Grant: Engage Grants Program
University of Ontario Institute of Technology
$25,000.00
Content gathering automation for Ingle International
FY 2015-16
Summary
Ingle International provides proprietary content involving information in the area of health, security and risk assessment designed to protect an individual at home and abroad. The content includes symptoms of disease, health assessment results, terrorist incidents, weather, travel advisories to an escape route of a building, etc. The content is delivered to an individual in several manners including mobile applications to provide breaking information to subscribers.
The proprietary content has involved manual extraction from internet sources such as social media sites which are then aggregated into the format desired by the company. The Ingle content data format is well defined but the information source sites/feeds involve differing formats and internet page address locations that may change over time. Currently, the users have to manually extract the content, format, massage and aggregate them into the desired format.
The research proposes to develop an algorithm that automatically extracts the data from web sites by matching the user's actions/interest and, following rules for processing, modify the data into the desired content format. Potential changes in website/feed layouts and locations requires learning algorithms that can adapt to these changes when searching for the target content.
Benefits to Ingle International are in providing a fast, intuitive service that enhances the user's experience. This Canadian business looks to build its suite of products for both the domestic and international markets. For Canadians, the products will improve health and safety security when traveling abroad as well as encourage reductions in insurance premiums to clients using the products.
Program
Engage Grants Program
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
479861-2015
Name nom
Lu, Fletcher
Department département
Business and Information Technology, Faculty of
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2015
Competition year année de concours
2015
Award amount
25000
Program id
EGP
Program name en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1553
Committee name en
Ontario Internal Decision Committee
Committee name fr
Comité de décision interne pour l'Ontario
Area of application code
802
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 systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2805
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Learning and inference theories
Research subject fr
Théories de l'apprentissage et l'inférence
Partie
1
Nb partie
1
Application title
Content gathering automation for Ingle International
Keyword
NSERC
Application summary
Ingle International provides proprietary content involving information in the area of health, security and risk assessment designed to protect an individual at home and abroad. The content includes symptoms of disease, health assessment results, terrorist incidents, weather, travel advisories to an escape route of a building, etc. The content is delivered to an individual in several manners including mobile applications to provide breaking information to subscribers.
The proprietary content has involved manual extraction from internet sources such as social media sites which are then aggregated into the format desired by the company. The Ingle content data format is well defined but the information source sites/feeds involve differing formats and internet page address locations that may change over time. Currently, the users have to manually extract the content, format, massage and aggregate them into the desired format.
The research proposes to develop an algorithm that automatically extracts the data from web sites by matching the user's actions/interest and, following rules for processing, modify the data into the desired content format. Potential changes in website/feed layouts and locations requires learning algorithms that can adapt to these changes when searching for the target content.
Benefits to Ingle International are in providing a fast, intuitive service that enhances the user's experience. This Canadian business looks to build its suite of products for both the domestic and international markets. For Canadians, the products will improve health and safety security when traveling abroad as well as encourage reductions in insurance premiums to clients using the products.