<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Juffinger, A.</style></author><author><style face="normal" font="default" size="100%">Neidhart, T.</style></author><author><style face="normal" font="default" size="100%">Granitzer, M.</style></author><author><style face="normal" font="default" size="100%">Kern, R.</style></author><author><style face="normal" font="default" size="100%">Weichselbraun, A.</style></author><author><style face="normal" font="default" size="100%">Wohlgenannt, G.</style></author><author><style face="normal" font="default" size="100%">Scharl, A.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Distributed Web 2.0 crawling for ontology evolution</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Digital Information Management</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Distributed crawling</style></keyword><keyword><style  face="normal" font="default" size="100%">Executed crawling</style></keyword><keyword><style  face="normal" font="default" size="100%">Ontology evolution</style></keyword><keyword><style  face="normal" font="default" size="100%">Ontology learning</style></keyword><keyword><style  face="normal" font="default" size="100%">Web 2.0 crawling</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2009</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.scopus.com/inward/record.url?eid=2-s2.0-70350630600&amp;partnerID=40&amp;md5=7b88c38575eca72b620a0a6e113a8f55</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">7</style></volume><pages><style face="normal" font="default" size="100%">114 - 119</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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.</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><notes><style face="normal" font="default" size="100%">Export Date: 10 July 2014</style></notes></record></records></xml>