Data mining for ontology development. Page: 3 of 54
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Printed June 2010
Data Mining for Ontology Development
George S. Davidson and David A. Schoenwald
Computation, Computers, Information and Mathematics
Sandia National Laboratories
P.O. Box 5800
Albuquerque, NM 87185-1316
Richard Ward, Regina Ferrell and Alexandre Sorokine
Oak Ridge National Laboratory
1060 Commerce Park Drive
Oak Ridge, TN 37830-8026
James Bollinger and Eugene Shine
Savannah River National Laboratory
Savannah River Site
Aiken, SC 29808
Vinita Ghosh, Carl Czajkowski, Lev Neymotin, and David Stampf
Brookhaven National Laboratory
P.O. Box 5000
Upton, NY 11973-5000
Pacific Northwest National Laboratory
P.O. Box 999
Richland, WA 99352
A multi-laboratory ontology construction effort during the summer and fall of
2009 prototyped an ontology for counterfeit semiconductor manufacturing.
This effort included an ontology development team and an ontology validation
methods team. Here the third team of the Ontology Project, the Data Analysis
(DA) team reports on their approaches, the tools they used, and results for
mining literature for terminology pertinent to counterfeit semiconductor
manufacturing. A discussion of the value of ontology-based analysis is
presented, with insights drawn from other ontology-based methods regularly
used in the analysis of genomic experiments. Finally, suggestions for future
work are offered.
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Davidson, George S.; Strasburg, Jana (Pacific Northwest National Laboratory, Richland, WA); Stampf, David (Brookhaven National Laboratory, Upton, NY); Neymotin,Lev (Brookhaven National Laboratory, Upton, NY); Czajkowski, Carl (Brookhaven National Laboratory, Upton, NY); Shine, Eugene (Savannah River National Laboratory, Aiken, SC) et al. Data mining for ontology development., report, June 1, 2010; United States. (digital.library.unt.edu/ark:/67531/metadc1013838/m1/3/: accessed January 17, 2019), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.