the data through physical instruments,
interconnecting and integrating them from multiple sources and analyzing
them for intelligent patterns. This effort needs access to city data,
semantic models to abstract city domains as well as interconnect them so
that advanced applications can be built by rest of the world. We will like
to call cities that enable such capabilities as, "semantic cities".

In a Semantic City, available resources are harnessed safely, sustainably
and efficiently to achieve positive, measurable economic and societal
outcomes. Enabling City information as a utility, through a robust
(expressive, dynamic, scalable) and (critically) a sustainable technology
and socially synergistic ecosystem could drive significant benefits and
opportunities. Data (and then information and knowledge) from people,
systems and things is the single most scalable resource available to City
stakeholders to reach the objective of semantic cities.

Two major trends are supporting semantic cities open data and semantic web.
"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". A number of cities and
government have made their data publicly available, prominent being London
(UK), Chicago (USA), Washington DC (USA), Dublin (Ireland). Semantic web as
the technology to inter-connect heterogeneous data has matured and it is
being increasing used in the form of Linked Open Data and formal
ontologies. Thus, a play-field for more AI research-driven technologies for
cities has emerged e.g., scalable, efficient, robust, optimal AI
techniques.

In this context, the aims of the workshop are to:
1. Draw the attention of the AI community to the research challenges and
opportunities in semantic cities.
2. Draw the attention on the multi-disciplinary dimension and its impact on
semantic cities e.g., transportation, energy, water management, building,
infrastructure, healthcare
3. Identify unique issues of this domain and what new (hybrid) techniques
may be needed. As example, since governments and citizens are involved,
data security and privacy are first-class concerns.
4. Promoting more cities to become semantic cities
5. Elaborating a (semantic data) benchmark for testing AI techniques on
semantic cities
6. Provide a platform for sharing best-practices and discussion

We encourage submissions that show the relevance or application of AI
technologies for computational sustainability domains. In addition to a
focus on foundational technologies for semantic cities (information
management, knowledge management, ontology, inference model, data
integration), we want to promote illustrative use-cases using the semantic
cities foundation. Examples are transportation (traffic prediction,
personal travel optimization, carpool and fleet scheduling), public safety
(suspicious activity detection, disaster management), healthcare (disease
diagnosis and prognosis, pandemic management), water management (flood
prevision, quality monitoring, fault diagnosis), food (food traceability,
carbon-footprint tracking), energy (smart grid, carbon footprint tracking,
electricity consumption forecasting) and buildings (energy conservation,
fault detections). We also encourage submissions that address unique
characteristics of standard AI enabling sustainability problems, like
optimization, reasoning, planning and learning. Outside AI, we encourage
submission from communities engaged in open data and corresponding
standardization efforts, to make their work available at this AI forum.

Topics of interest include, but not restricted to, are:

1. Process to open city (government) data
2. Platforms to manage government data
3. Provenance, access control and privacy-preserving issues in open data
4. Data cities interoperability
5. Semantic models Ð especially those built collaboratively and evolving
6. Data integration and organization in semantic cities (social media
feeds, sensor data)
7. Internet of Things in semantic cities
8. Robust inference models for semantic cities
9. Semantic Event detection and classification
10. Applications in semantic cities e.g., transportation, public safety,
healthcare, water / energy / building management
11. Spatio-temporal reasoning, analysis and visualization
12. User interaction in exploring semantic data of cities
13. Knowledge representation and reasoning challenges
14. Knowledge acquisition, evolution and maintenance
15. Challenges with managing and integrating real-time and historical data
16. Managing Òbig dataÓ using knowledge representation models
17. Integrated systems
18. Applied AI models for semantic cities
19. Issues in scaling out and applying AI techniques for semantic cities
20. Case studies, successes, lessons learnt
21. Public datasets and competitions
22. Intelligent user interface

________________________________________
Workshop Serie

The workshop continues the first workshop on semantic cities at AAAI 2012
(Semantic Cities 2012), which attracted 30 attendees, with background from
Knowledge Representation, AI Planning and scheduling, Multi-Agent Systems,
Constraints Satisfiability and Search.

________________________________________
Workshop Plan

Workshop Format: The workshop will consist of papers, poster presentations,
demonstrations, a panel, an invited talk, and discussion sessions, in a one
full day schedule. The invited talk will invite a leading expert in the
field to present their research and vision of future work. The panel will
focus on connecting the AI researchers to the various challenges that the
targeted domain brings. The schedule will follow the schedule of the 2012
edition, all grouped by topic and type (invited talk, long, short and
demonstration papers, panel).

Submission Guidelines: All papers submissions must be in IJCAI format. They
can be one of two types. The first is regular research papers, which can be
up to 6 pages long and are expected to present a significant contribution.
The second is short submission of up to 4 pages which describes a position
on the topic of the workshop or a demonstration/tool.

Submission site: Papers are to be submitted online at at
https://www.easychair.org/conferences/?conf=semcities13. We request
interested authors to login and submit abstracts as an expression of
interest before the actual deadline.

________________________________________
Important Dates

April 30, 2013: Extended Paper Submission Deadline
May 20, 2013: Notification Decision
May 30, 2013: Camera Ready Due
August, 2013: Workshop date

________________________________________
The Organizers

Co-Chairs:

Freddy Lecue
IBM Research Smarter Cities Technology Centre, Dublin, Ireland
Email : freddy lecue at ie.ibm.com

Biplav Srivastava
IBM T.J. Watson Research Center, Hawthorne, USA
Email: sbiplav  at in.ibm.com

Zaiqing Nie
Microsoft Research
Email: znie at microsoft.com

----------
Steering Committee:

Pol Mac Aonghusa, IBM Research, Ireland
Christian Guttmann, IBM Research, Australia
Anupam Joshi, University of Maryland, Baltimore County, USA
Craig Knoblock, Information Sciences Institute, University of Southern
California, USA
Rahguram Krishnapuram, IBM Research, India
Stefan Schulte, The University of Vienna, Austria

----------
Program Committee:

Mathieu D'Aquin, Open University, UK
Pol Mac Aonghusa, IBM Research, Smarter Cities Technology Centre, Dublin,
Ireland
Soren Auer, Univeristy of Leipzig, Germany
Philippe CudrŽ-Mauroux, University of Fribourg, Switzerland
Fabien Gandon, INRIA, France
Anupam Joshi, University of Maryland, Baltimore County, USA
Subbarao Kambhampati, Arizona State University, USA
Spyros Kotoulas, IBM Research, Smarter Cities Technology Centre, Dublin,
Ireland
Craig Knoblock, USC/ISI and Fetch Technologies, USA
Raghuram Krishanpuram, IBM Research, India
Freddy Lecue, IBM Research, Smarter Cities Technology Centre, Dublin,
Ireland
Ullas Nambiar, EMC, India
Jeff Z.Pan, The University of Aberdeen, UK
Francois Scharffe, LIRMM, Montpellier, France
Biplav Srivastava, IBM Research India, New Delhi, India
Rosario Usceda-Sosa, IBM T.J. Watson Research Center, USA

Best regards,

Freddy Lecue, PhD
Research Scientist, Lead Investigator in Large-scale Reasoning Systems
IBM Research - Ireland - Smarter Cities Technology Center

IBM Product Distribution Limited ( PDL)  Registered in Ireland with number
92815
Registered Office : Oldbrook House, 24 -32 Pembrook Road, Ballsbridge
Dublin 4

Received on Monday, 22 April 2013 09:15:33 UTC