Information Delivery from Segmented Textual Data Streams. This project will contribute to the advancement of ICT innovation in Australia by developing a robust, reusable language understanding engine. The technology will be tailored to web applications, in the form of a conceptually-aware web search engine capable of tracking cross-document dialogues and identifying the core semantic thread of the dialogue. It will place Australia at the forefront of next-generation language technology developme ....Information Delivery from Segmented Textual Data Streams. This project will contribute to the advancement of ICT innovation in Australia by developing a robust, reusable language understanding engine. The technology will be tailored to web applications, in the form of a conceptually-aware web search engine capable of tracking cross-document dialogues and identifying the core semantic thread of the dialogue. It will place Australia at the forefront of next-generation language technology development, with applications in areas including concept-based multi-document summarisation and email surveillance.Read moreRead less
A scalable and portable question-answering system. The current availability of large volumes of free text digitally stored demands the development of methodologies that can automatically find specific answers to user questions about this "unstructured" information. The goal of this project is to develop a scalable portable and domain-independent real-time natural-language question-answering system that explores the logical contents of the text. To achieve this we will fuse current approaches to ....A scalable and portable question-answering system. The current availability of large volumes of free text digitally stored demands the development of methodologies that can automatically find specific answers to user questions about this "unstructured" information. The goal of this project is to develop a scalable portable and domain-independent real-time natural-language question-answering system that explores the logical contents of the text. To achieve this we will fuse current approaches to question answering with approaches that look at the logical contents of the questions and answer candidates. A central part of the project will be the characterisation of the optimal logical forms, the determination of efficient methods to create and store sentence logical forms of potentially large volumes of text, and the treatment of difficult questions by incorporating summarisation and text generation techniques.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
Supporting adaptive, interactive documents. The project will improve comprehensibility of technical material, reduce paper usage, encourage collaborative science, improve the reliability of published science (by allowing post-publication annotation and correction), and improve the accessibility of technical material for readers who are blind or have poor vision. The project also holds considerable potential for supporting Australian companies in the publishing and document processing industries.
Achieving higher availability of storage subsystems through application of a self learning expert system. In todays global business environment the management, storage and security of enterprise data (data unavailability, data loss and corruption, systems performance) has become the heart of so-called Enterprise computing. The storage subsystems increasingly have become the critical subcomponent and single point of failure. Discovering the cause of failure in complex environments involving mul ....Achieving higher availability of storage subsystems through application of a self learning expert system. In todays global business environment the management, storage and security of enterprise data (data unavailability, data loss and corruption, systems performance) has become the heart of so-called Enterprise computing. The storage subsystems increasingly have become the critical subcomponent and single point of failure. Discovering the cause of failure in complex environments involving multiple vendors, machines, software products, topologies and cultures (languages) is in many cases time consuming and difficult resulting in unacceptable systems downtime and high maintenance costs. A more sophisticated tool is needed allowing the accumulation of knowledge, the ability to deal with complexity and change, the ability to interface with unlike knowledge bases and predict solution probability based on experience and feedback. Multi-lingual support and capability through the development of a Natural Language interface would provide a functional capability suited to managing enterprise data in todays global businesses.Read moreRead less
Incremental Knowledge Acquisition for Machine Translation from Multiple Experts. With increasing globalisation and an increasing amount of electronically available documents the need for machine translation is growing dramatically. The state-of-the-art in machine translation is still far from satisfactory. Substantial post-editing is necessary for most non-technical texts and even for many technical documents to make the translation really understandable. This project will develop a new approach ....Incremental Knowledge Acquisition for Machine Translation from Multiple Experts. With increasing globalisation and an increasing amount of electronically available documents the need for machine translation is growing dramatically. The state-of-the-art in machine translation is still far from satisfactory. Substantial post-editing is necessary for most non-technical texts and even for many technical documents to make the translation really understandable. This project will develop a new approach for buildingmachine translation systems by extending the unorthodox approach of Ripple-Down Rules, which proved very successful for building expert systems in the medical domain.It is intended to build a machine translation system by integrating the knowledge from many experts.Read moreRead less
Dynamic Scheduling and Stochastic Control for Sensor Networks. Sensor networks are rapidly becoming important in applications from environmental monitoring, navigation to border surveillance. However, due to bandwidth constraints, even very simple networks have proven to be very complex to properly control. It is now necessary to efficiently allocate the 'limited available bandwidth' to sensors in order to share the most valuable data over the network. Therefore, this project proposes new techn ....Dynamic Scheduling and Stochastic Control for Sensor Networks. Sensor networks are rapidly becoming important in applications from environmental monitoring, navigation to border surveillance. However, due to bandwidth constraints, even very simple networks have proven to be very complex to properly control. It is now necessary to efficiently allocate the 'limited available bandwidth' to sensors in order to share the most valuable data over the network. Therefore, this project proposes new techniques using concepts of dynamic sensor scheduling and stochastic control to provide computationally feasible and near optimal solutions to the limited and varying bandwidth problem. This work will greatly enhance the operational performance of distributed sensor networks.Read moreRead less
Sentiment detection from opinion surveys -- the quest for customer and employee satisfaction. The research will yield improved international standing through scientific advances disseminated through high impact refereed publications and open source software. The advances made through the application of sophisticated probabilistic techniques to Language Technology problems will attract post-graduate students, and promote commercial interest. The demonstration prototype will provide proof of conce ....Sentiment detection from opinion surveys -- the quest for customer and employee satisfaction. The research will yield improved international standing through scientific advances disseminated through high impact refereed publications and open source software. The advances made through the application of sophisticated probabilistic techniques to Language Technology problems will attract post-graduate students, and promote commercial interest. The demonstration prototype will provide proof of concept of an application that enables business intelligence to automatically process free-form feedback from customers and employees, with resultant recommendations leading to increased customer and employee satisfaction. The applicability of the outcomes of this research to service industries will further improve Australia's service reputation.Read moreRead less
Advanced Processing for Through-the-Wall Radar Imaging. There is currently considerable interest around the world in imaging systems that can 'see' through-the-walls. This project is at the cutting edge of through-the-wall radar imaging research and technology. It will benefit both the defence and security industries, and position Australia among the leading countries in this technology, as only a handful of research teams around the world have the necessary background and expertise in this area ....Advanced Processing for Through-the-Wall Radar Imaging. There is currently considerable interest around the world in imaging systems that can 'see' through-the-walls. This project is at the cutting edge of through-the-wall radar imaging research and technology. It will benefit both the defence and security industries, and position Australia among the leading countries in this technology, as only a handful of research teams around the world have the necessary background and expertise in this area. The research outcomes will enhance the capability of the military, law enforcement, counter-terrorism, and search and rescue personnel. It will play a vital role in protecting and safeguarding Australia from terrorism and crime.Read moreRead less
Query interpretation and response generation in large on-line resources. The unprecedented information explosion associated with the evolution of the Internet makes salient the challenge of providing users with answers to queries posed to Internet resources. The proposed project will apply machine learning and reasoning under uncertainty techniques to leverage the large amount of data found in the Internet in order to perform three tasks: (1) infer users' informational goals from their questions ....Query interpretation and response generation in large on-line resources. The unprecedented information explosion associated with the evolution of the Internet makes salient the challenge of providing users with answers to queries posed to Internet resources. The proposed project will apply machine learning and reasoning under uncertainty techniques to leverage the large amount of data found in the Internet in order to perform three tasks: (1) infer users' informational goals from their questions, (2) modify questions to improve the accuracy of retrieval engines, and (3) compose concise replies from the retrieved documents. The envisioned outcome of this project is a system that will generate replies to questions posed to on-line resources.Read moreRead less