Data Mining by Clustering in Very Large Relational Databases. Many commercial and governmental entities possess very large relational data that cannot be feasibly analyzed by today's computers, e.g., gene expression data, product usage databases and telecommunication call records. The clustering tools developed in this project will have a significant benefit on many business processes that involve clustering this type of data, such as fraud detection and market segmentation.
Long-term Cloud Service Composition. This project proposes an economic model-based framework for the selection and composition of cloud services, thus creating an efficient market for cloud consumers and providers. The project will use economic models that incorporate a range of quality of service (QoS) parameters as a key driver for optimising the selection of cloud services and the acceptance of consumer requests. The main outcomes of this project aim to increase efficiencies in the cloud mark ....Long-term Cloud Service Composition. This project proposes an economic model-based framework for the selection and composition of cloud services, thus creating an efficient market for cloud consumers and providers. The project will use economic models that incorporate a range of quality of service (QoS) parameters as a key driver for optimising the selection of cloud services and the acceptance of consumer requests. The main outcomes of this project aim to increase efficiencies in the cloud market, benefiting consumers and providers.Read moreRead less
Automated Interaction Technologies for Mobile Hand-held Devices. This project is concerned with developing intelligent technologies that support human interaction through handheld devices, connected to wireless digital networks. Intelligent software assistants running on these devices will interact with one another in order to coordinate the activities of multiple users. Such automated coordination may facilitate scheduling of meetings, collaboration among different members of a team, and negoti ....Automated Interaction Technologies for Mobile Hand-held Devices. This project is concerned with developing intelligent technologies that support human interaction through handheld devices, connected to wireless digital networks. Intelligent software assistants running on these devices will interact with one another in order to coordinate the activities of multiple users. Such automated coordination may facilitate scheduling of meetings, collaboration among different members of a team, and negotiating conflicts that may arise between the activities of different connected users. This will enable context-dependent task support and coordination of workers involved in industrial applications involving mobility and dynamism.Read moreRead less
Service-oriented negotiation and coordination in multi-agent systems. Australia has a strong competitive advantage in the area of agent software. The outcomes of this project will provide an improved platform for services in application areas such as finance, e-commerce, tourism, and multi-platform media. More broadly, the work proposed here will enable the IT industry in Australia, and Melbourne specifically, to adopt and utilise agent-technology in developing the complex software that is inc ....Service-oriented negotiation and coordination in multi-agent systems. Australia has a strong competitive advantage in the area of agent software. The outcomes of this project will provide an improved platform for services in application areas such as finance, e-commerce, tourism, and multi-platform media. More broadly, the work proposed here will enable the IT industry in Australia, and Melbourne specifically, to adopt and utilise agent-technology in developing the complex software that is increasingly required to meet the needs of the software-driven knowledge economy of the 21st century.Read moreRead less
An integrated and real-time passenger travel and public transport service information system. This project will help the Department of Transport provide improved services to the public through a better understanding of journey planning demands in comparison to public transport services. By integrating research through design methods with technological solutions, the project will deliver better quality of service and higher customer satisfaction.
Flexible and Robust Protocol-Based Interaction between Agents in Open Systems. There has been much discussion of the importance of software agents for supporting a wide variety of interaction between businesses and individuals over the internet. Important applications include e-commerce and b2b applications. For the potential of software agents to be realised in open systems, issues of flexibility, robustness, and extensibility are critical. This project addresses the development of flexible ....Flexible and Robust Protocol-Based Interaction between Agents in Open Systems. There has been much discussion of the importance of software agents for supporting a wide variety of interaction between businesses and individuals over the internet. Important applications include e-commerce and b2b applications. For the potential of software agents to be realised in open systems, issues of flexibility, robustness, and extensibility are critical. This project addresses the development of flexible and powerful mechanisms for interaction, within the context of FIPA (Foundation for Intelligent Physical Agents) standards. The project uses FIPA's Agentcities as a test bed, enabling us to build on and co-operate with a large European project starting mid 2001.Read moreRead less
IMPROVING METEOROLOGICAL FORECASTING PRACTICE WITH KNOWLEDGE MANAGEMENT SYSTEMS. This research aims to improve meteorological services through the application of knowledge management to the forecast process. A comprehensive framework of knowledge management will be developed that includes models of forecasters? explicit, tacit and experiential knowledge. Such models allow forecasters to share knowledge and learn from their collective experience. The development of computer based support systems, ....IMPROVING METEOROLOGICAL FORECASTING PRACTICE WITH KNOWLEDGE MANAGEMENT SYSTEMS. This research aims to improve meteorological services through the application of knowledge management to the forecast process. A comprehensive framework of knowledge management will be developed that includes models of forecasters? explicit, tacit and experiential knowledge. Such models allow forecasters to share knowledge and learn from their collective experience. The development of computer based support systems, based on this framework, will enhance the Bureau of Meteorology's ability to compete internationally in the provision of complete forecasting systems. Generalising the outcomes will provide industry with the means to adopt knowledge management practices and enhance its ability to participate in the knowledge economy. Read moreRead less
Structured natural language descriptions for semantic content retrieval of visual data. The richness of visual data complicates the task of indexing their content for database retrieval. Retrieval based on semantic content is more natural than retrieval based on textures or colours but the most common approach - keyword search - lacks precision, while a newer approach - automatic parsing of free-text descriptions - lacks accuracy. We propose a system of metadata and content descriptions, where c ....Structured natural language descriptions for semantic content retrieval of visual data. The richness of visual data complicates the task of indexing their content for database retrieval. Retrieval based on semantic content is more natural than retrieval based on textures or colours but the most common approach - keyword search - lacks precision, while a newer approach - automatic parsing of free-text descriptions - lacks accuracy. We propose a system of metadata and content descriptions, where content descriptions must be phrases composed of basic grammatical terms. Description components may be elements from external resources such as thesauri and databases, providing a rich superstructure for meaningful retrieval of visual data by semantic content.Read moreRead less
Efficient Prediction of Application Metrics for E-Services. Application Service Providers (ASPs) are one of the fastest growing classes of e-services and operate on the principle of renting software applications. This project aims to develop prediction techniques to estimate quality of service metrics for ASPs. The efficient prediction of the service levels that can be ensured is challenging given the dynamic nature of the Internet and the semantics of application metrics not being formally defi ....Efficient Prediction of Application Metrics for E-Services. Application Service Providers (ASPs) are one of the fastest growing classes of e-services and operate on the principle of renting software applications. This project aims to develop prediction techniques to estimate quality of service metrics for ASPs. The efficient prediction of the service levels that can be ensured is challenging given the dynamic nature of the Internet and the semantics of application metrics not being formally defined. The project will result in the development of a prototype system to support prediction of service levels. This system will be accessible to the Australian e-services industry via a web interface.Read moreRead less
Emergence of robust, stable structures via computation within natural networks. An ever-increasing challenge for modern society is the sheer complexity of vast infrastructures. Unexpected, and sometimes catastrophic, behaviour often emerges from interactions between elements of large systems. As a result, highly complex systems such as the Internet, international finance markets, and power grids are highly susceptible to costly problems such as cascading failures, inefficiency, and critical sens ....Emergence of robust, stable structures via computation within natural networks. An ever-increasing challenge for modern society is the sheer complexity of vast infrastructures. Unexpected, and sometimes catastrophic, behaviour often emerges from interactions between elements of large systems. As a result, highly complex systems such as the Internet, international finance markets, and power grids are highly susceptible to costly problems such as cascading failures, inefficiency, and critical sensitivity. High-tech industries, such as biotechnology and information networking, also face problems in coordinating swarms of interacting agents. This project will contribute to solving such problems by identifying and adapting solutions from nature.Read moreRead less