Hostname: page-component-74656f9884-2dmjx Total loading time: 0 Render date: 2026-11-10T09:53:14.468Z Has data issue: false hasContentIssue false

Text-based domain ontology building using Tf-Idf and metric clusters techniques

Published online by Cambridge University Press:  01 December 2007

YACINE REZGUI
Affiliation:
Informatics Research Institute, University of Salford, Maxwell Building, M5 4WT, Salford, Greater Manchester; e-mail: Y.Rezgui@salford.ac.uk
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the 'Save PDF' action button.

The paper describes the methodology used to develop a construction domain ontology, taking into account the wealth of existing semantic resources in the sector ranging from dictionaries to thesauri. Given the characteristics and settings of the construction industry, a modular, architecture-centric approach was adopted to structure and develop the ontology. The paper argues that taxonomies provide an ideal backbone for any ontology project. Therefore, a construction industry standard taxonomy was used to provide the seeds of the ontology, enriched and expanded with additional concepts extracted from large discipline-oriented document bases using information retrieval (IR) techniques.

Information

Type
Articles
Copyright
Copyright © Cambridge University Press 2007