SIM3 2012 - The Second International Workshop on Spatial Information Modeling, Management and Mining (SIM3-2012)
Topics/Call fo Papers
The Second International Workshop on Spatial Information Modeling, Management and Mining (SIM3-2012)
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 SIM3-2011, SIM3-2012 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
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 information mining
Spatial correlation analysis
Spatial clustering
Spatial regression and classification
Spatial trend detection
Spatial outlier detection
Spatial data warehousing
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 SIM3-2011, SIM3-2012 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
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 information mining
Spatial correlation analysis
Spatial clustering
Spatial regression and classification
Spatial trend detection
Spatial outlier detection
Spatial data warehousing
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Last modified: 2011-10-13 18:26:22