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
 

Social Software is...


Social Software
Social Software can be thought of as "software which extends, or derives added value from, human social behaviour - message boards, musical taste-sharing, photo-sharing, instant messaging, mailing lists, social networking."

Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.