Discovery Early Career Researcher Award - Grant ID: DE210100160

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE210100160

Funding Status
Active

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Funded Activity Summary

Information Extraction from Large-scale Low-quality Data. Information extraction which identifies entities and relations from data is a key technology that lays the foundation for understanding the semantics of data. This project aims to investigate the problem of information extraction by innovatively exploring the informality and temporal evolution of data. It expects to develop novel techniques for reliable, efficient, and scalable information discovery from large-scale low-quality data. Expected outcomes include a set of collective, contextualised, and temporal-aware algorithms for information extraction and integration, built on top of effective indexing and in-parallel processing. This project is anticipated to benefit a considerable number of data-driven intelligence-based applications.

Funded Activity Details

Start Date: 01-01-2021

End Date: 31-12-2023

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $423,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Information Systems | Database Management | Global Information Systems |

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences | Application Tools and System Utilities | Electronic Information Storage and Retrieval Services

Other Keywords

Application Tools and System Utilities | Database Management | Electronic Information Storage and Retrieval Services | Expanding Knowledge in the Information and Computing Sciences | Global Information Systems | Information Systems

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