The International Workshop on

Web-based Information Analysis towards

Smart City

(Friday February 15th, 2019 with WSDM in Melbourne, Australia)


Workshop Objectives and Goals:

This workshop aims to attract web inspired research involving search and data mining with a special focus on the applications related of smart city. The smart city is also known as ubiquitous city, intelligent cities, virtual cities, digital cities, knowledge cities where ICT is central to the operation of the future city. About half of humanity lives in urban environments today and that number will grow to 80% by the middle of this century; North America is already 80% in cities, and will rise to 90% by 2050. Cities are thus the loci of resource consumption, of economic activity, and of innovation; they are the cause of our looming sustainability problems but also where those problems must be solved. Smart cities are leveraging advanced analytics solutions to support urban management and more informed decision making.

Towards smart city, the essential tasks include acquisition, integration, and analysis of big and heterogeneous data generated by a diversity of sources in urban spaces, such as sensors, devices, vehicles, buildings, social networks and human. It includes a huge amount of static knowledge about the city (i.e., urban, social and cultural knowledge) and historical data (i.e., the accumulated data of the vehicle trajectories, weather, crime events, traffic accidents, real estate prices, POI and etc.). Even though essential in various applications, these data cannot provide dynamic information of the city as the web-based information sources such as online traffic information system, online news, online sensors, online location-based services, and online social media. The dynamic information allow people to take the pulse of the city for different purposes such as to predict the events to happen, to enable better route path, to prevent stampede and to support online decision making. In the last decade, the web-based online information has been widely explored through social network mining, geo and location data analysis, opinion mining, sentiment analysis, and mobile mining by ICT researchers and industrial practitioners to address problems in urban planning, transportation systems, social applications, environment, urban energy consumption, economy, public safety and security. In this work, topics of interest include, but not limited to, the following aspects:

  • Social behavior modeling and patterns mining in urban spaces
  • City-wide traffic modeling, visualization, analysis, and prediction
  • City-wide human mobility modeling, visualization, and understanding
  • City-wide intelligent transportation systems
  • City-wide mobile social applications in urban areas
  • Location-based social networks enabling urban computing scenarios
  • Mining urban economics
  • Data mining for urban planning and city configuration evaluation
  • Mining urban environmental, pollution, and ecological data
  • Knowledge discovery from sensor data for saving energy and resources
  • Urban sensing and city dynamics sensing
  • Knowledge fusion from data across different domains
  • Anomaly detection and event discovery in urban areas
  • Joint modeling of unstructured and structured urban data from the web and Internet of Things
  • Knowledge and semantic analysis of urban data

Target Audience and Estimated Number of Participants

The targeted workshop audiences are data science researchers and practitioners from academia, industry and government who have special interest in smart city, urban computing, location-based services, Location-based community, geography & location data analysis, social network and etc. The estimated number of participants is 30+.

Important Date:

  • Workshop abstract/paper submissions: 15 November, 2018 (extended to 25 November, 201)
  • Workshop paper notification: 1 December, 2018
  • Camera-ready deadline and copyright forms: 14 December, 2018

Submission Information

- Novel research papers

- Appraisal papers of existing methods and tools (e.g., lessons learned)

- Demo papers

- Work-in-progress papers

- Visionary papers (white papers)

- Relevant work that has been previously published

Authors should clearly indicate in their abstracts the kinds of submissions that the papers belong to, to help reviewers better understand their contributions. Submissions must be in PDF, written in English, no more than 10 pages long — shorter papers (including extended abstracts) are also welcome — and formatted according to the standard double-column ACM Sigconf Proceedings Style. The accepted papers will be posted on the workshop website and will not appear in the KDD proceedings. Submission site:

Workshop Organisation

  • Professor Timos Sellis

Swinburne University of Technology, Hawthorn, Victoria, 3122, Australia

  • Professor Weiyi Meng

Binghamton University, Binghamton, NY 13902, USA

  • Dr. Flora Salim

RMIT University, 124 La Trobe Street, Melbourne VIC 3000, Australia

  • Dr. Ke Deng (Corresponding Person)

RMIT University, 124 La Trobe Street, Melbourne VIC 3000, Australia