21st International Database Engineering & Applications Symposium

IDEAS '17 would be hosted by University of the West of England, Bristol, England
In co-operation with ACM, ACM SIGKDD and ACM SIGMOD


July 12-14, 2017



Smart Cities and Data Analytics(Thematic Track)





Scope and Background


Information and Communication Technologies (ICT) are becoming increasingly pervasive in urban environments and providing the necessary basis for sustainability and resilience of the smart cities. ICT solutions are being applied in smart mobility, energy, urban planning, socio-economic, health and environment application domains. ICT as the prime enabler for smart cities help in transforming city governance processes by making effective use of application specific information and knowledge. This unique possibility of realisation of smart cities is being enabled by smarter ‘Internet of Things’ (IoT) i.e. smart phones, sensor nets, smart household appliances, open data, crowd sourcing, etc., and making efficient use of ever increasing Big city data. Smart cities and its stakeholders can benefit from Big, and often real-time cross-thematic, data collection, processing, integration, visualisation and sharing through inter-operable information services. This certainly require adoption of existing or new standards in dealing with smart city data and services.


In the above context, the real value of smart city data is gained by new knowledge generation and by performing context based data processing and analytics using various data mining, machine learning or deep learning methods. This new knowledge can be used in improving the efficiency of existing city governance processes and effective policy making. The smart city data analytics for knowledge generation becomes challenging when applied to large scale or real time data and hence requires appropriate technology infrastructure e.g. software defined networks, tools, and techniques to be applied to process and generate required information without compromising privacy or security of data providers.


Smart City Platforms
Smart Programmable City APIs
Smart City Technological Infrastructure
Internet of Things and Big Data
Context Aware Systems for Smart Cities
Smart Cities Big Data Management
Smart Cities Data Analytics
Software Technologies for Smart Cities
Data Harmonisation, Integration and Processing
Public Participation and Crowd Sourcing
Smart Buildings and Building Information Modelling (BIM)
Connected Living Labs
Smart Data Security and Privacy Aspects	    




Track chair


Zaheer Khan, University of the West of England, Bristol



Important Dates


Please see the deadlines in IDEAS17 main page. Papers should be submitted on ConfSys and choosing the IDEAS 2017 site: select the track "Smart Cities and Data Analytics" while completing the paper information page.



Conference Publication


The conference proceedings, including accepted thematic track papers, will be published by ACM in their digital library; the ISBN assigned by ACM to IDEAS17 is: 978-1-4503-5220-8
A version of the proceedings to be distributed to the conference attendees would be prepared by BytePress.


Organized by

University of the West of England, Bristol, England;
Concordia University, Montreal, Canada;
with the cooperation of ACM, ACM SIGMOD and ACM SIGKDD, and

General Chair: Bipin C. Desai, Concordia University, Montreal

Program Chair: Dr Jun Hong, Queen's University Belfast

Local Chair: Richard McClatchey, University of the West of England, Bristol

Publicity Chair: Kamran Munir, University of the West of England, Bristol


IDEAS17 Program Committee





IDEAS Steering Committee


Desai, Bipin C. (Chair)  Concordia University
Ng, Wilfred  Hong Kong University of Science and Technology
Pokorny, Jaroslav  Charles University
Toyoma , Motomichi  Keio University
Ullman, Jeffrey  Stanford University

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The University of West England, Bristol