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» Using multiple ontologies in information extraction
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DILS
2009
Springer
14 years 7 months ago
Slicing through the Scientific Literature
Abstract. Success in the life sciences depends on access to information in knowledge bases and literature. Finding and extracting the relevant information depends on a user's ...
Christopher J. O. Baker, Patrick Lambrix, Jonas La...
TIT
2008
111views more  TIT 2008»
14 years 9 months ago
The Bounded-Storage Model in the Presence of a Quantum Adversary
An extractor is a function that is used to extract randomness. Given an imperfect random source X and a uniform seed Y , the output (X; Y ) is close to uniform. We study properties...
Robert T. König, Barbara M. Terhal
WEBI
2010
Springer
14 years 7 months ago
Discovering Research Communities by Clustering Bibliographical Data
Today's world is characterized by the multiplicity of interconnections through many types of links between the people, that is why mining social networks appears to be an impo...
Fabrice Muhlenbach, Stéphane Lallich
KDD
2009
ACM
219views Data Mining» more  KDD 2009»
15 years 10 months ago
Structured correspondence topic models for mining captioned figures in biological literature
A major source of information (often the most crucial and informative part) in scholarly articles from scientific journals, proceedings and books are the figures that directly pro...
Amr Ahmed, Eric P. Xing, William W. Cohen, Robert ...
CORR
2010
Springer
102views Education» more  CORR 2010»
14 years 10 months ago
From RESTful Services to RDF: Connecting the Web and the Semantic Web
RESTful services on the Web expose information through retrievable resource representations that represent self-describing descriptions of resources, and through the way how these...
Rosa Alarcón, Erik Wilde