Efficient Similarity Query Processing in High Dimensional Databases. This project studies a fundamental problem common to a wide range of applications. It contributes to smart use of information, which is vital to the modern knowledge-based economy, by providing an enabling technology to capitalise Australia's huge investment in data collection. Our research is right in the forefront of ICT research, leading the international effort of extending database technologies to support data management a ....Efficient Similarity Query Processing in High Dimensional Databases. This project studies a fundamental problem common to a wide range of applications. It contributes to smart use of information, which is vital to the modern knowledge-based economy, by providing an enabling technology to capitalise Australia's huge investment in data collection. Our research is right in the forefront of ICT research, leading the international effort of extending database technologies to support data management and query processing for very large and highly complex data.Read moreRead less
Context Exploration: An Effective Way to Enhance Duplication Detection. As a vital data quality problem, effective duplication detection has practical significance in data management, in particular in large scale information systems such as in business, health and national security. This project aims to be a unique value to virtually every information systems by providing a general, domain-independent framework which is comprehensive to significantly improve the duplication detection. The develo ....Context Exploration: An Effective Way to Enhance Duplication Detection. As a vital data quality problem, effective duplication detection has practical significance in data management, in particular in large scale information systems such as in business, health and national security. This project aims to be a unique value to virtually every information systems by providing a general, domain-independent framework which is comprehensive to significantly improve the duplication detection. The developed cutting-edge technologies are potential to be a new direction of data duplication detection study. This project will allow us to avail an opportunity to promote Australia's capability in developing sophisticated technologies and are potential to add to Australia's profile in this area. Read moreRead less
Effective and Efficient Keyword Search in Relational Databases. Effective and efficient management of information, including textual information, is at the heard of ICT objectives and requirements global wide. The project aims to be of unique value to vitually all Australian industries by providing easier and better information access to their business data. The research conducted in this project will position Australia as one of the leaders in the database and information retrieval research. Th ....Effective and Efficient Keyword Search in Relational Databases. Effective and efficient management of information, including textual information, is at the heard of ICT objectives and requirements global wide. The project aims to be of unique value to vitually all Australian industries by providing easier and better information access to their business data. The research conducted in this project will position Australia as one of the leaders in the database and information retrieval research. The project outcomes in the form of algorithms and systems will provide powerful solutions that are applicable to many Australian and international organisations. It will will also encourage more ICT within Australia and worldwide.Read moreRead less
Special Research Initiatives - Grant ID: SR0567319
Funder
Australian Research Council
Funding Amount
$145,000.00
Summary
DADA-HCS: Distributed Access and Data Annotation for the Human Communication Sciences. This project aims to build a National storage network for human
communication sciences data which will enable subscribers to
publish their own data and make use of data provided by other subscribers or third party suppliers. The network will provide infrastructure for rights management of data, in particular making sure that any original conditions on the collection and publication of data are respected. T ....DADA-HCS: Distributed Access and Data Annotation for the Human Communication Sciences. This project aims to build a National storage network for human
communication sciences data which will enable subscribers to
publish their own data and make use of data provided by other subscribers or third party suppliers. The network will provide infrastructure for rights management of data, in particular making sure that any original conditions on the collection and publication of data are respected. The project will support collaborative annotation of data stored in the network so its use can be maximised across disciplines.
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Efficient Algorithms for In-memory Sorting, Searching and Indexing on Modern Multi-core Cache-based and Graphics Processor Architectures. This project clearly belongs to one of the national research priority
goals, Smart Information Use. The copy-based techniques and work on sorting and searching will considerably impact the development of in-memory algorithms in cutting-edge computer architectures. Efficient suffix trees and suffix sorting have myriad applications in string-processing and will ....Efficient Algorithms for In-memory Sorting, Searching and Indexing on Modern Multi-core Cache-based and Graphics Processor Architectures. This project clearly belongs to one of the national research priority
goals, Smart Information Use. The copy-based techniques and work on sorting and searching will considerably impact the development of in-memory algorithms in cutting-edge computer architectures. Efficient suffix trees and suffix sorting have myriad applications in string-processing and will be of high interest to bioinformatics companies. The sortdex project will develop novel algorithms that will be used by enterprise search engine companies to develop applications for libraries and organisations dealing with large databases. Algorithms using the graphics processor as a co-processor have important applications in the high-growth field of computer graphics and games. Read moreRead less
Analyzing Uncertain Data: Probabilistic Approaches. The expected research outcome includes siginificantly technical contributions to the uncertain data analysis technology development by supporting probablistic query procesing. The proposed systematic, algorithm and database centric approach to investigate the novel, ubiquitous problems will lead to a greater support, from the database community, to the advanced real applications, and creating new opportunities for the IT industry. The success o ....Analyzing Uncertain Data: Probabilistic Approaches. The expected research outcome includes siginificantly technical contributions to the uncertain data analysis technology development by supporting probablistic query procesing. The proposed systematic, algorithm and database centric approach to investigate the novel, ubiquitous problems will lead to a greater support, from the database community, to the advanced real applications, and creating new opportunities for the IT industry. The success of this project will not only further enhance us as an internationally leading research group in uncertain data analysis and provide training for high quality personnel in this important and growing area but also bring considerable economic and social benefits to Australia.Read moreRead less
Effective Information Retrieval for Partitioned Document Collections. Current information retrieval services make use of massive indexes in order to resolve content-based queries. Monolithic approaches like this have been effective until now because the volume of data stored has been manageable on a single machine or tightly-coupled cluster of machines, and because the data has been available for collection. But with an increasing amount of automatically generated data, and an increasing diversi ....Effective Information Retrieval for Partitioned Document Collections. Current information retrieval services make use of massive indexes in order to resolve content-based queries. Monolithic approaches like this have been effective until now because the volume of data stored has been manageable on a single machine or tightly-coupled cluster of machines, and because the data has been available for collection. But with an increasing amount of automatically generated data, and an increasing diversity of information sources, other approaches are required. In this project we will investigate mechanisms for handling retrieval tasks when the indexes to the data are stored locally with the data, and when no central index is viable.Read moreRead less
Conceptual Knowledge Processing. The aim of this collaboration between Computer Science and Mathematics disciplines is to develop a theoretical, methodological and practical understanding of how to support a range of tasks concerning conceptual knowledge processing. The view of the project is that knowledge processing takes place primarily in the human mind and that human communication can only be effectively supported by appropriate design means and devices. Developing prototype software that d ....Conceptual Knowledge Processing. The aim of this collaboration between Computer Science and Mathematics disciplines is to develop a theoretical, methodological and practical understanding of how to support a range of tasks concerning conceptual knowledge processing. The view of the project is that knowledge processing takes place primarily in the human mind and that human communication can only be effectively supported by appropriate design means and devices. Developing prototype software that demonstrates these devices in practical domains continues to be a key feature of the collaboration that benefits from existing DFG (Deutsche Forschungsgemeinschaft) support and has been on going since 1999.Read moreRead less