Ontology learning from domain specific web documents

From Ontology Learning

Jump to: navigation, search
type article
title Ontology learning from domain specific web documents
author Maryam Hazman, Samhaa R. El-Beltagy, Ahmed Rafea
editor
year
journal
pages
publisher
booktitle
series

Ontologies play a vital role in many web- and internet-related applications. This work presents a system for accelerating the ontology building process via semi-automatically learning a hierarchal ontology given a set of domain-specific web documents and a set of seed concepts. The methods are tested with web documents in the domain of agriculture. The ontology is constructed through the use of two complementary approaches. The presented system has been used to build an ontology in the agricultural domain using a set of Arabic extension documents and evaluated against a modified version of the AGROVOC ontology.

Personal tools
Namespaces
Variants
Actions
Navigation
browse data
create data
Toolbox