The International Workshop on
Web-based Information Analysis towards
Smart City
(Friday February 15th, 2019 with WSDM in Melbourne, Australia)
(Friday February 15th, 2019 with WSDM in Melbourne, Australia)
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:
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+.
- 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: https://easychair.org/conferences/submission_show_all.cgi?a=19978963
Swinburne University of Technology, Hawthorn, Victoria, 3122, Australia
Binghamton University, Binghamton, NY 13902, USA
RMIT University, 124 La Trobe Street, Melbourne VIC 3000, Australia
RMIT University, 124 La Trobe Street, Melbourne VIC 3000, Australia