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
Special Research Initiatives - Grant ID: SR0354476
Funder
Australian Research Council
Funding Amount
$20,000.00
Summary
Intelligent Applications Through The Semantic Web. The primary aim of the proposed bid is to build a network of Australian researchers and their international peers for condresearch into the fundamental as well as applied aspects of the Semantic Web. By incorporating meaning of web-content in a form that can be accessed and processed by intelligent software agents, the Semantic Web will allow computers and humans to work in cooperation. This research will address the needs of both the Australian ....Intelligent Applications Through The Semantic Web. The primary aim of the proposed bid is to build a network of Australian researchers and their international peers for condresearch into the fundamental as well as applied aspects of the Semantic Web. By incorporating meaning of web-content in a form that can be accessed and processed by intelligent software agents, the Semantic Web will allow computers and humans to work in cooperation. This research will address the needs of both the Australian government and industry that provide and make smart use of information available on the Web. It will ensure Australian preparedness for the next-generation web technology.Read moreRead less
Agent-based coordination and negotiation technologies for decentralised service workflow management. This project will enhance the nation's expertise in ICT in general and smart information use in particular. In the real world, process management is a key issue in any workplace organisation which needs to be supported by workflow systems, particularly in this Internet and Web services era. This project will develop an innovative framework and the corresponding technologies for service workflow m ....Agent-based coordination and negotiation technologies for decentralised service workflow management. This project will enhance the nation's expertise in ICT in general and smart information use in particular. In the real world, process management is a key issue in any workplace organisation which needs to be supported by workflow systems, particularly in this Internet and Web services era. This project will develop an innovative framework and the corresponding technologies for service workflow management. The research will assist many organisations to effectively develop and deliver more efficient, reliable, flexible and adaptive business applications. Consequently, this will enhance the ability of many Australian organisations to run more productively and more competitively.Read moreRead less
Adaptive data stream processing in heterogeneous distributed computing environments using real-time context. This project falls within the ARC research priority goal, Smart Information Use. The innovative contributions of this project through the development of adaptive data stream mining algorithms for heterogeneous devices will have an impact on a range of emerging application areas such as:
1. Meeting time-critical, intelligent information needs of the mobile workforce (e.g. mobile healthca ....Adaptive data stream processing in heterogeneous distributed computing environments using real-time context. This project falls within the ARC research priority goal, Smart Information Use. The innovative contributions of this project through the development of adaptive data stream mining algorithms for heterogeneous devices will have an impact on a range of emerging application areas such as:
1. Meeting time-critical, intelligent information needs of the mobile workforce (e.g. mobile healthcare professionals, stockbrokers). 2. Improving Intelligent Transportation Systems via in-vehicle analysis and crash prevention. 3. Facilitating 'on-board' analysis in sensors that monitor the environment and patients. The project will enhance Australia's leading international role in the area of data stream processing in distributed computing environments.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
Practical methodologies for agent-oritented conceptual modelling. Conceptual modelling involves using knowledge representation techniques to support the requirements engineering phase of the software life-cycle. Agent-oriented conceptual modelling is a relatively new technique that offers significant benefits in modelling complex organisational information systems. However, several problems need to be addressed with current agent-oriented conceptual modelling languages and methodologies. In the ....Practical methodologies for agent-oritented conceptual modelling. Conceptual modelling involves using knowledge representation techniques to support the requirements engineering phase of the software life-cycle. Agent-oriented conceptual modelling is a relatively new technique that offers significant benefits in modelling complex organisational information systems. However, several problems need to be addressed with current agent-oriented conceptual modelling languages and methodologies. In the context of a PhD dissertation, this project will develop an improved agent-oriented conceptual modelling framework and related requirements elicitation techniques drawing on advances in Artificial intelligenct, Requireents Engineering and Organisational Semiotics. The practical deliverables of this project will address the needs of a large complex government organisation.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 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
Effective Techniques and Methodologies for Multi-Database Mining. This project develops a high-performance multi-database mining system. This project is significant because (1) it is imperative due to a great deal of multi-databases widely used in organizations; (2) it is difficult due to essential differences between mono- and multi-databases; (3) existing multi-database mining techniques are inadequate; and (4) the new mining strategies in this project can make a vast improvement of the abilit ....Effective Techniques and Methodologies for Multi-Database Mining. This project develops a high-performance multi-database mining system. This project is significant because (1) it is imperative due to a great deal of multi-databases widely used in organizations; (2) it is difficult due to essential differences between mono- and multi-databases; (3) existing multi-database mining techniques are inadequate; and (4) the new mining strategies in this project can make a vast improvement of the ability and performance of multi-database mining systems. The expected outcomes are: an application-independent database classification, a local instance analysis and a prototype system. These proposed techniques are innovative, effective and efficient in identifying novel patterns from multi-databases.Read moreRead less