City Data Management 2012 Workshop

Located at the The 21st ACM International Conference on Information and Knowledge Management CIKM 2012
Oct 29, 2012 in Maui, USA


2012-06-19: PC is updated!
2012-05-14: Workshop Web page is ready!

Important Dates

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:
October 29th, 2012

Workshop Support

To be announced

Proceedings published by


Workshop Program

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!

Workshop Program

9:00-9:20--Introduction [Spyros Kotoulas (IBM Research)]

Session 1

Web-scale Knowledge Representation, Retrieval and Reasoning. Session Chair: Yi Zeng (Chinese Academy of Sciences)

  • 9:20-9:45--A Distributed, Semiotic-Inductive, and Human-Oriented Approach to Web-Scale Knowledge Retrieval. Edy Portmann, Michael Alexander Kaufmann, CÉdric Graf
  • 9:45-10:10--OmpiJava - A Tool For Development Of High-Performance Reasoning Applications For The Semantic Web. Alexey Cheptsov
  • 10:10-10:35--Efficient Mining of Correlated Sequential Patterns Based on Null Hypothesis. Cindy Xide Lin, Ming Ji, Marina Danilevsky, Jiawei Han
  • 10:35-10:50--Coffee Break

Session 2

City Data Management . Session Chair: Spyros Kotoulas (IBM Research)

  • 10:50-11:15--DataBridges: Data Integration for Digital Cities. Melanie Herschel, Ioana Manolescu
  • 11:15-11:40--U2STRA: High-Performance Data Management of Ubiquitous Urban Sensing Trajectories on GPGPUs. Jianting Zhang, Simin You, Le Gruenwald
  • 11:40-12:05--Qualitative Representation of Building Sites Annoyance. Fatiha Amanzougarene, Mohamed Chachoua, Karine Zeitouni

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.


The workshop aims to provide a forum to discuss challenges and opportunities of city data management and to promote interaction among experts. In this regard, main objectives include:
  • 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.
The main outcome will be to produce a roadmap and a community of researchers interested in this topic in order to guide further developments and technological progress towards smarter cities.

Topics of Interest

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


  • 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

Program Committee

  • 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

Submission and Proceedings

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 here. Submissions will be peer reviewed by three independent reviewers. Accepted papers will be presented at the workshop and included in the workshop proceedings. We will pursue a journal special issue with the topics of the workshop if we receive an appropriate number of high-quality submissions. Details on the proceedings and camera-ready formatting will be announced upon notification of the authors. Please use the following link to the submission system to submit your paper at Easychair Submission System for City Data Management


The organization committee can be reached using the contact information above.