Grant: Collaborative Research and Development Grants
University of Waterloo
$149,500.00
An architecture, meta-model and easy-to-use toolkit for the creation of web-based geomatics information
FY 2010-11
Summary
The Web and Interent have become the infrastructure for the widespread delivery of bi-directional information services. However, current Web-based technologies for accessing, integrating, mining, visualizing, capturing and storing geo-spatial data (related to geography) and building related applications that access multiple distributed web-based data sources are often complex and costly to use. Complexity and cost imply significant training for the users and restricted availability of tools, thereby limiting the number of individuals who have the expertise needed to capture, analyze and understand geo-spatial data.
This current lack of easy-to-use generative technological support and approaches impacts the use of geo-spatial data in areas such as land use, ecosystem and water conservation, cultural landscape resources, agricultural and aquaculture practices, food safety, health care, public and population health, and infrastructure placement, areas that are critical to developing and maintaining a sustainable society. Canadian federal and provincial governments and non-government agencies have recognized these concerns and are investing in infrastructure and standards to assist in locating and accessing geo-spatial data. However, they are not focusing on user tools to support the many activities needed for effective geo-spatial analysis. In contrast, our proposal focuses on services to support implementation of Web-based geo-spatial applications that are simple to use and inexpensive. The services will use defined geographic areas (features) to extract geo-spatial data from multiple sources where access can be governed by user roles (who), space (where) and time (when). Visualization services such as maps, graphs, tables and charts will also be available. This suite of
services forms an essential foundation for access, analysis and understanding of geo-spatial data mined from disparate sources. In moving to this next generation of geo-spatial applications, we propose technologies that mask irrelevant implementation and deployment details, and yet allow individuals to compose and change geo-spatial applications easily and quickly.
Program
Collaborative Research and Development Grants
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
391535-2009
Name nom
Cowan, Donald
Department département
Computer Science, David R. Cheriton School of
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2010
Competition year année de concours
2009
Award amount
149500
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
141
Committee name en
University/Industry
Committee name fr
Universités/industrie
Area of application code
800
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information and communication services
Area of application fr
Services d'information et de télécommunications
Research subject code
2710
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information systems design
Research subject fr
Conception de systèmes d'information
Partie
1
Nb partie
3
Application title
An architecture, meta-model and easy-to-use toolkit for the creation of web-based geomatics information
Keyword
NSERC
Application summary
The Web and Interent have become the infrastructure for the widespread delivery of bi-directional information services. However, current Web-based technologies for accessing, integrating, mining, visualizing, capturing and storing geo-spatial data (related to geography) and building related applications that access multiple distributed web-based data sources are often complex and costly to use. Complexity and cost imply significant training for the users and restricted availability of tools, thereby limiting the number of individuals who have the expertise needed to capture, analyze and understand geo-spatial data.
This current lack of easy-to-use generative technological support and approaches impacts the use of geo-spatial data in areas such as land use, ecosystem and water conservation, cultural landscape resources, agricultural and aquaculture practices, food safety, health care, public and population health, and infrastructure placement, areas that are critical to developing and maintaining a sustainable society. Canadian federal and provincial governments and non-government agencies have recognized these concerns and are investing in infrastructure and standards to assist in locating and accessing geo-spatial data. However, they are not focusing on user tools to support the many activities needed for effective geo-spatial analysis. In contrast, our proposal focuses on services to support implementation of Web-based geo-spatial applications that are simple to use and inexpensive. The services will use defined geographic areas (features) to extract geo-spatial data from multiple sources where access can be governed by user roles (who), space (where) and time (when). Visualization services such as maps, graphs, tables and charts will also be available. This suite of
services forms an essential foundation for access, analysis and understanding of geo-spatial data mined from disparate sources. In moving to this next generation of geo-spatial applications, we propose technologies that mask irrelevant implementation and deployment details, and yet allow individuals to compose and change geo-spatial applications easily and quickly.
