2012-05-14: Workshop Web page is ready!
Individual Workshop Papers Due:
June 29, 2012 (12.00 AM, GMT)
Notification of Acceptance:
August 3, 2012
August 25, 2012
October 29th-November 2nd, 2012
October 29th, 2012
To be announced
Proceedings published by
The City Data Management 2012 Workshop (CDMW 2012) will be co-located with Web-scale Knowledge Representation, Retrieval, and Reasoning (Web-KR) 2012 workshop this year. The program can be accessed HERE. Hope to see you in Maui!
9:00-9:20--Introduction [Spyros Kotoulas (IBM Research)]
Web-scale Knowledge Representation, Retrieval and Reasoning. Session Chair: Yi Zeng (Chinese Academy of Sciences)
City Data Management . Session Chair: Spyros Kotoulas (IBM Research)
12:05-12:30--Discussion and Concluding Remarks, Chair: Yi Zeng (Chinese Academy of Sciences)
Majority of people reside in cities (over 70% of the world population by 2050) - a situation posing several challenges for municipalities, governments, citizens and businesses. In an urbanizing world, cities comprise of different systems ranging from transport, water, and electricity data management infrastructures to social, communication and service networks. The data emerging from these systems is a precious resource to make cities more intelligent, innovative and integrated beyond the boundaries of isolated applications. Today, large amounts of data are retrieved from sensors, mobile devices, social network messages, governmental applications, or utility services. Cleansing, integrating, managing, and analysing this data to turn it into actionable insights is critical to make cities smarter. The nature of this data differs from an enterprise setting in terms of being open, heterogeneous, and multi-domain, whereas it is more specific, and coupled than Web data. It poses novel research problems which importantly, are open to the investigation of a broad community of researchers due to its public availability (as opposed to enterprise data, large amounts of city data have been made publicly available, e.g. see Dublinked ).
City Data Management covers a broad range of topics, from the acquisition, cleaning, annotation and integration of raw data to techniques for searching, mining, and monitoring. Also industry has joined governments and research communities to develop solutions that leverage city data in intelligent platforms to find smart solutions to particular problems, such as optimizing maintenance schedules, early detection of leaky pipes, or disaster planning. This workshop will focus on those techniques for managing city data to transform cities into smarter living areas.
The focus of the workshop is to bring together researchers in various research communities, as well as stakeholders, administrators, urban planners and industry people facing the challenges of city data management.
- Positioning of the city data management topic among the other types of data management (e.g. enterprise, Web) by identifying the unique characteristics of city data (e.g. heterogeneity, openness, geospatially, privacy, data source etc.) and by listing the requirements for managing such data.
- Showing how the particular challenges (e.g. urban planning, resource optimization, emergency evacuation, transportation planning) of cities can be addressed by the information contained within the vast amount of available heterogeneous city data.
- Drawing a parallel between the topics of city data management and the topics of the major tracks of CIKM (e.g. DB, IR, KM) will be a third objective of the workshop.
Addressing the challenges in a heterogeneous city environment, relevant topics for city data management can be grouped into four categories. The first category addresses the acquisition of city data from numerous sources and its maintenance at a large-scale. Second, we will focus on intuitive, end-user oriented techniques for searching and querying city data in order to ease its access by stakeholders, citizens and decision makers. As a third category, the application of data analytics and mining will shed light on our understanding of major city operations. Finally, monitoring the city data will be covered in order to better anticipate problems, respond to crises, and manage resources. This workshop targets these four categories, focusing on (but is not limited to) the following topics:Data Acquisition, Integration and Maintenance
- City data acquisition, integration and storage
- City data cleaning and quality management
- City data representation, semantics, and interoperability
- Managing large-scale city data
- Cloud computing and city data
- Linked Open City Data
- City data streams and sensor networks
- City-specific social media data
- City data privacy, provenance and security
- Domain-specific IR (e.g. legal, environmental, governmental IR)
- Searching social media for smarter cities
- Searching structured city data
- Query processing and optimization on heterogeneous city data
- Stream query processing
- Discovering citizen services
- User studies, interfaces and visualization
- Question answering for citizens
- Data mining for smarter cities
- Mining city-wide (e.g. transportation, energy) streams
- Geospatial analysis of city data
- Opinion mining and sentiment analysis on social media data
- Social network analysis
- Clustering, classification, and summarization of city data
- Modeling and simulation of city infrastructure
- Predictive analysis for optimization of city infrastructure and city resiliency
- Complex Event Processing for Smarter Cities
- Anomaly detection and prevention
- Forecasting city events
- Event-based optimization for adaptive city operations
- City process monitoring
- Aharon Satt, IBM Research, Israel
- Alexander Arkitis, National Centre for Scientific Research "Demokritos", Greece
- Alexandre Alves, Oracle, USA
- AnHai Doan, University of Wisconsin, USA
- Benny Kimelfeld, IBM Research, USA.
- Freddy Lecue, IBM Research, Ireland
- Gianluca Demartini, University of Fribourg, Switzerland
- Guy Sharon, IBM Research, Israel
- Jeff Heflin, Lehigh University, USA
- Martin Theobald, Max Planck Institute for Informatics, Germany
- Nenad Stojanovic, FZI, Germany
- Ooi Beng Chin, National University of Singapore, Singapore
- Philipp Cimiano, University of Bielefeld, Germany
- Philippe Cudre-Mauroux, MIT, USA
- Pinar Senkul, Middle East Technical University, Turkey
- Ralf Schenkel, Max Planck Institute for Informatics, Germany
- Roi Blanco, Yahoo! Research, Spain
- Shady Elbassuoni, Qatar Foundation,Qatar
- Wolfgang Nejdl, University of Hanover, Germany
- Yunyao Li, IBM Research, USA
For submissions, the following rules apply:
- Full technical papers (June 29th): up to 8 pages in ACM format
- Short position or demo papers (June 29th): up to 4 pages in ACM format
The organization committee can be reached using the contact information above.