Objective
The principal aim of this project is to develop and apply revolutionary graphics rendering and artificial intelligence (AI) methods to an existing social media search engine platform (known as Tapastreet) thereby creating ground breaking mobile search capabilities with significant online commercial potential.
Specifically these goals will be achieved by meeting the following Scientific & Technological Objectives – (a) the creation of dynamic graphics rendering algorithms (b) the development of powerful location based AI machine learning algorithms and (c) integration of both these technologies into a live geo-located social media search engine.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- social sciencesmedia and communicationsgraphic design
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
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Call for proposal
FP7-PEOPLE-2013-IAPP
See other projects for this call
Funding Scheme
MC-IAPP - Industry-Academia Partnerships and Pathways (IAPP)Coordinator
D02 CX56 Dublin
Ireland