FemaRepViz: Automatic extraction and geo-temporal visualization of FEMA national situation updates

VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings

Volumn , Issue , 2007, Pages 11-18

  Pan, Chi Chun ^a   Mitra, Prasenjit ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Geo temporal visualization; Geospatial analytics; Knowledge discovery; Text processing; Visual analytics

Indexed keywords

AUTOMATIC EXTRACTION; CENTRAL COMPONENT; DEPENDENCY TREE; GEO-SPATIAL; GOOGLE EARTH; GOOGLE MAPS; MACHINE-LEARNING; NAME DISAMBIGUATION; NAMED ENTITY (NE); NOVEL CLUSTERING; RAPID ANALYSIS; TEXT DOCUMENTS; TIME-PERIODS; VISUAL ANALYTICS; VISUALIZING INFORMATION; WEB SITE;

BOOLEAN FUNCTIONS; CLUSTERING ALGORITHMS; COMPUTER PROGRAMMING LANGUAGES; FORTRAN (PROGRAMMING LANGUAGE); INFORMATION ANALYSIS; INTERNET; LEARNING ALGORITHMS; LOCATION; MAPS; WEBSITES;

TREES (MATHEMATICS);

EID: 47349093410     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VAST.2007.4388991     Document Type: Conference Paper

References (19)

1. GATE: General architecture for text engineering. http://gate.ac.uk.
2. HEALTHmap. http://www.healthmap.org/.
3. LingPipe. http://www.alias-i.comnlingpipe/.
4. RSOE HAVARIA AlertMap. http://hisz.rsoe.hu/alertmap/woalert.php?lang=eng.
5. On-line new event detection and tracking. ACM Press, 1998.
6. A. Aizerman, E. M. Braverman, and L. I. Rozoner. Theoretical foundations of the potential function method in pattern recognition learning. Automation and Remote Control, 25:821 -837, 1964.
7. S. Bechhofer, F. van Harmelen, J. Hendler, I. Horrocks, D. McGuinness, P. Patel-Schneider, and L. Stein. Owl web ontology language reference. Technical report, W3C.
8. R. C. Bunescu and R. J. Mooney. A shortest path dependency kernel for relation extraction. In Proceedings of the Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, pages 724-731, October 2005.
9. C.-C. Chang and C.-J. Lin. LIBSVM: a library for support vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/ cjlin/libsvm.
10. C. Cortes and V. Vapnik. Support-vector networks. Machine Learning, 20(3):273-297, 1995.
11. A. Culotta and J. Sorensen. Dependency tree kernels for relation extraction. In ACL, 2004.
12. M. A. Greenwood and M. Stevenson. Improving semi-supervised acquisition of relation extraction patterns. In Proceedings of the Workshop on Information Extraction Beyond The Document, pages 29-35, Sydney, Australia, July 2006. Association for Computational Linguistics.
13. S. M. Harabagiu, C. A. Bejan, and P. Morarescu. Shallow semantics for relation extraction. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI '05), pages 1061-1066, Edinburgh, Scotland, UK, 2005.
14. F. Peng, D. Schuurmans, and S. Wang. Language and task independent text categorization with simple language models. In NAACL '03: Proceedings of the 2003 Conference of the North American Chapter ofthe Associationfor Computational Linguistics on Human Language Technology, pages 110- 117, Morristown, NJ, USA, 2003. Association for Computational Linguistics.
15. D. Roth and W.-T. Yih. A linear programming formulation for global inference in natural language tasks. In Proceedings of CoNLL-2004, 2004.
16. B. Sun, P. Mitra, L. C. Giles, J. Yen, and H. Zha. Topic segmentation with shared topic detection and alignment of multiple documents. In SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, pages 199-206, New York, NY, USA, 2007. ACM Press.
17. A. M. ,et al. Ace 2004 multilingual training corpus. Linguistic Data Consortium, Philadelphia, 2005.
18. D. Zelenko, C. Aone, and A. Richardella. Kernel methods for relation extraction. Journal ofMachine Learning Research, 3:1083-1106, 2003.
19. S. Zhao and R. Grishman. Extracting relations with integrated information using kernel methods. In ACL '05: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, pages 419-426, Morristown, NJ, USA, 2005. Association for Computational Linguistics.