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» Unsupervised and Domain Independent Ontology Learning: Combi...
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LREC
2008
110views Education» more  LREC 2008»
13 years 5 months ago
Unsupervised and Domain Independent Ontology Learning: Combining Heterogeneous Sources of Evidence
Acquiring knowledge from the Web to build domain ontologies has become a common practice in the Ontological Engineering field. The vast amount of freely available information allo...
David Manzano-Macho, Asunción Gómez-...
JUCS
2008
196views more  JUCS 2008»
13 years 4 months ago
Information Integration for the Masses
Abstract: Information integration applications combine data from heterogeneous sources to assist the user in solving repetitive data-intensive tasks. Currently, such applications r...
Jim Blythe, Dipsy Kapoor, Craig A. Knoblock, Krist...
IEAAIE
2003
Springer
13 years 9 months ago
Intelligent Support for Solving Classification Differences in Statistical Information Integration
Integration of heterogeneous statistics is essential for political decision making on all levels. Like in intelligent information integration in general, the problem is to combine ...
Catholijn M. Jonker, Tim Verwaart
WWW
2005
ACM
13 years 10 months ago
Shared lexicon for distributed annotations on the Web
The interoperability among distributed and autonomous systems is the ultimate challenge facing the semantic web. Heterogeneity of data representation is the main source of problem...
Paolo Avesani, Marco Cova
BMCBI
2006
183views more  BMCBI 2006»
13 years 4 months ago
Mining gene expression data by interpreting principal components
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
Joseph C. Roden, Brandon W. King, Diane Trout, Ali...