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Issue No.05 - September/October (2010 vol.25)
pp: 20-26
Jane Malin , Residence NASA Johnson Space Center, Houston Houston
Christopher Millward , University of Central Florida, Orlando
Fernando Gomez , University of Central Florida, Orlando
David Throop , The Boeing Company, Houston
The Semantic Text Analysis Tool (STAT) helps analysts at the NASA Johnson Space Center review discrepancy reports by turning unstructured technical text into useful structured data.
aerospace, ontology design, text mining, language parsing and understanding, intelligent systems
Jane Malin, Christopher Millward, Fernando Gomez, David Throop, "Semantic Annotation of Aerospace Problem Reports to Support Text Mining", IEEE Intelligent Systems, vol.25, no. 5, pp. 20-26, September/October 2010, doi:10.1109/MIS.2010.110
1. J. Malin et al., "Integrated Visualization of Information from Requirements, Safety Analyses, and Hazard Reports," to be published in Proc. 28th Int'l System Safety Conf., 2010.
2. H. Chen and D. Zimbra, "AI and Opinion Mining," IEEE Intelligent Systems, vol. 25, no. 3, 2010, pp. 74–80.
3. C. Wartena et al., "Apolda: A Practical Tool for Semantic Annotation," Proc. 18th Int'l Workshop on Database and Expert Systems Applications, IEEE Press, 2007, pp. 288–292.
4. Y. Wilks, "The Semantic Web: Apotheosis of Annotation, but What Are its Semantics?" IEEE Intelligent Systems, vol. 23, no. 3, 2008, pp. 41–49.
5. E. Charniak, "A Maximum-Entropy Inspired Parser," Proc. 1st North Am. Chapter of the Assoc. for Computational Linguistics Conf., Morgan Kaufmann, 2000, pp. 132–139.
6. R. Campbell, "Using Linguistic Principles to Recover Empty Categories," Proc. 42nd Meeting Assoc. Computational Linguistics, ACL, 2004, pp. 646–653;
7. F. Gomez, "Building Verb Predicates: A Computational View," Proc. 42nd Meeting Assoc. Computational Linguistics, ACL, 2004, pp. 351–358;
8. J. Malin and D. Throop, "Basic Concepts and Distinctions for an Aerospace Ontology of Functions, Entities and Problems," Proc. 2007 IEEE Aerospace Conf., CD-ROM, IEEE Aerospace, 2007, pp. 1–18.
9. J. Malin et al., "Linguistic Text Mining for Problem Reports," Proc. 2009 IEEE Int'l Conf. Systems, Man and Cybernetics, IEEE Press, 2009, pp. 1578–1583.
10. H-M. Müller, E. Kenny, and P. Sternberg, "Textpresso: An Ontology-Based Information Retrieval and Extraction System for Biological Literature," PLoS Biology, vol. 2, no. 11, 2004;
11. N. Daraselia et al., "Extracting Human Protein Interactions from MEDLINE using a Full-Sentence Parser," Bioinformatics, vol. 20, no. 5, 2004, pp. 604–611.
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