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» Categorisation of web documents using extraction ontologies
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SEMWEB
2010
Springer
13 years 2 months ago
Modeling vs encoding for the Semantic Web
The Semantic Web emphasizes encoding over modeling. It is built on the premise that ontology engineers can say something useful about the semantics of vocabularies by expressing th...
Werner Kuhn
TMM
2002
140views more  TMM 2002»
13 years 7 months ago
Narrowing the semantic gap - improved text-based web document retrieval using visual features
In this paper, we present the results of our work that seek to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This wo...
Rong Zhao, William I. Grosky
LREC
2010
175views Education» more  LREC 2010»
13 years 9 months ago
Inducing Ontologies from Folksonomies using Natural Language Understanding
Folksonomies are unsystematic, unsophisticated collections of keywords associated by social bookmarking users to web content and, despite their inconsistency problems (typographic...
Marta Tatu, Dan I. Moldovan
CIKM
2007
Springer
14 years 2 months ago
The role of documents vs. queries in extracting class attributes from text
Challenging the implicit reliance on document collections, this paper discusses the pros and cons of using query logs rather than document collections, as self-contained sources o...
Marius Pasca, Benjamin Van Durme, Nikesh Garera
PRIS
2004
13 years 9 months ago
Learning Text Extraction Rules, without Ignoring Stop Words
Information Extraction (IE) from text /web documents has become an important application area of AI. As the number of web sites and documents has grown dramatically, the users need...
João Cordeiro, Pavel Brazdil