Discovery Projects - Grant ID: DP140103157

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP140103157

Funding Status
Closed

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Funded Activity Summary

Learning Specific Ontology for Un-Supervised Text Classification. The dramatic rise in massive text data has led to an increasing number of challenges in scalability and noisy information. Supervised classification has become expensive and time consuming as acquiring training sets for a large number of categories becomes more complex and classifiers are sensitive to data. Un-supervised classification has become an attractive alternative given it does not require training sets. However, un-supervised classification is still complex and there is a gap between understanding of concepts and features. This project aims to exploit domain ontology to find specific ontology which can bridge the gap, leading to a breakthrough for un-supervised classification. It provides foundations for classifying big text data.

Funded Activity Details

Start Date: 15-10-2014

End Date: 30-06-2020

Funding Scheme: Discovery Projects

Funding Amount: $300,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Artificial Intelligence and Image Processing not elsewhere classified | Pattern Recognition and Data Mining | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Application Software Packages (excl. Computer Games) | Information Processing Services (incl. Data Entry and Capture) |

Other Keywords

Application Software Packages (excl. Computer Games) | Artificial Intelligence and Image Processing | Artificial Intelligence and Image Processing not elsewhere classified | Information Processing Services (incl. Data Entry and Capture) | Pattern Recognition and Data Mining

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