SIM3 2014 - The Third International Workshop on Spatial Information Modeling, Management and Mining

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)
Keng Deng (Huawei Noah's Ark Laboratory, Hong Kong, China)
Yoshiharu Ishikawa (Nagoya University, Japan)
Bin Jiang (University of Gävle, Sweden)
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: 30 November 2013
Notification of acceptance: 31 December 2014
Camera-ready papers due: 15 January 2014
Workshop: 21 April 2014
Publications
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 (pending for approval). Accepted papers will also be invited to extend and submit to a special issue of Trans in GIS (pending for approval) 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).