A data driven paradigm for service-oriented system engineering. This project aims to design and develop a data driven paradigm for service-oriented system engineering that allows system engineers and domain experts in different domains to build software systems easily in order to enable fast technology transfer within and across domain boundaries. This model integrates and automates a suite of efficient approaches for system structure determination, validation and recommendation based on keyword ....A data driven paradigm for service-oriented system engineering. This project aims to design and develop a data driven paradigm for service-oriented system engineering that allows system engineers and domain experts in different domains to build software systems easily in order to enable fast technology transfer within and across domain boundaries. This model integrates and automates a suite of efficient approaches for system structure determination, validation and recommendation based on keyword search, subgraph isomorphism and substructure query techniques. This project is expected to significantly accelerate the application of new technologies, for example, big data analytics and Internet of Things, in many of Australia's critical domains such as e-Health, smart cities, and cybersecurity.Read moreRead less
Special Research Initiatives - Grant ID: SR0567393
Funder
Australian Research Council
Funding Amount
$100,000.00
Summary
Infrastructure for large-scale data resource sharing between research institutions – an environmental case study. The project creates a federated distributed data infrastructure for research, that encourages data creators to make their data available to other scientists, and encourages users to make use of data available from many sources. The vision is to establish an ICT infrastructure to facilitate a whole-of-environment approach to environmental research. The outcome is a proof-of-concept ....Infrastructure for large-scale data resource sharing between research institutions – an environmental case study. The project creates a federated distributed data infrastructure for research, that encourages data creators to make their data available to other scientists, and encourages users to make use of data available from many sources. The vision is to establish an ICT infrastructure to facilitate a whole-of-environment approach to environmental research. The outcome is a proof-of-concept application based upon a case study of Queensland Environmental Protection Agency’s databases, to gain an in-depth understanding of the complexity, scope and key technological barriers for establishing an ICT infrastructure, to identify where the latest technologies can be used and where the gaps are for these technologies to be used in environmental sciences.Read moreRead less
Next-generation spatial keyword search. Spatial keyword search is like a normal web search plus additional location information, which helps users to obtain a better ranking of results by considering the spatial proximity. The success of this project will deliver a next-generation spatial keyword search system that overcomes the severe usability limitations experienced by users today.
Smart comparison and assessment of prediction models for better health using next generation data mining. Prediction models can be used to provide early warning of events, such as adverse medical outcomes. This project will develop principles for the smart management of large collections of prediction models using data mining, enabling more timely medical interventions for Australians to live healthier and longer.
Efficient databases for flash memory. This project will bring significant benefits to Australia. It will place Australia at the fore-front of the emerging field of flash memory databases. The lack of prior research in this field, coupled with the significant performance benefits of flash memory, means this project will make significant breakthroughs in this frontier technology. The algorithms developed will be directly incorporated into a state-of-the-art open source database and disseminated ....Efficient databases for flash memory. This project will bring significant benefits to Australia. It will place Australia at the fore-front of the emerging field of flash memory databases. The lack of prior research in this field, coupled with the significant performance benefits of flash memory, means this project will make significant breakthroughs in this frontier technology. The algorithms developed will be directly incorporated into a state-of-the-art open source database and disseminated throughout the international community, thereby boosting Australia's international research reputation. The database developed will significantly increase the speed of large database servers as well as bring significant energy savings to databases running on small portable devices.Read moreRead less
Improving the Effectiveness of Conceptual Model Validation Work. Errors or omissions in conceptual models often lead to significant problems when information systems are being built. Prior research has shown the cost of fixing the consequences of such errors or omissions grows exponentially as a function of how late they are discovered. Thus, significant economic benefits arise if they are identified early in the system development process. The project outcomes will facilitate early prevention ....Improving the Effectiveness of Conceptual Model Validation Work. Errors or omissions in conceptual models often lead to significant problems when information systems are being built. Prior research has shown the cost of fixing the consequences of such errors or omissions grows exponentially as a function of how late they are discovered. Thus, significant economic benefits arise if they are identified early in the system development process. The project outcomes will facilitate early prevention and detection of errors of omissions in conceptual models. They will also contribute to attainment of the national priority goal of smart information use through improved data management.Read moreRead less
Managing private location data in a mobile and networked world: getting the balance right. Location based data are transforming the mobile service industry and this project will develop novel approaches to safeguard the location privacy of mobile individuals. This will facilitate the development of privacy-aware services which can be used for real time traffic monitoring, care for the elderly and smartphone enabled location services.
Algorithms for collaborative micro-navigation based on spatio-temporal data management and data mining. Traffic congestion coupled with greenhouse gas emissions is a major challenge for modern society. This project will tackle this challenge by developing computer-assisted smart vehicles that can access and exchange real-time information about traffic conditions, leading to improved driving experience, safety and environmental sustainability.
The Impact of Information about Data Quality on Decision Making. Data quality problems are widespread in practice and have significant economic impacts. The development of theoretically sound data quality tags and understanding how they impact decision outcomes and processes will lead to improved data quality management within Australian organisations and more efficient and effective decision making. These issues constitute an important area of information technology research. Outcomes from the ....The Impact of Information about Data Quality on Decision Making. Data quality problems are widespread in practice and have significant economic impacts. The development of theoretically sound data quality tags and understanding how they impact decision outcomes and processes will lead to improved data quality management within Australian organisations and more efficient and effective decision making. These issues constitute an important area of information technology research. Outcomes from the project will enhance Australia's research standing and contribute to university teaching and researcher training.Read moreRead less
Efficient and effective ad-hoc search using structured and unstructured geospatial information. Web search is a key enabling technology in the information age. However two technologies, ubiquitous mobile devices and massive structured data repositories such as those used to maintain social networking sites, are changing user expectations about how and what should be searched. A key challenge in the research community is how to integrate structured and unstructured information to improve the qual ....Efficient and effective ad-hoc search using structured and unstructured geospatial information. Web search is a key enabling technology in the information age. However two technologies, ubiquitous mobile devices and massive structured data repositories such as those used to maintain social networking sites, are changing user expectations about how and what should be searched. A key challenge in the research community is how to integrate structured and unstructured information to improve the quality of search. This project proposes new approaches to ranked retrieval for location-aware search. In particular, it presents a plan to combine state-of-the-art research from two domains: spatial keyword search in databases, and ad-hoc search in Information Retrieval to improve the quality of search results.Read moreRead less