@article {175,
	title = {Distributed Web 2.0 crawling for ontology evolution},
	journal = {Journal of Digital Information Management},
	volume = {7},
	year = {2009},
	note = {Export Date: 10 July 2014},
	month = {2009},
	pages = {114 - 119},
	abstract = {The World Wide Web as a social network reflects changes of interest in certain domains. It has been shown that free online content available through blogs, wikis, news media and online forums is a valuable source of information to identify trends in certain domains. Utilizing this data, one can construct ontologies that describe this information and provide a semantically correct overview of a domain. Tracked over time this also enables a user to identify trends and hypes. The decentralised structure of the Internet, the huge amount of data and upcoming Web2.0 technologies pose several challenges to a crawling system for ontology learning, evolution and trend analysis. This paper presents a distributed crawling system with browser integration for Web2.0. The proposed crawler is a high performance Web data retrieval system aimed to gather browser-equivalent textual Web content and prepare it for ontology learning.},
	keywords = {Distributed crawling, Executed crawling, Ontology evolution, Ontology learning, Web 2.0 crawling},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70350630600\&partnerID=40\&md5=7b88c38575eca72b620a0a6e113a8f55},
	author = {Juffinger, A. and Neidhart, T. and Granitzer, M. and Kern, R. and Weichselbraun, A. and Wohlgenannt, G. and Scharl, A.}
}
