Deep Learning with Big Data for Innovation Acceleration

Xlscout has developed/launched many products like Automated Novelty Checker, Techscaper, Company Explorer, NLP enriched Landscaper, etc. The primary objective of this project is to continuously add new functionalities to the existing novelty checker module of Xlscout and also develop new innovative products/features that help in automating research & development. This project is important to XLScout as it will provide critical components for enabling semantic patent search. Integration of intellectual property (IP) and R&D is important for active and continuous innovation as well as for risk reduction; however, there is no good way to connect IP and R&D departments. XLScout platform will provide a service to engage IP and R&D departments. The platform will assist to help XLScout customers to search patents and other related databases more smartly, taking semantics into consideration. This will also keep consumers updated about competitors through alerts.

Faculty Supervisor:

Abdelkader Ouda;Abdellah Chehri

Student:

Partner:

XLSCOUT

Discipline:

Computer science

Sector:

Information and cultural industries

University:

The University of Western Ontario; Université du Québec à Chicoutimi

Program: