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» Predicting Appropriate Semantic Web Terms from Words
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NIPS
2008
14 years 11 months ago
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
In this paper, we address the question of what kind of knowledge is generally transferable from unlabeled text. We suggest and analyze the semantic correlation of words as a gener...
Yi Zhang 0010, Jeff Schneider, Artur Dubrawski
BTW
2003
Springer
140views Database» more  BTW 2003»
15 years 2 months ago
An Ontology for Domain-oriented Semantic Similarity Search on XML Data
Abstract: Query languages for XML such as XPath or XQuery support Boolean retrieval where a query result is a (possibly restructured) subset of XML elements or entire documents tha...
Anja Theobald
WWW
2005
ACM
15 years 10 months ago
SemRank: ranking complex relationship search results on the semantic web
While the idea that querying mechanisms for complex relationships (otherwise known as Semantic Associations) should be integral to Semantic Web search technologies has recently ga...
Kemafor Anyanwu, Angela Maduko, Amit P. Sheth
80
Voted
DEXAW
2010
IEEE
201views Database» more  DEXAW 2010»
14 years 8 months ago
Keyword Extraction Using Word Co-occurrence
—A common strategy to assign keywords to documents is to select the most appropriate words from the document text. One of the most important criteria for a word to be selected as...
Christian Wartena, Rogier Brussee, Wout Slakhorst
SWAP
2008
14 years 11 months ago
Combining Statistical Techniques and Lexico-syntactic Patterns for Semantic Relations Extraction from Text
We describe here a methodology to combine two different techniques for Semantic Relation Extraction from texts. On the one hand, generic lexicosyntactic patterns are applied to the...
Emiliano Giovannetti, Simone Marchi, Simonetta Mon...