BibSonomy :: publication :: Semi-automatic extraction and modeling of ontologies using Wikipedia XML Corpus

Semi-automatic extraction and modeling of ontologies using Wikipedia XML Corpus

L. De Silva, and L. Jayaratne. Applications of Digital Information and Web Technologies, 2009. ICADIWT '09. Second International Conference on the, page 446-451. (August 2009)

Abstract

This paper introduces WikiOnto: a system that assists in the extraction and modeling of topic ontologies in a semi-automatic manner using a preprocessed document corpus derived from Wikipedia. Based on the Wikipedia XML Corpus, we present a three-tiered framework for extracting topic ontologies in quick time and a modeling environment to refine these ontologies. Using natural language processing (NLP) and other machine learning (ML) techniques along with a very rich document corpus, this system proposes a solution to a task that is generally considered extremely cumbersome. The initial results of the prototype suggest strong potential of the system to become highly successful in ontology extraction and modeling and also inspire further research on extracting ontologies from other semi-structured document corpora as well.

Description

Welcome to IEEE Xplore 2.0: Semi-automatic extraction and modeling of ontologies using Wikipedia XML Corpus

Links and resources

DOI:10.1109/ICADIWT.2009.5273871
URL:http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5273826&arnumber=5273871&count=156&index=116
BibTeX key:5273871
internal link:
?
You can use this internal link to create references to this post in your discussions. Just copy this internal link and paste it in your discussion text.
search on:

Comments or reviews  
(0)

There is no review or comment yet. You can write one!

Tags

  • Last update 4 years and 9 months ago.
  • Created 4 years and 9 months ago.

Cite this publication

Semi-automatic extraction and modeling of ontologies using Wikipedia XML Corpus

L. De Silva, and L. Jayaratne. Applications of Digital Information and Web Technologies, 2009. ICADIWT '09. Second International Conference on the, page 446-451. (August 2009)