The University of Southampton
University of Southampton Institutional Repository

Automatic Ontology-Based Knowledge Extraction from Web Documents

Alani, Harith, Kim, Sanghee, Millard, David E., Weal, Mark J., Hall, Wendy, Lewis, Paul H. and Shadbolt, Nigel R. (2003) Automatic Ontology-Based Knowledge Extraction from Web Documents IEEE Intelligent Systems, 18, (1), pp. 14-21.

Record type: Article


To bring the Semantic Web to life and provide advanced knowledge services, we need efficient ways to access and extract knowledge from Web documents. Although Web page annotations could facilitate such knowledge gathering, annotations are rare and will probably never be rich or detailed enough to cover all the knowledge these documents contain. Manual annotation is impractical and unscalable, and automatic annotation tools remain largely undeveloped. Specialized knowledge services therefore require tools that can search and extract specific knowledge directly from unstructured text on the Web, guided by an ontology that details what type of knowledge to harvest. An ontology uses concepts and relations to classify domain knowledge. Other researchers have used ontologies to support knowledge extraction,1,2 but few have explored their full potential in this domain. The Artequakt project links a knowledge-extraction tool with an ontology to achieve continuous knowledge support and guide information extraction. The extraction tool searches online documents and extracts knowledge that matches the given classification structure. It provides this knowledge in a machine-readable format that will be automatically maintained in a knowledge base (KB). Users could further enhance knowledge extraction using a lexicon-based term expansion mechanism that provides extended ontology terminology.

PDF Alani-IEEE-IS-2002.pdf - Other
Download (4MB)

More information

Published date: January 2003
Organisations: Web & Internet Science


Local EPrints ID: 257396
ISSN: 1541-1672
PURE UUID: df4550ad-5d12-4ae0-ac5c-dbb7d77918ef
ORCID for David E. Millard: ORCID iD
ORCID for Mark J. Weal: ORCID iD
ORCID for Wendy Hall: ORCID iD

Catalogue record

Date deposited: 14 Apr 2003
Last modified: 18 Jul 2017 09:39

Export record


Author: Harith Alani
Author: Sanghee Kim
Author: David E. Millard ORCID iD
Author: Mark J. Weal ORCID iD
Author: Wendy Hall ORCID iD
Author: Paul H. Lewis

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 supports OAI 2.0 with a base URL of

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.