Grant: Canada Research Chairs
Ryerson University
$120,000.00
Software and Semantic Computing
EF 2019-20
Résumé
It has been reported that 90% of all the data in the world has been generated over the past two years either through user-generated content or by scientific or industrial entities. Analytics software applications, large-scale and data-intensive, can extract insight from this abundant data if they are systematically designed. The pressing challenge is to develop data analytics software methodologies and platforms that can help with the understanding of the value and meaning of this data. This research project is uniquely positioned to address this challenge by equipping software engineers and data scientists with suitable tools and techniques for developing data analytics software applications that have the right set of functionality and are resilient to large amounts of data.
Programme
Canada Research Chairs
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
1000230880-2015
Name nom
Bagheri, Ebrahim
Department département
Electrical & Computer Engineering FEAS
Organization id
43
Institution établissement
Ryerson University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2015
Award amount
120000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Installment
NA
Partie
0
Nb partie
NA
Application title
Software and Semantic Computing
Keyword
NSERC
Application summary
It has been reported that 90% of all the data in the world has been generated over the past two years either through user-generated content or by scientific or industrial entities. Analytics software applications, large-scale and data-intensive, can extract insight from this abundant data if they are systematically designed. The pressing challenge is to develop data analytics software methodologies and platforms that can help with the understanding of the value and meaning of this data. This research project is uniquely positioned to address this challenge by equipping software engineers and data scientists with suitable tools and techniques for developing data analytics software applications that have the right set of functionality and are resilient to large amounts of data.
