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KMi Seminars
Integrating Deep and Shallow Semantic Structures in Open Ontology Forge
This event took place on Friday 15 October 2004 at 13:30

 
Dr Nigel Collier National Institute of Informatics, Tokyo

Work in knowledge representation undertaken as part of the Semantic Web initiative has enabled a common infrastructure (Resource Description Framework (RDF) and RDF Schema) for sharing knowledge of ontologies and instances. In this talk I present a framework for combining the shallow levels of semantic description commonly used in MUC-style information extraction (IE) with the deeper semantic structures available in such ontologies. The framework is implemented within the PIA project software called Open Ontology Forge (OOF). OOF offers a rich desktop based environment for editing ontologies and large-scale capture of text and image annotations. It will also soon support a modular architecture for plug-ins which will allow IE components to reduce the effort making annotations by human experts. We discuss the knowledge framework, some features of the system and summarize work within our group on component IE technologies such as named entity, coreference and event annotation.

 
KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Semantic Web and Knowledge Services is...


Semantic Web and Knowledge Services
"The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation" (Berners-Lee et al., 2001).

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.