Lessons learned in the creation of a data set for hard/soft information fusion
Recent experiences in urban operations highlight the need for automated methods to help execute the data collection and association functions in the intelligence process. Technology development in this area has been challenged by the heterogeneity of data to be processed and by the diversity of pote...
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| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers
2010
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| Online Access: | http://hdl.handle.net/1721.1/60241 https://orcid.org/0000-0003-0149-5888 |
| _version_ | 1826204764031942656 |
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| author | Pravia, Marco A. Babko-Malaya, Olga Schneider, Michael K. White, James V. Chong, Chee-Yee Willsky, Alan S. |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Pravia, Marco A. Babko-Malaya, Olga Schneider, Michael K. White, James V. Chong, Chee-Yee Willsky, Alan S. |
| author_sort | Pravia, Marco A. |
| collection | MIT |
| description | Recent experiences in urban operations highlight the need for automated methods to help execute the data collection and association functions in the intelligence process. Technology development in this area has been challenged by the heterogeneity of data to be processed and by the diversity of potential applications. Here, we report lessons learned during the creation of a hard/soft data set. The data set was built using 'hard' physical sensor reports and 'soft' documents captured during training exercises simulating urban conditions. We discuss data collection issues, and we examine the information elements that can be exploited from the data. A key product in the data set is the identification of threads of insurgent activities that were observed by both hard and soft sensing modalities. We discuss the process by which the threads were identified, including an annotation procedure that structures the text information to enable association with the hard information elements. |
| first_indexed | 2024-09-23T13:01:03Z |
| format | Article |
| id | mit-1721.1/60241 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:01:03Z |
| publishDate | 2010 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/602412022-10-01T12:30:51Z Lessons learned in the creation of a data set for hard/soft information fusion Pravia, Marco A. Babko-Malaya, Olga Schneider, Michael K. White, James V. Chong, Chee-Yee Willsky, Alan S. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Willsky, Alan S. Willsky, Alan S. Recent experiences in urban operations highlight the need for automated methods to help execute the data collection and association functions in the intelligence process. Technology development in this area has been challenged by the heterogeneity of data to be processed and by the diversity of potential applications. Here, we report lessons learned during the creation of a hard/soft data set. The data set was built using 'hard' physical sensor reports and 'soft' documents captured during training exercises simulating urban conditions. We discuss data collection issues, and we examine the information elements that can be exploited from the data. A key product in the data set is the identification of threads of insurgent activities that were observed by both hard and soft sensing modalities. We discuss the process by which the threads were identified, including an annotation procedure that structures the text information to enable association with the hard information elements. United States. Army Research Office 2010-12-08T20:42:46Z 2010-12-08T20:42:46Z 2009-08 2009-07 Article http://purl.org/eprint/type/ConferencePaper 978-0-9824-4380-4 INSPEC Accession Number: 10836588 http://hdl.handle.net/1721.1/60241 Pravia, M.A. et al. “Lessons learned in the creation of a data set for hard/soft information fusion.” Information Fusion, 2009. FUSION '09. 12th International Conference on. 2009. 2114-2121. ©2009 IEEE. https://orcid.org/0000-0003-0149-5888 en_US 12th International Conference on Information Fusion, 2009. FUSION '09 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers IEEE |
| spellingShingle | Pravia, Marco A. Babko-Malaya, Olga Schneider, Michael K. White, James V. Chong, Chee-Yee Willsky, Alan S. Lessons learned in the creation of a data set for hard/soft information fusion |
| title | Lessons learned in the creation of a data set for hard/soft information fusion |
| title_full | Lessons learned in the creation of a data set for hard/soft information fusion |
| title_fullStr | Lessons learned in the creation of a data set for hard/soft information fusion |
| title_full_unstemmed | Lessons learned in the creation of a data set for hard/soft information fusion |
| title_short | Lessons learned in the creation of a data set for hard/soft information fusion |
| title_sort | lessons learned in the creation of a data set for hard soft information fusion |
| url | http://hdl.handle.net/1721.1/60241 https://orcid.org/0000-0003-0149-5888 |
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