The Third International Workshop on Spatial Information Modeling, Management and Mining (SIM3)
Nowadays, spatial data exists pervasively in various information systems and applications. The unprecedented amount of spatial data that has been amassed and that is being produced in an increasing speed, via various facilities such as sensors, GPS receivers, smart phones and remote sensing, calls for extensive, deep and sustaining research on spatial information modeling, management and mining. In the past decade, we witnessed increasing research interests in these areas from database, data mining and geographic information systems (GIS) communities.
Following the success of last two SIM3, the workshop sticks to the tradition that brings together researchers, developers, users, and practitioner carrying out research and development in spatial information modeling, management and mining, and fosters discussions in all aspects of these research areas. The workshop will provide a forum for original research contributions and practical experiences of spatial information modeling, management and mining and will highlight future trends in these topics.
Therefore, we will invite submissions that address theoretical, technical and practical issues of spatial information modeling, management, and mining. Suggested topics include, but are not limited to:
  • Spatial information modeling
    • Spatial data modeling
    • Conceptual and logical models for spatial data
    • Spatial services modeling
    • Spatial information grid
    • Ontologies for GIS applications
    • Schema mapping and evolution
    • Spatial semantic issues
    • Location-based social network
    • Modelling for big spatial data
  • Spatial information management
    • Spatial query languages and interfaces
    • Spatial query processing and optimization
    • Spatial search engines
    • Spatial data management in cloud
    • Spatial information integration
    • Spatial information interoperability and standards
    • Spatial metadata management
    • Spatial information visualization
    • Location-based services
  • Spatial mining
    • Spatial correlation analysis
    • Spatial clustering
    • Spatial regression and classification
    • Spatial trend detection
    • Spatial outlier detection
    • Spatial data warehousing
    • Location-based recommender systems
Workshop Co-Chairs:
Dr. Xin Wang (email), University of Calgary
Dr. Jun Luo (email), Huawei Noah’s Ark Laboratory, China
Dr. Jihong Guan (email), Tongji University, China
Program Committee Members:
Michela Bertolotto (University College Dublin, Ireland)
Elena Camossi (University College Dublin, Ireland)
Christophe Claramunt (Naval Academy Research Institute, France)
Haiquan Chen (Valdosta State University, USA)
Keng Deng (Huawei Noah's Ark Laboratory, Hong Kong, China)
Georg Gartner (Vienna University of Technology, Austria)
Yan Huang (University of North Texas, USA)
Yoshiharu Ishikawa (Nagoya University, Japan)
Bin Jiang (University of Gävle, Sweden)
Songnian Li (Ryerson University, Canada)
Xiang Li (East China Normal University, China)
Steve Liang (University of Calgary, Canada)
Eleni Mangina (University College Dublin, Ireland)
Gavin Mcardle (National University of Ireland Maynooth, Ireland)
Wolfgang Reinhardt (Universität der Bundeswehr München, Germany)
Markus Schneider (University of Florida, USA)
Ruisheng Wang (University of Calgary, Canada)
Shuliang Wang (Wuhan University, China)
Ling Yin (Shenzhen Institutes of Advanced Technology, CAS, China)
Qiming Zhou (Hong Kong Baptist University, Hong Kong, China)
Danielle Ziebeline (University Joseph Fourier, France)
Important dates:
Paper submission deadline:10 January 2014
 20 January 2014
Notification of acceptance:10 February 2014
 15 February 2014
Camera-ready papers due:28 February 2014
Workshop:21 April 2014
The accepted paper will be included in the combined proceedings of DASFAA 2014 workshops via a volume of Lecture Notes in Computer Science series of Springer. Accepted papers will also be invited to extend and submit to a special issue of Transactions in GIS on Spatial Information Modeling, Management and Mining.
Paper Submission
Submissions must be no longer than 12 pages, and should be formatted in the style of Lecture Notes in Computer Science (LNCS). Note that all papers should be submitted here.