External Publications

2013 [18]

2012 [97]
2011 [137]

2010 [191]

2009 [166]

2008 [191]

2007 [145]

Earlier Publications [787]

Tech Reports

2012 [3]

2011 [4]

2010 [3]

2009 [6]

2008 [8]

2007 [4]

Earlier Tech Reports [197]

Books [8]

JIME
 

News

 
KMi Publications

Tech Reports

Tech Report kmi-04-14 Abstract


Event Recognition on News Stories and Semi-Automatic Population of an Ontology
Techreport ID: kmi-04-14
Date: 2004
Author(s): Maria Vargas-Vera, David Celjuska
Download PDF

This paper describes a system which recognizes events on news stories. Our system classifies stories and populates a hand-crafted ontology with new instances of classes defined in it. Currently, our system recognizes events which can be classified as belonging to a single category and it also recognizes overlapping events within one article (more than one event is recognized). In each case, the system provides a confidence value associated to the suggested classification. Our system uses Information Extraction and Machine Learning technologies. The system was tested using a corpus of 200 news articles from an archive of electronic news stories describing the academic life of the Knowledge Media (KMi). In particular, these news stories describe events such as a project award, publications, visits, etc.
 
KMi Publications 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.