KMi Publications

Tech Reports

Tech Report kmi-03-10 Abstract


Event Recognition using Information Extraction Techniques
Techreport ID: kmi-03-10
Date: 2003
Author(s): Maria Vargas-Vera, David Celjuska
Download PDF

This paper describes a system which recognizes events on stories. Our system classifies stories and populates a KMi Planet ontology with new instances of classes defined in it. Currently, the system recognizes events which can be classified as belonging to a single category and it also recognizes overlapping events (more than one event is recognized in the story). In each case, the system provides a confidence value associated to the suggested classification. In our event recognition system we use Information Extraction and Machine Learning technologies. We have tested this system using an archive of stories describing the academic life of our institution (these stories describe events such as an project award, publications, visits, etc.)
 
KMi Publications
 

Future Internet is...


Future Internet
With over a billion users, today's Internet is arguably the most successful human artifact ever created. The Internet's physical infrastructure, software, and content now play an integral part of the lives of everyone on the planet, whether they interact with it directly or not. Now nearing its fifth decade, the Internet has shown remarkable resilience and flexibility in the face of ever increasing numbers of users, data volume, and changing usage patterns, but faces growing challenges in meetings the needs of our knowledge society. Globally, many major initiatives are underway to address the need for more scientific research, physical infrastructure investment, better education, and better utilisation of the Internet. Within Japan, USA and Europe major new initiatives have begun in the area.

To succeed the Future Internet will need to address a number of cross-cutting challenges including:

  • Scalability in the face of peer-to-peer traffic, decentralisation, and increased openness

  • Trust when government, medical, financial, personal data are increasingly trusted to the cloud, and middleware will increasingly use dynamic service selection

  • Interoperability of semantic data and metadata, and of services which will be dynamically orchestrated

  • Pervasive usability for users of mobile devices, different languages, cultures and physical abilities

  • Mobility for users who expect a seamless experience across spaces, devices, and velocities