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
An Ontology Driven Framework for Legal Software. Legal resources and documents are increasingly available in electronic form allowing previously impossible collaborative and searching techniques for legal practitioners. By adding extra semantic markup to legal resources and documents increased processing capabilities are enabled. These include the ability to search for resources based on there existing a conceptual link and the ability to integrate resources that use different terminology. This ....An Ontology Driven Framework for Legal Software. Legal resources and documents are increasingly available in electronic form allowing previously impossible collaborative and searching techniques for legal practitioners. By adding extra semantic markup to legal resources and documents increased processing capabilities are enabled. These include the ability to search for resources based on there existing a conceptual link and the ability to integrate resources that use different terminology. This project will enable these capabilities via the development of a novel ontology driven framework for collaborative legal software. This will allow significant efficiency gains and cost savings in the $9.5 billion Australian legal services sector.Read moreRead less
Applying Method Engineering Techniques to the Construction of Agile Methodologies. Agile approaches to software development provide flexibility within the method but provide no assistance for improving the selected method. This second kind of flexibility is important to permit organizations to improve with time. To accomplish such improvement, a method engineering approach is proposed for agile method construction using the OPEN Process Framework, which consists of a metamodel and a collection ....Applying Method Engineering Techniques to the Construction of Agile Methodologies. Agile approaches to software development provide flexibility within the method but provide no assistance for improving the selected method. This second kind of flexibility is important to permit organizations to improve with time. To accomplish such improvement, a method engineering approach is proposed for agile method construction using the OPEN Process Framework, which consists of a metamodel and a collection of method components, stored in a repository. In collaboration with Eagle Datamation International, we will devise methods of constructing an agile method tailored to their business needs and then evaluate it in practice, monitoring as the method evolves and improves.Read moreRead less
Computing with nearly-consistent data. This project will help programmers correctly use data that originates at various times and places, and spreads unevenly through a system. Computation will combine data that comes from different situations, and is not exactly consistent. Capability to develop high quality software on platforms with this feature will enhance the value of the Australian IT industry. As well, the industries which use the software benefit from correctly working with their data. ....Computing with nearly-consistent data. This project will help programmers correctly use data that originates at various times and places, and spreads unevenly through a system. Computation will combine data that comes from different situations, and is not exactly consistent. Capability to develop high quality software on platforms with this feature will enhance the value of the Australian IT industry. As well, the industries which use the software benefit from correctly working with their data. Sensor networks have data like this, and they play a vital role in environmental monitoring. Cloud computing platforms also have this type of data, and these allow smaller enterprises to grow smoothly, without needing large up-front investments in computing infrastructure.Read moreRead less
Metamodel-based Methodology for Developing Agent-Oriented Systems. In the context of building high quality software, agent technology offers substantial promise. However, its widespread deployment by industry is hampered by the lack of commercially acceptable development methodologies. Here, we expand a metamodel-based process framework (the OPEN Process Framework) to support agent-oriented (AO) software development that will eventually both form a de facto standard for AO methodologies and be ....Metamodel-based Methodology for Developing Agent-Oriented Systems. In the context of building high quality software, agent technology offers substantial promise. However, its widespread deployment by industry is hampered by the lack of commercially acceptable development methodologies. Here, we expand a metamodel-based process framework (the OPEN Process Framework) to support agent-oriented (AO) software development that will eventually both form a de facto standard for AO methodologies and be acceptable for commercial software application development. To create this extension, significant research in AO software engineering is required. Our basis will be the OPF plus elements from existing AO methodologies, notably Tropos and Gaia, whose authors will collaborate actively.Read moreRead less
Integrating deep-earth and surface processes for frontier-basin exploration. It is well-known that mantle convection has a profound influence on basin evolution, and the next step will be to quantify this relationship and provide the science that will make these concepts applicable to exploration. To do this, we will develop a workflow to link plate-reconstruction software with the mantle convection modelling to link plate motions mantle convection and the history of sedimentation systematically ....Integrating deep-earth and surface processes for frontier-basin exploration. It is well-known that mantle convection has a profound influence on basin evolution, and the next step will be to quantify this relationship and provide the science that will make these concepts applicable to exploration. To do this, we will develop a workflow to link plate-reconstruction software with the mantle convection modelling to link plate motions mantle convection and the history of sedimentation systematically for the first time for frontier basin-scale applications. We will apply these emerging technologies to the evolution of basins in the Arctic borderlands frontier for resource exploration and on the Australian continent.Read moreRead less
Efficient Techniques for Mining Exceptional Patterns. This research will develop totally new techniques for exceptional pattern discovery that are useful for deeper understanding data mining and capturing the hidden interactions (class-bridge rules and out-expectation patterns) within data. This will enable Australian data marketers to access valuable implicit information that is contained in their data, but not currently accessible. The outcomes will keep Australia in the international leading ....Efficient Techniques for Mining Exceptional Patterns. This research will develop totally new techniques for exceptional pattern discovery that are useful for deeper understanding data mining and capturing the hidden interactions (class-bridge rules and out-expectation patterns) within data. This will enable Australian data marketers to access valuable implicit information that is contained in their data, but not currently accessible. The outcomes will keep Australia in the international leading edge and preserve its competitive status in preemptively defining the information market of tomorrow. To 'Frontier Technologies for Building and Transforming Australian Industries', discovering new exceptional patterns within data will lead to increased efficiency in Australian Industries.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL0992245
Funder
Australian Research Council
Funding Amount
$3,088,350.00
Summary
The Virtual Geological Observatory: a four dimensional view into the Earth through deep-time data-mining. The Fellowship aims to reveal the underlying processes of plate tectonic cycles, paleogeography, sea-level change and the formation of ore deposits and hydrocarbon resources since the explosion of life during the Cambrian period. Using a mantle convection framework, we will discover how the cyclicity in mid-ocean ridge creation and the subduction dynamics associated with the aggregation and ....The Virtual Geological Observatory: a four dimensional view into the Earth through deep-time data-mining. The Fellowship aims to reveal the underlying processes of plate tectonic cycles, paleogeography, sea-level change and the formation of ore deposits and hydrocarbon resources since the explosion of life during the Cambrian period. Using a mantle convection framework, we will discover how the cyclicity in mid-ocean ridge creation and the subduction dynamics associated with the aggregation and dispersal of Gondwana and Pangea has been driving plate tectonic cycles and cyclicity at the Earth's surface. A Virtual Geological Observatory will transform our understanding of this ancient world by fusing geodata-mining and high-performance computer simulation outputs in the plate-tectonic context.Read moreRead less
Efficient Strategies for Mining Negative Association Rules. Negative association rules (NAR) catch mutually-exclusive correlations
among items. They play important roles just as traditional association
rules (TAR) do. For example, in stock market surveillance based on alert logs, NARs detect which alerts are false. There are essential differences between mining TARs and NARs because NARs are hidden in infrequent itemsets. This research will develop efficient strategies for mining NARs in datab ....Efficient Strategies for Mining Negative Association Rules. Negative association rules (NAR) catch mutually-exclusive correlations
among items. They play important roles just as traditional association
rules (TAR) do. For example, in stock market surveillance based on alert logs, NARs detect which alerts are false. There are essential differences between mining TARs and NARs because NARs are hidden in infrequent itemsets. This research will develop efficient strategies for mining NARs in databases. These strategies are expected to be about ten times faster than existing ones. This project will deliver database-independent and high-performance mining algorithms for decision-making. The results can benefit Australian marketing and financial companies as well as health and security departments for smart information use.Read moreRead less
Multiple Data Source Discovery: Group Interaction Approach. This project will develop new technology and theory to identify and evaluate incomplete data. It will deliver a high-performance group-interaction based global pattern discovery system that enables decision-makers (like doctors) to access valuable implicit information that is contained in their data but not currently accessible. Mining group interactions will greatly extend the scope of pattern discovery and new product evaluation. The ....Multiple Data Source Discovery: Group Interaction Approach. This project will develop new technology and theory to identify and evaluate incomplete data. It will deliver a high-performance group-interaction based global pattern discovery system that enables decision-makers (like doctors) to access valuable implicit information that is contained in their data but not currently accessible. Mining group interactions will greatly extend the scope of pattern discovery and new product evaluation. The outcomes of the project will lead to better diagnostic decisions and will lead to increased efficiency in Australian Industries.Read moreRead less