RAGS and beyond
This event took place on Wednesday 27 October 2004 at 12:45
Dr Roger Evans Information Technology Research Institute, University of Brighton
The RAGS project ('Reference Architecture for Generation Systems'; Brighton/Edinburgh, EPSRC) aimed to build a concrete infrastructure for collaborative Natural Language Generation (NLG) research, founded on an apparent emerging architectural consensus among NLG system builders. However, a detailed survey of these existing systems revealed that the 'consensus' was much less secure than it appeared at first sight. In order to achieve the goals of the project, we started to develop a much more sophisticated view of system architectures, flexible enough to accommodate existing research, yet precise enough to make a useful contribution as a collaborative 'plug-and-play' framework for NLG. The resulting approach asks interesting and challenging questions about the nature of data manipulation and functional 'modulehood' in large, complex, computational systems.
In this talk, I will describe the progressive development of these ideas, from the starting point of the problem revealed by the RAGS survey, through the RAGS two-level data model and functional architecture for NLG systems, and its implementation in the OASYS system, to subsequent work with Chris Mellish on functional vs implementation architectures, and my current ideas for developing a more generic architectural substrate.
This event took place on Wednesday 27 October 2004 at 12:45
The RAGS project ('Reference Architecture for Generation Systems'; Brighton/Edinburgh, EPSRC) aimed to build a concrete infrastructure for collaborative Natural Language Generation (NLG) research, founded on an apparent emerging architectural consensus among NLG system builders. However, a detailed survey of these existing systems revealed that the 'consensus' was much less secure than it appeared at first sight. In order to achieve the goals of the project, we started to develop a much more sophisticated view of system architectures, flexible enough to accommodate existing research, yet precise enough to make a useful contribution as a collaborative 'plug-and-play' framework for NLG. The resulting approach asks interesting and challenging questions about the nature of data manipulation and functional 'modulehood' in large, complex, computational systems.
In this talk, I will describe the progressive development of these ideas, from the starting point of the problem revealed by the RAGS survey, through the RAGS two-level data model and functional architecture for NLG systems, and its implementation in the OASYS system, to subsequent work with Chris Mellish on functional vs implementation architectures, and my current ideas for developing a more generic architectural substrate.
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Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.
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