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
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.
Harmonized Messaging - A New Foundation for Automated Process Communication. Process communication, especially in web environments is characterized by complex interactions between heterogeneous and autonomous systems within the enterprise and often between trading partners. An overwhelming number of initiatives and proposals are underway to provide solutions for process specification and communication. However, the focus is often on defining APIs rather than the semantics of the underlying messa ....Harmonized Messaging - A New Foundation for Automated Process Communication. Process communication, especially in web environments is characterized by complex interactions between heterogeneous and autonomous systems within the enterprise and often between trading partners. An overwhelming number of initiatives and proposals are underway to provide solutions for process specification and communication. However, the focus is often on defining APIs rather than the semantics of the underlying message exchange. We see a great potential in changing the current messaging infrastructure to suit its new role in facilitating complex, long running interactions for collaborative processes operating in a decentralized environment. This envisaged next generation of messaging technology will extend its ability to support dynamic business processes in a web-centric environment. Providing a level of harmonisation to multiple messages to form a single custom definable backbone of a newly formed message stream, creates a highly challenging new research direction. There is a strong potential that the project outcomes will present a new way of overcoming well understood difficulties in dealing with multiple communicating processes owned by different partners and executing on disparate systems.Read moreRead less
A New Formal Framework for Service Oriented Process Communication. Cross organizational communication in current business environments is highly dynamic, process driven and web centric. The web services paradigm is emerging as a powerful new technology solution to facilitate complex interactions between heterogeneous and autonomous systems within the enterprise and often between trading partners. Although the industry is inundated with initiatives on web services, most are heavily focussed on th ....A New Formal Framework for Service Oriented Process Communication. Cross organizational communication in current business environments is highly dynamic, process driven and web centric. The web services paradigm is emerging as a powerful new technology solution to facilitate complex interactions between heterogeneous and autonomous systems within the enterprise and often between trading partners. Although the industry is inundated with initiatives on web services, most are heavily focussed on the underlying specification platforms and technology components. We see a great need and potential for developing a formal framework for service oriented process communication. The design of such a formal framework is the focus of this project. Project outcomes not only hold great potential to contribute to fundamental research questions in process specification, validation and ontological evaluation, but will also deliver significant impact on related technologies of messaging middleware, integration platforms and workflow management systems.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100160
Funder
Australian Research Council
Funding Amount
$423,000.00
Summary
Information Extraction from Large-scale Low-quality Data. Information extraction which identifies entities and relations from data is a key technology that lays the foundation for understanding the semantics of data. This project aims to investigate the problem of information extraction by innovatively exploring the informality and temporal evolution of data. It expects to develop novel techniques for reliable, efficient, and scalable information discovery from large-scale low-quality data. Expe ....Information Extraction from Large-scale Low-quality Data. Information extraction which identifies entities and relations from data is a key technology that lays the foundation for understanding the semantics of data. This project aims to investigate the problem of information extraction by innovatively exploring the informality and temporal evolution of data. It expects to develop novel techniques for reliable, efficient, and scalable information discovery from large-scale low-quality data. Expected outcomes include a set of collective, contextualised, and temporal-aware algorithms for information extraction and integration, built on top of effective indexing and in-parallel processing. This project is anticipated to benefit a considerable number of data-driven intelligence-based applications.Read moreRead less
QualA-D: a quality aware query engine for next generation data integration systems. This project will address the growing diversity of the web/user community by developing new approaches for data integration that incorporate data quality requirements such as data currency, completeness and coverage. First-of-breed quality aware query system is expected to be developed that will assist in improving user experience and satisfaction.