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CDMW 2012 : City Data Management Workshop 2012 in conj. with CIKM 2012


When Oct 29, 2012 - Oct 29, 2012
Where Maui, Hawaii USA
Submission Deadline Jul 25, 2012
Notification Due Aug 15, 2012
Final Version Due Aug 25, 2012
Categories    data mining   databases   semantic web   information retrieval

Call For Papers

CDMW 2012 in conj. with CIKM 2012

City Data Management Workshop 2012
Co-located at the The 21st ACM International Conference on Information and Knowledge Management (CIKM 2012)
Submission deadline (extended): July 25, 2012 (12.00 AM, GMT)
Notification of Acceptance: August 15, 2012
Camera Ready: August 25, 2012
CIKM 2012 Conference: October 29th-November 2nd, 2012
CIKM 2012 venue: Sheraton Hotel Maui, Hawaii, USA

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 as being open, heterogeneous, and multi-domain poses novel research problems which are, importantly, 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.

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

Searching and Querying City Data
* 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 Analytics and Mining
* 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

Data Monitoring
* Complex Event Processing for Smarter Cities
* Anomaly detection and prevention
* Forecasting city events
* Event-based optimization for adaptive city operations
* City process monitoring

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

Submissions must be formatted using the ACM templates available at Submissions will be peer reviewed by three independent reviewers. Accepted papers will be presented at the workshop and included in the workshop proceedings. Details on the proceedings and camera-ready formatting will be announced upon notification of the authors. We encourage authors to submit vision, system, original research, practical experience or position papers that are not being considered for publication in any other forum. Please use the Easychair Submission System for City Data Management to submit your paper at

* Individual Workshop Papers Due: June 29, 2012 (12.00 AM, GMT)
* Notification of Acceptance: August 3, 2012
* Camera Ready: August 25, 2012
* CIKM'12 Conference: October 29th-November 2nd, 2012
* Workshop Day: TBD

* Veli Bicer, IBM Research - Smarter Cities Technology Centre, Dublin, Ireland
* Thanh Tran, Institute AIFB, Karlsruhe Institute of Technology, Karlsruhe, Germany
* Fatma Ozcan, IBM Research - Almaden Lab, San Jose, CA, USA
* Opher Etzion, IBM Research - Haifa Lab, Haifa, Israel

* 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 further information, please visit the workshop website at Any questions, comments and suggestions should be directed to

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