An automatic web wrapper for extracting information from web sources, using clustering techniques

Papadakis, N; Skoutas, D; Raftopoulos, K; Varvarigou, T

dc.contributor.author	Papadakis, N	en
dc.contributor.author	Skoutas, D	en
dc.contributor.author	Raftopoulos, K	en
dc.contributor.author	Varvarigou, T	en
dc.date.accessioned	2014-03-01T02:43:06Z
dc.date.available	2014-03-01T02:43:06Z
dc.date.issued	2005	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31234
dc.subject	Information Retrieval	en
dc.subject	Web Pages	en
dc.subject.other	Automated systems	en
dc.subject.other	Clustering techniques	en
dc.subject.other	Extracting information	en
dc.subject.other	Further utilization	en
dc.subject.other	Human intervention	en
dc.subject.other	In-buildings	en
dc.subject.other	Precision and recall	en
dc.subject.other	Semantic relationships	en
dc.subject.other	Semi-structured	en
dc.subject.other	Web page	en
dc.subject.other	Web sources	en
dc.subject.other	Web wrappers	en
dc.subject.other	Automation	en
dc.subject.other	Internet	en
dc.subject.other	World Wide Web	en
dc.subject.other	Semantic Web	en
dc.title	An automatic web wrapper for extracting information from web sources, using clustering techniques	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/SAINT.2005.12	en
heal.identifier.secondary	http://dx.doi.org/10.1109/SAINT.2005.12	en
heal.identifier.secondary	1386093	en
heal.publicationDate	2005	en
heal.abstract	We present a fully automated system (wrapper) for extracting information from semistructured web pages. The emerging need for such systems occurs due to the need for going beyond the concept of ""human browsing"" by automating the process of information retrieval enabling further utilization by targeted applications. The key idea in our novel system is to exploit the format of the information contained in the web pages discovering the underlying structure and finally map it to semantic relationships. In doing this we identify one section of the web page as the one containing the useful information and we proceed in extracting semantic tokens contained in this section by using clustering techniques and other tools of statistical origin. Our innovation consists in building a system that can operate without human intervention or training and yet achieving excellent extraction precision and recall.	en
heal.journalName	Proceedings - 2005 Symposium on Applications and the Internet, SAINT'2005	en
dc.identifier.doi	10.1109/SAINT.2005.12	en
dc.identifier.spage	24	en
dc.identifier.epage	30	en