The Open UniversitySkip to content

OWL to English: a tool for generating organised easily-navigated hypertexts from ontologies

Third, Allan; Williams, Sandra and Power, Richard (2011). OWL to English: a tool for generating organised easily-navigated hypertexts from ontologies. In: 10th International Semantic Web Conference (ISWC 2011), 23 - 27 Oct 2011, Bonn, Germany.

Full text available as:
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (208Kb)
Google Scholar: Look up in Google Scholar


It has frequently been observed that domain experts are not necessarily ontology experts, and that the production of ontologies would be aided if they could read and edit axioms in natural language. The SWAT Tools Verbaliser is available, via a web interface, for verbalising OWL ontologies as texts in a controlled fragment of English. Taking as input any OWL ontology, the verbaliser creates a lexicon containing entries for all the entities in the input, and uses it to generate an English sentence corresponding to each logical axiom. These sentences are then organised into a document structure similar to that of an encyclopaedia, with an entry providing a definition, typology and examples for each entity. The output is either organised, easily-navigable English text encoded in XML, or a copy of the input OWL in which each entity is annotated with its description entry. The generated texts have been evaluated in a number of ways which are briefly presented here.

Item Type: Conference Item
Copyright Holders: 2011 ISWC
Academic Unit/Department: Knowledge Media Institute
Mathematics, Computing and Technology > Computing & Communications
Mathematics, Computing and Technology
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 29939
Depositing User: Allan Third
Date Deposited: 17 Nov 2011 09:26
Last Modified: 23 Feb 2016 19:49
Share this page:

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.

▼ Automated document suggestions from open access sources

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340