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» Extracting Ontologies from Relational Databases
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CIKM
2009
Springer
14 years 4 months ago
MKEM: a multi-level knowledge emergence model for mining undiscovered public knowledge
Background: Since Swanson proposed the Undiscovered Public Knowledge (UPK) model, there have been many approaches to uncover UPK by mining the biomedical literature. These earlier...
Ali Zeeshan Ijaz, Min Song, Doheon Lee
WEBDB
2007
Springer
79views Database» more  WEBDB 2007»
14 years 4 months ago
Navigating Extracted Data with Schema Discovery
Open Information Extraction (OIE) is a recently-introduced type of information extraction that extracts small individual pieces of data from input text without any domainspecific...
Michael J. Cafarella, Dan Suciu, Oren Etzioni
LREC
2010
141views Education» more  LREC 2010»
13 years 11 months ago
Evaluating Semantic Relations and Distances in the Associative Concept Dictionary using NIRS-imaging
In this study, we extracted brain activities related to semantic relations and distances to improve the precision of distance calculation among concepts in the Associated Concept ...
Nao Tatsumi, Jun Okamoto, Shun Ishizaki
TGIS
2002
175views more  TGIS 2002»
13 years 9 months ago
Using Ontologies for Integrated Geographic Information Systems
Today, there is a huge amount of data gathered about the Earth, not only from new spatial information systems, but also from new and more sophisticated data collection technologie...
Frederico T. Fonseca, Max J. Egenhofer, Peggy Agou...
IV
2008
IEEE
133views Visualization» more  IV 2008»
14 years 4 months ago
Mining Scholarly Semantic Networks from the Web
With the increased usage of the Web and its availability of data, various scholarly information is now available on the Web. Extraction, aggregation, and visualization of such inf...
Mizuki Oka, Yutaka Matsuo