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KMi Seminars
Ontosophie: A Semi-Automatic System for Ontology Population from Text
This event took place on Monday 06 December 2004 at 12:30

David Celjuska Technical University Kosice, Slovakia

In this talk I will describe Ontosophie, a system for semi-automatic population of ontologies with instances from unstructured text. Extraction rules are generated from annotated text using supervise learning techniques. These rules are then applied to new articles to populate the ontology. Hence, the system classifies stories and populates a hand-crafted ontology with new instances. It is based on three components: Marmot, a natural language processor; Crystal, a dictionary induction tool; and Badger, an information extraction tool.

In the talk I will address the major challenges and introduce confidence values that we implemented in the system to enhance its performance. Different methods of confidence computation will be given and their results compared on a text corpus consisting of KMi news articles.

Finally, the presentation will be followed with a brief demonstration of Ontosophie.

The talk is being hosted by Dr. Maria Vargas-Vera from KMi.

Download PowerPoint Presentation (133Kb ZIP file)

 
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.