Scalable Composition and Deployment of Business-to-Business Web-based E-Services. The ubiquity of the Internet offers far reaching opportunities for
emerging Web applications. Separate businesses may be linked into a virtual enterprise that provides a one-stop shop for users. However, there is no model available for managing electronically accessible
services (e-services) in a systematic manner which make them easy to compose and deploy. Our research proposes to address the fundamental issue ....Scalable Composition and Deployment of Business-to-Business Web-based E-Services. The ubiquity of the Internet offers far reaching opportunities for
emerging Web applications. Separate businesses may be linked into a virtual enterprise that provides a one-stop shop for users. However, there is no model available for managing electronically accessible
services (e-services) in a systematic manner which make them easy to compose and deploy. Our research proposes to address the fundamental issues related to fast and scalable composition of e-services in Web-based environments. We propose novel concepts for integrating a large number of dynamic and loosely coupled services. Another distinctive feature of our approach is the peer-to-peer collaborative execution of services.Read moreRead less
Real-time and self-adaptive stream data analyser for intensive care management. The clinical benefit of this project will be in improved success rates and reduced mortality and risk in surgery and intensive care units. The Information and communication technology (ICT) benefit of this project is associated with the novel online algorithms and models aligned with the stream data research, and will be enhanced by our stream compression techniques. The stream data analyser developed in this projec ....Real-time and self-adaptive stream data analyser for intensive care management. The clinical benefit of this project will be in improved success rates and reduced mortality and risk in surgery and intensive care units. The Information and communication technology (ICT) benefit of this project is associated with the novel online algorithms and models aligned with the stream data research, and will be enhanced by our stream compression techniques. The stream data analyser developed in this project will be suitable for more than medical surveillance data; it will also improve the processing of other kinds of massive stream data (for example data from remote sensors, communication networks and other dynamic environments). The project involves a scientifically rich collaboration that will enhance the skills of PhD students and staff and drive the field forward.Read moreRead less
An Integrated Infrastructure for Dynamic and Large Scale Supply Chain. Efficient and scalable middlewares are an important part of our current competitive economy. This is particularly important in Australia where production and population centres are spread over large distances. As a result, inefficiencies in web-based disparate businesses are likely to have a strong impact on the national economy. This project will provide an integrated framework and solutions to urgently needed integration ....An Integrated Infrastructure for Dynamic and Large Scale Supply Chain. Efficient and scalable middlewares are an important part of our current competitive economy. This is particularly important in Australia where production and population centres are spread over large distances. As a result, inefficiencies in web-based disparate businesses are likely to have a strong impact on the national economy. This project will provide an integrated framework and solutions to urgently needed integration problems faced by current industries. The development of a reliable and flexible infrastructure will benefit small and medium-scale enterprises, as they will be able to participate in large-scale supply chains and expand their business, without having to invest in expensive new computer systems and software.Read moreRead less
Designing an Efficient and Scalable Infrastructure for Mobile Web Services. Mobile services (M-Services) are rapidly growing due to enormous proliferation of web services and of the wireless networks. However, because of the high dynamic nature of the Internet as well as the specific requirements of mobile environments, existing M-services have limitations as they lack support for flexible transactions. The aim of this project is to design an efficient mobile transaction-based infrastructure to ....Designing an Efficient and Scalable Infrastructure for Mobile Web Services. Mobile services (M-Services) are rapidly growing due to enormous proliferation of web services and of the wireless networks. However, because of the high dynamic nature of the Internet as well as the specific requirements of mobile environments, existing M-services have limitations as they lack support for flexible transactions. The aim of this project is to design an efficient mobile transaction-based infrastructure to support highly adaptable M-Services. This infrastructure will provide robust and efficient management of business transactions across different enterprises. The outcomes of this project will include a set of advanced techniques and algorithms that will form the basis of the next generation of mobile web services.Read moreRead less
Designing a Scalable and Robust Infrastructure for Highly Dynamic Web Services. Web services are modular Internet-based applications that communicate with one another over the Internet. However, because of the high dynamic nature of the Internet, existing web services have profound limitations as they lack the support of semantic-based service discovery and dynamic service composition. This project aims at designing a robust and scalable infrastructure to support highly dynamic web services. Thi ....Designing a Scalable and Robust Infrastructure for Highly Dynamic Web Services. Web services are modular Internet-based applications that communicate with one another over the Internet. However, because of the high dynamic nature of the Internet, existing web services have profound limitations as they lack the support of semantic-based service discovery and dynamic service composition. This project aims at designing a robust and scalable infrastructure to support highly dynamic web services. This infrastructure will provide an adaptive e-business platform enabling optimal integration of enterprise' complex business processes across external systems and third party applications. The outcomes will be a set of advanced techniques and algorithms that will form the basis of the next generation of e-business solutions.Read moreRead less
Approaching the limits in Data Quality Management. The impact of data quality has acquired new heights in the current climate of global information systems, triggering the attention of researchers and software vendors. However, some fundamental questions are neglected in current solutions, allowing us to avail an opportunity to promote Australia's capability in developing cutting edge technologies that have the capacity to make dramatic impact on success of technology solutions. Focus on explori ....Approaching the limits in Data Quality Management. The impact of data quality has acquired new heights in the current climate of global information systems, triggering the attention of researchers and software vendors. However, some fundamental questions are neglected in current solutions, allowing us to avail an opportunity to promote Australia's capability in developing cutting edge technologies that have the capacity to make dramatic impact on success of technology solutions. Focus on exploring the limitations and providing a grounded understanding of data quality management has potential to significantly add to Australia's research profile. The project will also provide a conducive environment for students to gain high quality research experience. Read moreRead less
Detection of location significance from quality enhanced trajectory data. This project aims to develop effective and efficient methods to utilise large scale Global Positioning System, route and location data to provide individuals, business, government and social groups, the ability to assess the relative significance of locations and associated services, for use in applications such as transportation, logistics, public safety, tourism and utilities.
In-memory moving objects analytics for real-time business applications. This project aims to develop a novel computing foundation based on in-memory technologies to address significant challenges of big data and location-based business intelligence, building upon the well-recognised research excellence in spatiotemporal data management at the University of Queensland, and HANA, SAP's (Systems, Applications, Products in data processing) new in-memory analytics platform.
Declaration, Exploration, Enhancement and Provenance: The DEEP Approach to Data Quality Management Systems. The project proposes the Declaration, Exploration, Enhancement, Provenance (DEEP) approach to data quality management. The approach adopts a whole-of-data-cycle view towards addressing complex and emerging problems in data quality management and aims to develop novel and comprehensive mechanisms to improve data quality measurement, enforcement and monitoring. Due to the application-centric ....Declaration, Exploration, Enhancement and Provenance: The DEEP Approach to Data Quality Management Systems. The project proposes the Declaration, Exploration, Enhancement, Provenance (DEEP) approach to data quality management. The approach adopts a whole-of-data-cycle view towards addressing complex and emerging problems in data quality management and aims to develop novel and comprehensive mechanisms to improve data quality measurement, enforcement and monitoring. Due to the application-centric nature of DEEP, the outcomes from the project are expected to increase user understanding of data characteristics, improve interpretability of information derived from large, multi-source data sets and contribute to enhancement of data literacy levels in involved user communities. Read moreRead less
View-based processing of pattern matching queries in large graphs. Graph data exist ubiquitously in modern information systems. Graph pattern matching (GPM) finds parts of the data graph that match a given pattern. It has applications in many areas including knowledge discovery, public health, and crime detection. This project will develop novel techniques for the efficient processing of GPM queries in large graphs.