Skeletome - A Curated Online Knowledge Base Integrating Clinical and Biological Information on Skeletal Dysplasias and Related Conditions. The skeletal dysplasia knowledge base will:
* establish Australia as a world-leader in skeletal dysplasia research;
* provide researchers with an extensible and comprehensive online knowledge-base related to skeletal dysplasias;
* enhance clinicians' understanding of the diagnosis, treatment and management of skeletal dysplasias;
* facilitate collaborativ ....Skeletome - A Curated Online Knowledge Base Integrating Clinical and Biological Information on Skeletal Dysplasias and Related Conditions. The skeletal dysplasia knowledge base will:
* establish Australia as a world-leader in skeletal dysplasia research;
* provide researchers with an extensible and comprehensive online knowledge-base related to skeletal dysplasias;
* enhance clinicians' understanding of the diagnosis, treatment and management of skeletal dysplasias;
* facilitate collaborative discussions by patients, clinicians and researchers around specific cases to improve training, management and diagnosis; and
* enhance Australia's research expertise in Semantic Web and social networking technologies.Read moreRead less
Scalable Visual Analytics for Uncertain Dynamic Networks. Technological advances have provided a data deluge over the past few years, and have led to many large uncertain and dynamic network models. This includes terrorist networks, marketing networks, facebook networks, various biological networks, and software engineering structures. Human understanding of such networks is difficult. This project aims to provide new methods for visual analysis of large uncertain dynamic networks such as these. ....Scalable Visual Analytics for Uncertain Dynamic Networks. Technological advances have provided a data deluge over the past few years, and have led to many large uncertain and dynamic network models. This includes terrorist networks, marketing networks, facebook networks, various biological networks, and software engineering structures. Human understanding of such networks is difficult. This project aims to provide new methods for visual analysis of large uncertain dynamic networks such as these. The algorithms developed in the project will help security analysts to monitor illegal behaviour such as money laundering and terrorist activities, help biologists understand key biological systems, and help engineers to understand large software systems.Read moreRead less
A new legal framework for identifying and reporting Australian data breaches. A data breach reporting mechanism will provide security and economic benefits for Australia. One aim of such a mechanism is to enable law enforcement agencies to discover identity crime threats arising from data breaches. Enhanced reporting will lead to more information sharing which will lead to enhanced detection. The reporting mechanism will be built with the needs to Australian business at its heart to encourage re ....A new legal framework for identifying and reporting Australian data breaches. A data breach reporting mechanism will provide security and economic benefits for Australia. One aim of such a mechanism is to enable law enforcement agencies to discover identity crime threats arising from data breaches. Enhanced reporting will lead to more information sharing which will lead to enhanced detection. The reporting mechanism will be built with the needs to Australian business at its heart to encourage reporting. In turn, this will enhance consumer confidence through enhanced governance regarding the handling of personal information. The research will cement Australia's reputation as an advanced technological jurisdiction that can incorporate the security requirements of technical development. Read moreRead less
A Layered Controlled Natural Language for Knowledge Representation. In this research project we will develop a controlled natural language for knowledge representation that has the potential to bridge the gap between fragments of natural language and formal languages. This controlled language will be based on a variety of increasing sophisticated layers, each building upon those below it by providing enhancements in expressive power. Sentences of the controlled language will be unambiguously tra ....A Layered Controlled Natural Language for Knowledge Representation. In this research project we will develop a controlled natural language for knowledge representation that has the potential to bridge the gap between fragments of natural language and formal languages. This controlled language will be based on a variety of increasing sophisticated layers, each building upon those below it by providing enhancements in expressive power. Sentences of the controlled language will be unambiguously translatable into a corresponding formal language. Anyone who can read and write English can immediately use the controlled language with the help an intelligent text editor. This technology will make it possible for non-specialists to write problem specifications in terms of the application domain without the need to formally encode the information.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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Beamforming with acoustic vector sensors for audio user interfaces. We aim to create new Audio User Interfaces (AUIs) for the automatic separation and annotation of audio from complex sound scenes using acoustic vector sensor beamforming technology. Specifically, we will develop: speech AUIs for noisy, multi-talker, reverberant environments; and sound transcription AUIs for the deaf. Ultimately, users will be able to walk into a room, hold conversations and leave with a searchable, automatically ....Beamforming with acoustic vector sensors for audio user interfaces. We aim to create new Audio User Interfaces (AUIs) for the automatic separation and annotation of audio from complex sound scenes using acoustic vector sensor beamforming technology. Specifically, we will develop: speech AUIs for noisy, multi-talker, reverberant environments; and sound transcription AUIs for the deaf. Ultimately, users will be able to walk into a room, hold conversations and leave with a searchable, automatically-generated transcript of the audio events, tagged with metadata. The application of these technologies will create new possibilities for recording audio in the music, radio, TV industries, and future home based audio communication systems.Read moreRead less
Algorithmics for Interactive 2.5D Graph Drawing. Technological advances have provided a data deluge over the past few years, and consequently have led to many large and complex network models in many domains. This includes terrorrist networks and biological networks, software engineering structures, and webgraphs. Visualisation is an effective tool in helping humans to understand such networks. This project aims to provide a new direction in network visualisation, using 2.5 dimensions. The algor ....Algorithmics for Interactive 2.5D Graph Drawing. Technological advances have provided a data deluge over the past few years, and consequently have led to many large and complex network models in many domains. This includes terrorrist networks and biological networks, software engineering structures, and webgraphs. Visualisation is an effective tool in helping humans to understand such networks. This project aims to provide a new direction in network visualisation, using 2.5 dimensions. The algorithms developed in the project will help security analysts to detect abnormal behavious such as money laundering, help biologists understand protein-protein interaction networks, and help engineers to understand large software systems.Read moreRead less
Location-Based Personalisation in Mobile Commerce (M-Commerce). M-commerce, though playing an important role in future competitiveness of Australia, suffers a low user demand. While location-based services have taken off in Europe, they are still at their infancy in Australia. In terms of IT access, Australia is ranked lower than many Asian countries. Our work gains an understanding of users' concerns and expectations of location-based services, which leads to better application designs and thus ....Location-Based Personalisation in Mobile Commerce (M-Commerce). M-commerce, though playing an important role in future competitiveness of Australia, suffers a low user demand. While location-based services have taken off in Europe, they are still at their infancy in Australia. In terms of IT access, Australia is ranked lower than many Asian countries. Our work gains an understanding of users' concerns and expectations of location-based services, which leads to better application designs and thus a wider adoption. An examination of users' attitude towards personalised content and concerns about data privacy provides insights to Australian legislation in relation to telemarketing and data-driven marketing. National benefits will stem from a balance between telemarketing efficiency and users' benefits.Read moreRead less
Multi-resolution spatial query processing. The cost of spatial query processing is directly related to spatial data complexity and accuracy. While spatial data is often stored in a database with the highest level of detail available, not all applications require the same level of detail. Recognising the difficulties of multiple representations of spatial data, in this project we propose to use multi-resolution data structures as a new foundation for efficient, application-dependent, on-demand de ....Multi-resolution spatial query processing. The cost of spatial query processing is directly related to spatial data complexity and accuracy. While spatial data is often stored in a database with the highest level of detail available, not all applications require the same level of detail. Recognising the difficulties of multiple representations of spatial data, in this project we propose to use multi-resolution data structures as a new foundation for efficient, application-dependent, on-demand derivation of data at different resolution levels. The systematic approach adopted in this project has the potential to deliver performance improvement that previous algorithm-level-only research cannot match.Read moreRead less
Special Research Initiatives - Grant ID: SR0567263
Funder
Australian Research Council
Funding Amount
$82,831.00
Summary
Development of Tool Interfaces and Data Standards for Enabling Remote Secondary Analysis of Qualitative Data. This proposal will promote sharing and rapid secondary analysis of natural language and other qualitative data by providing interface standards between qualitative analysis systems, and will enhance the integration of analytic methods through improved archiving. This will be achieved by the construction and dissemination of open standards for the efficient, flexible transport and storage ....Development of Tool Interfaces and Data Standards for Enabling Remote Secondary Analysis of Qualitative Data. This proposal will promote sharing and rapid secondary analysis of natural language and other qualitative data by providing interface standards between qualitative analysis systems, and will enhance the integration of analytic methods through improved archiving. This will be achieved by the construction and dissemination of open standards for the efficient, flexible transport and storage of annotation metadata, along with demonstrated implementations of these standards in qualitative tools. At the current stage of development of e-Social Science, the provision of middleware for collaborative work is more important than large-scale computational capability. The initiative will leverage existing ARC investment in qualitative data archiving.Read moreRead less