The Open UniversitySkip to content

Ontology-driven document enrichment: principles, tools and applications

Motta, Enrico; Buckingham Shum, Simon and Domingue, John (2000). Ontology-driven document enrichment: principles, tools and applications. International Journal of Human-Computer Studies, 52(6) pp. 1071–1109.

Full text available as:
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB)
DOI (Digital Object Identifier) Link:
Google Scholar: Look up in Google Scholar


In this paper, we present an approach to document enrichment, which consists of developing and integrating formal knowledge models with archives of documents, to provide intelligent knowledge retrieval and (possibly) additional knowledge-intensive services, beyond what is currently available using “standard” information retrieval and search facilities. Our approach is ontology-driven, in the sense that the construction of the knowledge model is carried out in a top-down fashion, by populating a given ontology, rather than in a bottom-up fashion, by annotating a particular document. In this paper, we give an overview of the approach and we examine the various types of issues (e.g. modelling, organizational and user interface issues) which need to be tackled to effectively deploy our approach in the workplace. In addition, we also discuss a number of technologies we have developed to support ontology-driven document enrichment and we illustrate our ideas in the domains of electronic news publishing, scholarly discourse and medical guidelines.

Item Type: Journal Item
Copyright Holders: 2000 Academic Press
ISSN: 1071-5819
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetEnrich [P29015]
Not SetNot SetPatMan [P4017]
Keywords: semantic web; ontologies; knowledge modelling; digital documents; document retrieval; intelligent news servers; scholarly discourse; medical informatics
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 23355
Depositing User: Kay Dave
Date Deposited: 28 Mar 2011 09:00
Last Modified: 15 Jan 2019 06:59
Share this page:


Altmetrics from Altmetric

Citations from Dimensions

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU