Effective and Efficient Query Processing over Dynamic Social Networks. This project aims to invent novel query-based social network data exploration techniques which would help individuals or organisations make smart decisions based on data from increasingly massive, complex and dynamic social networks. Expected project outcomes are formal result semantics, advanced indices, efficient query evaluation algorithms and scalable techniques for three types of commonly used queries. The project plans ....Effective and Efficient Query Processing over Dynamic Social Networks. This project aims to invent novel query-based social network data exploration techniques which would help individuals or organisations make smart decisions based on data from increasingly massive, complex and dynamic social networks. Expected project outcomes are formal result semantics, advanced indices, efficient query evaluation algorithms and scalable techniques for three types of commonly used queries. The project plans to develop a system prototype to evaluate the effectiveness and efficiency of the proposed approaches and techniques. Query-based dynamic social network data exploration techniques developed in this project may have practical applications including event and influential topic discovery and tracking, buying trend analysis and political issues analysis.Read moreRead less
Comparative analysis and exploration of collections of data clusterings. Data clustering is an important technique for extracting knowledge from complex datasets. It is widely used by Australian science, government and industry, in areas such as genomics, proteomics, crime analysis, marketing and customer profiling. This project will develop new techniques that will allow users to explore and analyse collections of data clusterings. This will improve the current generation of clustering softw ....Comparative analysis and exploration of collections of data clusterings. Data clustering is an important technique for extracting knowledge from complex datasets. It is widely used by Australian science, government and industry, in areas such as genomics, proteomics, crime analysis, marketing and customer profiling. This project will develop new techniques that will allow users to explore and analyse collections of data clusterings. This will improve the current generation of clustering software and allow deeper investigation of challenging and complex data.
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Competing on Business Analytics. Business analytics can provide Australian organisations with a means to gain competitive advantage in the face of increasing global competition. By using the Business Analytics Success Model, Australian organisations will be able to understand better how to gain competitive advantage with business analytics. The model is an original contribution in an important area of information systems research and will contribute to university teaching and research training. ....Competing on Business Analytics. Business analytics can provide Australian organisations with a means to gain competitive advantage in the face of increasing global competition. By using the Business Analytics Success Model, Australian organisations will be able to understand better how to gain competitive advantage with business analytics. The model is an original contribution in an important area of information systems research and will contribute to university teaching and research training. The empirical data and rigorous research protocols will enhance Australia's reputation as a leader in the area of organisational use of business-analytic systems.Read moreRead less
SeqSeeker: a search engine for large numbers of very long sequences. Large sets of very long sequences arise in many important domains. Well known examples are time series sequences in financial markets and meteorology and DNA and protein sequences in biology. This project will develop a search system, SeqSeeker, that can perform search on massive databases of such sequences. This will allow experts from many domains to get more value from their data and to investigate datasets which are cu ....SeqSeeker: a search engine for large numbers of very long sequences. Large sets of very long sequences arise in many important domains. Well known examples are time series sequences in financial markets and meteorology and DNA and protein sequences in biology. This project will develop a search system, SeqSeeker, that can perform search on massive databases of such sequences. This will allow experts from many domains to get more value from their data and to investigate datasets which are currently beyond the reach of today's technology.Read moreRead less
Coordinated and Cooperative Load Sharing between Content Delivery Networks. Popular web services can experience severe downtimes as the result of heavy traffic. Enabling coordinated and cooperative content delivery between existing Content Delivery Networks (CDNs) will allow a CDN provider to rapidly 'scale-out' without investing in new infrastructure, to meet both flash crowds and anticipated increases in demand. Improved cost effectiveness, performance and locality for providers and end-users ....Coordinated and Cooperative Load Sharing between Content Delivery Networks. Popular web services can experience severe downtimes as the result of heavy traffic. Enabling coordinated and cooperative content delivery between existing Content Delivery Networks (CDNs) will allow a CDN provider to rapidly 'scale-out' without investing in new infrastructure, to meet both flash crowds and anticipated increases in demand. Improved cost effectiveness, performance and locality for providers and end-users can be achieved by leveraging existing infrastructure provided by other CDNs, creating economies of scale that were previously impossible. This is crucial for uses on the so-called edges of the internet (e.g. Australia) that depend on a small number of expensive data links to the major data centres in Europe and the USA.Read moreRead less
Create Once, Use Many Times - The Clever Use of Metadata in eGovernment and eBusiness Recordkeeping Processes in Networked Environments. Descriptive metadata, i.e. structured context-rich information about business processes, agents, and information resources, is a vital tool in managing business transactions and related information objects in complex intranet/internet environments to support eBusiness and eGovernment. Implementation of recordkeeping metadata standards is problematic as metadata ....Create Once, Use Many Times - The Clever Use of Metadata in eGovernment and eBusiness Recordkeeping Processes in Networked Environments. Descriptive metadata, i.e. structured context-rich information about business processes, agents, and information resources, is a vital tool in managing business transactions and related information objects in complex intranet/internet environments to support eBusiness and eGovernment. Implementation of recordkeeping metadata standards is problematic as metadata generation and deployment are resource intensive and application specific. This project will develop a proof of concept prototype to demonstrate how standards-compliant metadata can be captured ONCE in particular application environments, then reused MANY times across business applications and in different environments. Implementation of the prototype in a test-bed site will provide a model for best practice.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
Structured natural language descriptions for semantic content retrieval of visual data. The richness of visual data complicates the task of indexing their content for database retrieval. Retrieval based on semantic content is more natural than retrieval based on textures or colours but the most common approach - keyword search - lacks precision, while a newer approach - automatic parsing of free-text descriptions - lacks accuracy. We propose a system of metadata and content descriptions, where c ....Structured natural language descriptions for semantic content retrieval of visual data. The richness of visual data complicates the task of indexing their content for database retrieval. Retrieval based on semantic content is more natural than retrieval based on textures or colours but the most common approach - keyword search - lacks precision, while a newer approach - automatic parsing of free-text descriptions - lacks accuracy. We propose a system of metadata and content descriptions, where content descriptions must be phrases composed of basic grammatical terms. Description components may be elements from external resources such as thesauri and databases, providing a rich superstructure for meaningful retrieval of visual data by semantic content.Read moreRead less
Formal Context Analysis in Rapidly Evolving Knowledge Webs (4CARE-K). On-the-fly personalised assembly of complex objects (learning
materials, contracts, plans, designs, software configurations, etc)
is increasingly expected in knowledge processing and decision
making. This requires the discovery of discrete underlying models and
taxonomies of subject domains and statistical matching in dynamically
varying contexts defined by changing personal preferences, tasks,
objectives and other chara ....Formal Context Analysis in Rapidly Evolving Knowledge Webs (4CARE-K). On-the-fly personalised assembly of complex objects (learning
materials, contracts, plans, designs, software configurations, etc)
is increasingly expected in knowledge processing and decision
making. This requires the discovery of discrete underlying models and
taxonomies of subject domains and statistical matching in dynamically
varying contexts defined by changing personal preferences, tasks,
objectives and other characteristics. This project addresses formal
models of context and similarity based in applied lattice theory
(formal concepts), feature logic and statistical retrieval. Parallel
algorithms will be developed, analysed and benchmarked to enable
high-performance processing of vast numbers of heterogeneous objects
in a distributed knowledge web.Read moreRead less
Trajectory data processing: Spatial computing meets information retrieval. This project aims to develop multi-stage retrieval systems which leverage structured and unstructured data processing to efficiently and effectively search spatial, temporal and textual data collections. Search in heterogeneous data collections is an important research problem. In particular, spatial computing is a growth area as the quantity and quality of GPS data collected in multiple domains has significantly increase ....Trajectory data processing: Spatial computing meets information retrieval. This project aims to develop multi-stage retrieval systems which leverage structured and unstructured data processing to efficiently and effectively search spatial, temporal and textual data collections. Search in heterogeneous data collections is an important research problem. In particular, spatial computing is a growth area as the quantity and quality of GPS data collected in multiple domains has significantly increased in recent years. Possible benefits from research advances derived from this project include disaster/event recognition and monitoring, monitoring of endangered species, farming and agriculture to increase crop yields and reduce cost, and minimising fuel consumption and greenhouse-gas emissions.Read moreRead less