The University of Southampton
University of Southampton Institutional Repository

Template-driven information extraction for populating ontologies

Vargas-Vera, Maria, Dominque, John, Kalfoglou, Yannis, Motta, Enrico and Buckingham-Schum, Simon (2001) Template-driven information extraction for populating ontologies At IJCAI'01 Workshop on Ontology Learning.

Record type: Conference or Workshop Item (Paper)

Abstract

We address the integration of information extraction(IE) and ontologies. In particular, using an ontology to aid the IE process, and using the IE results to help populate the ontology. We perform IE by means of domain specific templates and the lightweight use of Natural Language Processing(NLP) techniques. Our main goal is to learn information from texts by the use of templates and in this way to alleviate the main bottleneck in creating knowledge-base systems that is "the extraction of knowledge". Our domain of study is "KMi Planet", a Web-based news server for communication of stories between members in our institute. The main goals of our system are to classify an incoming story, obtain the relevant objects within the story, deduce the relationships between them, and to populate the ontology. Furthermore, we aim to do this with minimal help from the user.

PDF kmi-tr-105.pdf - Other
Download (232kB)

More information

Published date: 2001
Additional Information: Event Dates: August 2001
Venue - Dates: IJCAI'01 Workshop on Ontology Learning, 2001-08-01
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 260531
URI: http://eprints.soton.ac.uk/id/eprint/260531
PURE UUID: 4008ec1a-d9c5-4bc7-b982-2429dfe7400c

Catalogue record

Date deposited: 17 Feb 2005
Last modified: 18 Jul 2017 09:12

Export record

Contributors

Author: Maria Vargas-Vera
Author: John Dominque
Author: Yannis Kalfoglou
Author: Enrico Motta
Author: Simon Buckingham-Schum

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×