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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
 

Knowledge Management is...


Knowledge Management
Creating learning organisations hinges on managing knowledge at many levels. Knowledge can be provided by individuals or it can be created as a collective effort of a group working together towards a common goal, it can be situated as "war stories" or it can be generalised as guidelines, it can be described informally as comments in a natural language, pictures and technical drawings or it can be formalised as mathematical formulae and rules, it can be expressed explicitly or it can be tacit, embedded in the work product. The recipient of knowledge - the learner - can be an individual or a work group, professionals, university students, schoolchildren or informal communities of interest.
Our aim is to capture, analyse and organise knowledge, regardless of its origin and form and make it available to the learner when needed presented with the necessary context and in a form supporting the learning processes.