Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
Frequent Google users may be familiar with the knowledge graph ? it is what creates the visual display of key information related to a search query, often shown at the top of the page. The knowledge graph a store of information built up by organizing extracted information from various websites and grouping related material under their respective topics. However, these knowledge graphs are not infallible; because the graphs are built computationally and thus lack the robustness of human interpretation, if the text is written in an unusual manner, it is entirely possible to have incorrect information in the graph. This incorrect information is referred to as noise. The purpose of this project is to create a computer algorithm to better parse and interpret text, to lower the amount of noise entered into knowledge graphs. This algorithm will also be trained on human-computed (thus noiseless) knowledge graphs to increase its effectiveness.
University of British Columbia
Find the perfect opportunity to put your academic skills and knowledge into practice!Find Projects
The strong support from governments across Canada, international partners, universities, colleges, companies, and community organizations has enabled Mitacs to focus on the core idea that talent and partnerships power innovation — and innovation creates a better future.