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
Escaping the concurrency trade-off: a new approach to enterprise software. Enterprise software manages the operations of all business and government organisations. Designers of this often rely on their intuition or luck, by using high-performance database facilities whose correctness is not guaranteed. This project will show designers how to use these facilities while still having the assurance that the data will not be corrupted. This will improve the quality of the data used by Australian ent ....Escaping the concurrency trade-off: a new approach to enterprise software. Enterprise software manages the operations of all business and government organisations. Designers of this often rely on their intuition or luck, by using high-performance database facilities whose correctness is not guaranteed. This project will show designers how to use these facilities while still having the assurance that the data will not be corrupted. This will improve the quality of the data used by Australian enterprises, and thus improve their operations. Australian software designers will also benefit, as they will be able to produce software that combines high performance with assurance that concurrency errors will not occur.Read moreRead less
Next generation real-time trajectory mining for travel and transportation decision support. Mining human and vehicle trajectories in real time will enable a suite of next-generation applications such as traffic overload prediction, real-time event detection and route recommendation. This project will develop novel techniques for immediate mining of massive volumes of trajectory data as it is being continuously generated.
Contextual Behabiour Predictions in Dynamic Mobile E-commerce. The project aims to address behaviour prediction and develop novel techniques and tools for modelling, predicting human behaviours and making effective recommendations based on ubiquitous user behaviour data in mobile e-commerce. The techniques enable multi-source data fusion, context learning and model adaptation, and dynamic recommendation with interpretability ability. Expected outcomes include advances in data analytics theory an ....Contextual Behabiour Predictions in Dynamic Mobile E-commerce. The project aims to address behaviour prediction and develop novel techniques and tools for modelling, predicting human behaviours and making effective recommendations based on ubiquitous user behaviour data in mobile e-commerce. The techniques enable multi-source data fusion, context learning and model adaptation, and dynamic recommendation with interpretability ability. Expected outcomes include advances in data analytics theory and informed decision-making. This provides significant benefits of not only placing Australia in the forefront of exploiting multimodal user behaviour big data in dynamic e-commerce but also transforming Australian government and businesses to intelligent and contextual services adaptive to complex situations.Read moreRead less
Efficient processing of distance-based spatial queries on multi-valued objects. This project aims to develop effective and efficient algorithms to analyse large scale multi-valued objects. The success of this project will not only be an important complement to the current spatial database systems but also bring considerable economic and social benefits to Australia.
Discovery Early Career Researcher Award - Grant ID: DE160100509
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Effective Recommendation for Web of Things. This project seeks to generate novel techniques for the efficient recommendation of things by the smart use of information generated from the ‘Internet of things’. The ‘Internet of things’ will connect billions of physical things over the web, which will offer exciting capabilities to improve the quality of human lives. This project focuses on effective recommendation of things of interest, and aims to develop new techniques and a set of software tools ....Effective Recommendation for Web of Things. This project seeks to generate novel techniques for the efficient recommendation of things by the smart use of information generated from the ‘Internet of things’. The ‘Internet of things’ will connect billions of physical things over the web, which will offer exciting capabilities to improve the quality of human lives. This project focuses on effective recommendation of things of interest, and aims to develop new techniques and a set of software tools for effectively and proactively discovering and recommending things. The result of this project may underpin applications (eg smart cities) that will contribute to Australian society and the national economy.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100251
Funder
Australian Research Council
Funding Amount
$368,446.00
Summary
Trust-aware internet of things service recommendation. This project aims to develop innovative techniques and tools to recommend Internet of Things resources as services for trustworthy and cost-effective applications. Internet of Things connects billions of physical things over the Web, offering exciting opportunities to improve life quality and reshape human society. The project is expected to underpin innovative applications like smart home, urban computing, and mobile social sensing, which c ....Trust-aware internet of things service recommendation. This project aims to develop innovative techniques and tools to recommend Internet of Things resources as services for trustworthy and cost-effective applications. Internet of Things connects billions of physical things over the Web, offering exciting opportunities to improve life quality and reshape human society. The project is expected to underpin innovative applications like smart home, urban computing, and mobile social sensing, which can significantly contribute to Australian society and the national economy. It also holds the potential to place Australia at the forefront of research and development in the vibrant and growing area of trustworthy Internet of Things.Read moreRead less
Integrating Quality Control into Crowd-sourcing Services. This project aims to contribute to the scientific foundations of quality control in crowd-sourcing services. Crowd-sourcing services harness the wisdom of large communities to solve problems. Open projects (eg Linux, Wikipedia) have successfully used crowd sourcing. Increasingly, organisations and governments are using crowd-sourcing to improve products and services. However, there are significant risks due to lack of robust quality contr ....Integrating Quality Control into Crowd-sourcing Services. This project aims to contribute to the scientific foundations of quality control in crowd-sourcing services. Crowd-sourcing services harness the wisdom of large communities to solve problems. Open projects (eg Linux, Wikipedia) have successfully used crowd sourcing. Increasingly, organisations and governments are using crowd-sourcing to improve products and services. However, there are significant risks due to lack of robust quality control methods. The project aims to contribute to the first methodology and techniques for systematic provisioning of robust crowd-sourcing quality control mechanisms. It is expected that project outcomes would contribute to lifting productivity and economic growth through quality-aware crowd sourcing service technologies.Read moreRead less
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.