- From: Freddy Lecue <freddy.lecue@ie.ibm.com>
- Date: Tue, 20 Mar 2012 16:34:24 +0000
- To: public-lod@w3.org
Apologies for cross-postings. Call for Papers: The AAAI 2012 Workshop on Semantic Cities Toronto, Ontario, Canada; July 22-26, 2012 http://research.ihost.com/semanticcities12/index.html Description: Cities around the world aspire to provide superior quality of life to their citizens. An increasing number have realized that opening access to their data, and building semantic models to abstract as well as interconnect them; can unleash economic growth while addressing sustainability issues. We 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. 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 3. Identify unique issues of this domain and what new 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. Apart from 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, 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 11. Spatio-temporal 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 "big data" 17. Integrated systems 18. Applied AI models for semantic cities 19. Issues in scaling out AI techniques for semantic cities 20. Case Studies, successes, lessons learnt 21. Public datasets and competitions Workshop Plan: Workshop Format: The workshop will consist of papers and poster presentations, 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. Submission Guidelines: All papers submissions must be in AAAI format ( http://www.aaai.org/Publications/Templates/AuthorKit.zip). 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. All submissions will be handled electronically via Easychair: http://goo.gl/BBsdW Important Dates: March 30, 2012: Paper Submission Deadline April 20, 2012: Notification Decision May 8, 2012: Camera Ready Due June 1, 2012: Early registration date July 22-23, 2012: Workshop date The Organizers/ Co-Chairs: Biplav Srivastava IBM T.J. Watson Research Center, Hawthorne, USA Email: sbiplav at in.ibm.com Freddy Lecue IBM Research Smarter Cities Technology Centre, Dublin, Ireland Email : freddy lecue at ie.ibm.com Anupam Joshi University of Maryland, College Park, USA Email: joshi at cs.umbc.edu 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 Michael Hausenblas, DERI, Galway, Ireland Anupam Joshi, University of Maryland, College Park, 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, IBM Research, India Ulrike Sattler, The University of Manchester, UK Francois Scharffe, LIRMM, Montpellier, France Biplav Srivastava, IBM Research India, New Delhi, India Rosario Usceda-Sosa, IBM T.J. Watson Research Center, USA
Received on Tuesday, 20 March 2012 16:35:07 UTC