Methodologies for Designing and Evaluating Information Retrieval Experiments. Australian researchers have been highly successful in the area of information searching for more than two decades. This project will reinforce that position. By developing better measures of how retrieval systems such as web search engines perform, we will be able to advise the providers of such services on how to structure software so as to maximize the utility gained by their customers. Targeted access to the right ....Methodologies for Designing and Evaluating Information Retrieval Experiments. Australian researchers have been highly successful in the area of information searching for more than two decades. This project will reinforce that position. By developing better measures of how retrieval systems such as web search engines perform, we will be able to advise the providers of such services on how to structure software so as to maximize the utility gained by their customers. Targeted access to the right information is a goal of all organizations, regardless of their type, and improved methodologies for conducting information retrieval experiments will have widespread and tangible benefits. The techniques developed will also be applicable in fields such as document categorization, text summarization, and machine learning.Read moreRead less
Static and Dynamic Query Pruning Techniques for Complex Text Retrieval Systems. Targeted access to the right information is a goal of all organizations, regardless of their type, and improved methodologies for implementing information retrieval systems have widespread and tangible benefits. Australian researchers have been highly successful in this area of information searching for more than two decades, and this project will reinforce that position. By developing techniques for providing fast ....Static and Dynamic Query Pruning Techniques for Complex Text Retrieval Systems. Targeted access to the right information is a goal of all organizations, regardless of their type, and improved methodologies for implementing information retrieval systems have widespread and tangible benefits. Australian researchers have been highly successful in this area of information searching for more than two decades, and this project will reinforce that position. By developing techniques for providing faster search, even in the presence of complex query variants and distributed implementations, we will be able to advise the suppliers of such services on how to provide a maximally useful product.
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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
Building a Prototype for Quality Information Retrieval from the Internet. This projects aims to consider fundamental issues in implementing a prototype quality information retrieval system from the world wide web. These issues include: retrieval of relevant pages to a given topic using a focussed crawler; text categorisation of the retrieved web pages; quality selection criteria with the formulation of a quality index to determine quality of retrieved pages, and user interface design to obtain r ....Building a Prototype for Quality Information Retrieval from the Internet. This projects aims to consider fundamental issues in implementing a prototype quality information retrieval system from the world wide web. These issues include: retrieval of relevant pages to a given topic using a focussed crawler; text categorisation of the retrieved web pages; quality selection criteria with the formulation of a quality index to determine quality of retrieved pages, and user interface design to obtain relevance feedback. The outcome will be a prototype system useful to business and industry though to guide our thinking we will use issues in constructing a quality digital library collection as a sounding board.
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Building the basis for evidence-based library and information practice: a qualitative study. This project will help Australia's libraries to contribute in a more powerful way to national productivity. It will establish an empirical basis for evidence-based library and information practice that will help library and information professionals make tough decisions in an environment where there is competition for limited resources.
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
Concept learning and Structure Formation for Document Navigation. This proposal is motivated by its interest in document retrieval and
discovery using formal concept analysis. The hypothesis to be tested
is that logical structures can be automatically inferred from
a document collection using information inference and
concept learning.
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