Intelligent Agent and Semantic Web empowered eFinance: A Knowledge Management Approach to enable and sustain Innovation. This research project will build new methods for adopting and deploying emerging Intelligent Agent and Semantic Web technologies for the purpose of enabling and sustaining innovation. Intelligent Agents and the Semantic Web are frontier technologies that facilitate information sharing and knowledge integration from multiple resources, and empower complex information systems ....Intelligent Agent and Semantic Web empowered eFinance: A Knowledge Management Approach to enable and sustain Innovation. This research project will build new methods for adopting and deploying emerging Intelligent Agent and Semantic Web technologies for the purpose of enabling and sustaining innovation. Intelligent Agents and the Semantic Web are frontier technologies that facilitate information sharing and knowledge integration from multiple resources, and empower complex information systems for independent action in open unpredictable environments such as a competitive global marketplace. We apply our methods in the Wholesale Financial Services Industry. Hence, the project supports both the ARC designated priority area, Frontier Technologies, and a National Priority to establish Australia as a financial services centre in the Asia Pacific Region.Read moreRead less
Special Research Initiatives - Grant ID: SR0354744
Funder
Australian Research Council
Funding Amount
$20,000.00
Summary
Improving Australia's Data Mining and Knowledge Discovery Research. The network will bring together over 50 active researchers in data mining and knowledge discovery to enhance and better coordinate Australia's impressive research performance in these dual disciplines. Specifically, the network will (a) facilitate communication and collaboration between researchers, (b) fund or underwrite opportunities for international collaboration, (c) run a number of specialist workshops and symposia and (d ....Improving Australia's Data Mining and Knowledge Discovery Research. The network will bring together over 50 active researchers in data mining and knowledge discovery to enhance and better coordinate Australia's impressive research performance in these dual disciplines. Specifically, the network will (a) facilitate communication and collaboration between researchers, (b) fund or underwrite opportunities for international collaboration, (c) run a number of specialist workshops and symposia and (d) establish a national annual conference.Read moreRead less
e-Hermes: Context-rich mobile agent technologies to support information needs of financial institutions. How do we achieve flexibility and efficiency of financial services in electronic commerce environment using mobile software agents? To address this question the project will extend a system architecture based on mobile agents, which retrieve, pre-process and deliver relevant information to potentially mobile users. Two major components - information processor and agent mission processor - wil ....e-Hermes: Context-rich mobile agent technologies to support information needs of financial institutions. How do we achieve flexibility and efficiency of financial services in electronic commerce environment using mobile software agents? To address this question the project will extend a system architecture based on mobile agents, which retrieve, pre-process and deliver relevant information to potentially mobile users. Two major components - information processor and agent mission processor - will be researched and developed by two PhD scholars to be supported by this application. The project results could be commercialised by the industry partner. The project is innovative in that it considers the emerging agent paradigm as an integrated distributed system in the e-commerce environment.Read moreRead less
Efficient Similarity Query Processing in High Dimensional Databases. This project studies a fundamental problem common to a wide range of applications. It contributes to smart use of information, which is vital to the modern knowledge-based economy, by providing an enabling technology to capitalise Australia's huge investment in data collection. Our research is right in the forefront of ICT research, leading the international effort of extending database technologies to support data management a ....Efficient Similarity Query Processing in High Dimensional Databases. This project studies a fundamental problem common to a wide range of applications. It contributes to smart use of information, which is vital to the modern knowledge-based economy, by providing an enabling technology to capitalise Australia's huge investment in data collection. Our research is right in the forefront of ICT research, leading the international effort of extending database technologies to support data management and query processing for very large and highly complex data.Read moreRead less
Context Exploration: An Effective Way to Enhance Duplication Detection. As a vital data quality problem, effective duplication detection has practical significance in data management, in particular in large scale information systems such as in business, health and national security. This project aims to be a unique value to virtually every information systems by providing a general, domain-independent framework which is comprehensive to significantly improve the duplication detection. The develo ....Context Exploration: An Effective Way to Enhance Duplication Detection. As a vital data quality problem, effective duplication detection has practical significance in data management, in particular in large scale information systems such as in business, health and national security. This project aims to be a unique value to virtually every information systems by providing a general, domain-independent framework which is comprehensive to significantly improve the duplication detection. The developed cutting-edge technologies are potential to be a new direction of data duplication detection study. This project will allow us to avail an opportunity to promote Australia's capability in developing sophisticated technologies and are potential to add to Australia's profile in this area. Read moreRead less
Effective and Efficient Keyword Search in Relational Databases. Effective and efficient management of information, including textual information, is at the heard of ICT objectives and requirements global wide. The project aims to be of unique value to vitually all Australian industries by providing easier and better information access to their business data. The research conducted in this project will position Australia as one of the leaders in the database and information retrieval research. Th ....Effective and Efficient Keyword Search in Relational Databases. Effective and efficient management of information, including textual information, is at the heard of ICT objectives and requirements global wide. The project aims to be of unique value to vitually all Australian industries by providing easier and better information access to their business data. The research conducted in this project will position Australia as one of the leaders in the database and information retrieval research. The project outcomes in the form of algorithms and systems will provide powerful solutions that are applicable to many Australian and international organisations. It will will also encourage more ICT within Australia and worldwide.Read moreRead less
Efficient data manipulation in document classification. Document Classification has an enormous relevance in an era where large amounts of textual information is available. Document Classification is based on statistical and machine learning techniques that model documents represented as points in a multidimensional space. The Computer Engineering Laboratory (CEL) has ongoing projects using neural networks and other techniques for document classification. We are developing a development environm ....Efficient data manipulation in document classification. Document Classification has an enormous relevance in an era where large amounts of textual information is available. Document Classification is based on statistical and machine learning techniques that model documents represented as points in a multidimensional space. The Computer Engineering Laboratory (CEL) has ongoing projects using neural networks and other techniques for document classification. We are developing a development environment for large classification tasks, and Prof. Lee¡¯s work will focus in managing large amounts of data for them. Using his experience in data compression, databases and web applications, he will produce a set of tools for handling Gigabytes of textual data in our classification environment.Read moreRead less
A Commercially Viable, Innovative XML - Enabled Association Rule Framework. The pervasive nature of the Web has raised two important issues, namely (1) how to exchange data between isolated information systems within two different companies with their own data formats and (2) how to store information particularly documents, so that they can be accessed through the internet based on their meaning. The Extended Markup Language XML has emerged as the favoured means of addressing these issues and th ....A Commercially Viable, Innovative XML - Enabled Association Rule Framework. The pervasive nature of the Web has raised two important issues, namely (1) how to exchange data between isolated information systems within two different companies with their own data formats and (2) how to store information particularly documents, so that they can be accessed through the internet based on their meaning. The Extended Markup Language XML has emerged as the favoured means of addressing these issues and this is leading to an explosive growth in the information stored in this way. This project addresses the issue of determination of patterns and knowledge in information stored in XML through datamining.Read moreRead less
Building a Prototype for Quality Information Retrieval from the Internet. This projects aims to consider fundamental issues in implementing a prototype quality information retrieval system from the world wide web. These issues include: retrieval of relevant pages to a given topic using a focussed crawler; text categorisation of the retrieved web pages; quality selection criteria with the formulation of a quality index to determine quality of retrieved pages, and user interface design to obtain r ....Building a Prototype for Quality Information Retrieval from the Internet. This projects aims to consider fundamental issues in implementing a prototype quality information retrieval system from the world wide web. These issues include: retrieval of relevant pages to a given topic using a focussed crawler; text categorisation of the retrieved web pages; quality selection criteria with the formulation of a quality index to determine quality of retrieved pages, and user interface design to obtain relevance feedback. The outcome will be a prototype system useful to business and industry though to guide our thinking we will use issues in constructing a quality digital library collection as a sounding board.
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Investigation and development of robust rule discovery and classification system. This research focuses on a national research priority, namely smart information use. The expected outcomes of the project will greatly advance intelligent system design, such as automatic decision making, fault detection and problem diagnosis, for finance, medical, telecom and many other areas. It has great potential for commercialisation and earning incomes for the future research. The publications will benefit th ....Investigation and development of robust rule discovery and classification system. This research focuses on a national research priority, namely smart information use. The expected outcomes of the project will greatly advance intelligent system design, such as automatic decision making, fault detection and problem diagnosis, for finance, medical, telecom and many other areas. It has great potential for commercialisation and earning incomes for the future research. The publications will benefit the future development of intelligent systems for dealing with missing data. This project directly supports a PhD student and two research assistants who will most likely continue their higher degree study. These contribute to regional tertiary education.Read moreRead less