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WWW
2005
ACM
14 years 8 months ago
Thresher: automating the unwrapping of semantic content from the World Wide Web
We describe Thresher, a system that lets non-technical users teach their browsers how to extract semantic web content from HTML documents on the World Wide Web. Users specify exam...
Andrew Hogue, David R. Karger
SEMWEB
2004
Springer
14 years 1 months ago
From Software APIs to Web Service Ontologies: A Semi-automatic Extraction Method
Successful employment of semantic web services depends on the availability of high quality ontologies to describe the domains of these services. As always, building such ontologies...
Marta Sabou
LREC
2008
155views Education» more  LREC 2008»
13 years 9 months ago
L-ISA: Learning Domain Specific Isa-Relations from the Web
Automated extraction of ontological knowledge from text corpora is a relevant task in Natural Language Processing. In this paper, we focus on the problem of finding hypernyms for ...
Alessandra Potrich, Emanuele Pianta
ECML
2001
Springer
14 years 4 days ago
Wrapping Web Information Providers by Transducer Induction
Modern agent and mediator systems communicate to a multitude of Web information providers to better satisfy user requests. They use wrappers to extract relevant information from HT...
Boris Chidlovskii
KDD
1997
ACM
169views Data Mining» more  KDD 1997»
13 years 11 months ago
Learning to Extract Text-Based Information from the World Wide Web
Thereis a wealthof informationto be minedfromnarrative text on the WorldWideWeb.Unfortunately, standard natural language processing (NLP)extraction techniques expect full, grammat...
Stephen Soderland