. (2007). “Distributed Web2.0 Crawling for Ontology Evolution”. Proceedings of the Second International Conference on Digital Information Management (ICDIM'07), Lyon, France
Semantic Web technologies in general and ontology- based 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.