| Authors: |
Andreas Juffinger
and Thomas Neidhart
and Albert Weichselbraun
and Gerhard Wohlgenannt
and Michael Granitzer
and Roman Kern
and Arno Scharl
|
| URL: |
http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4444293 |
| Description: |
IEEEXplore# Distributed Web2.0 crawling for ontology evolution |
| Tags: |
socialnetwork
|
| Abstract: |
Semantic Web technologies in general and ontologybased approaches in particular are considered the foundation for the next generation of information services. While ontologies enable software agents to exchange knowledge and information in a standardised, intelligent manner, describing todays vast amount of information in terms of ontological knowledge and to track the evolution of such ontologies remains a challenge. In this paper we describe Web2.0 crawling for ontology evolution. The World Wide Web, or Web for short, is due, its evolutionary properties and social network characteristics a perfect fitting data source to evolve an ontology. The decentralised structure of the Internet, the huge amount of data and upcoming Web2.0 technologies arise several challenges for a crawling system. In this paper we present a distributed crawling system with standard browser integration. The proposed system is a high performance, sitescript based noise reducing crawler, which loads standard browser equivalent content from Web2.0 resources. Furthermore we describe the integration of this spider into our ontology evolution framework. |
@inproceedings{Juffinger:2007,
title = {Distributed Web2.0 crawling for ontology evolution},
author = {Andreas Juffinger and Thomas Neidhart and Albert Weichselbraun and Gerhard Wohlgenannt and Michael Granitzer and Roman Kern and Arno Scharl},
booktitle = {Digital Information Management, 2007. ICDIM '07. 2nd International Conference on},
pages = {615-620},
url = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4444293},
volume = {2},
year = {2007},
description = {IEEEXplore# Distributed Web2.0 crawling for ontology evolution},
abstract = {Semantic Web technologies in general and ontologybased approaches in particular are considered the foundation for the next generation of information services. While ontologies enable software agents to exchange knowledge and information in a standardised, intelligent manner, describing todays vast amount of information in terms of ontological knowledge and to track the evolution of such ontologies remains a challenge. In this paper we describe Web2.0 crawling for ontology evolution. The World Wide Web, or Web for short, is due, its evolutionary properties and social network characteristics a perfect fitting data source to evolve an ontology. The decentralised structure of the Internet, the huge amount of data and upcoming Web2.0 technologies arise several challenges for a crawling system. In this paper we present a distributed crawling system with standard browser integration. The proposed system is a high performance, sitescript based noise reducing crawler, which loads standard browser equivalent content from Web2.0 resources. Furthermore we describe the integration of this spider into our ontology evolution framework.},
isbn = {978-1-4244-1476-5}, doi = {10.1109/ICDIM.2007.4444293},
keywords = {socialnetwork }
}
::