@article{193,
  author = {Andreas Juffinger, Thomas Neidhart,Michael Granitzer, Roman Kern,Albert Weichselbraun, Gerhard Wohlgenannt,Arno Scharl},
  title = {Distributed Web 2.0 Crawling for Ontology Evolution},
  journal = {Journal of Digital Information Management},
  year = {2009},
  volume = {7},
  number = {2},
  doi = {},
  url = {http://www.dirf.org/jdim/v7n2a7.asp},
  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 performanceWeb data retrieval system aimed to gather browser-equivalent textual Web content and prepare it for ontology learning.},
}