TY - GEN
T1 - TASC - Crime report visualization for investigative analysis
T2 - 2012 IEEE 13th International Conference on Information Reuse and Integration, IRI 2012
AU - Ku, Chih Hao
AU - Nguyen, James H.
AU - Leroy, Gondy
PY - 2012
Y1 - 2012
N2 - The growing number of textual reports poses a great challenge for investigative analysis. However, text visualization has the potential to address this problem by automating the analysis of text reports, thus reducing workloads and providing new insights for crime analysts. We are developing a crime report visualization system for such investigative analysis. Our system leverages natural language processing and visualization techniques to enhance decision support. To measure its usefulness, we conducted a case study to compare the use of our system with a traditional paper-based approach to identify crime reports discussing the same crime. The crime analyst discovered 4 out of 5 crime reports correctly among 40 reports using either the paper-based or system-based approach. However, less time was spent on the tasks using our system compared to the paper-based approach. Our interface and visualization components such as the highlighting function were rated positively by the crime analyst.
AB - The growing number of textual reports poses a great challenge for investigative analysis. However, text visualization has the potential to address this problem by automating the analysis of text reports, thus reducing workloads and providing new insights for crime analysts. We are developing a crime report visualization system for such investigative analysis. Our system leverages natural language processing and visualization techniques to enhance decision support. To measure its usefulness, we conducted a case study to compare the use of our system with a traditional paper-based approach to identify crime reports discussing the same crime. The crime analyst discovered 4 out of 5 crime reports correctly among 40 reports using either the paper-based or system-based approach. However, less time was spent on the tasks using our system compared to the paper-based approach. Our interface and visualization components such as the highlighting function were rated positively by the crime analyst.
KW - Human-computer interaction
KW - Information visualization
KW - Text Mining
UR - http://www.scopus.com/inward/record.url?scp=84868329952&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84868329952&partnerID=8YFLogxK
U2 - 10.1109/IRI.2012.6303045
DO - 10.1109/IRI.2012.6303045
M3 - Conference contribution
AN - SCOPUS:84868329952
SN - 9781467322843
T3 - Proceedings of the 2012 IEEE 13th International Conference on Information Reuse and Integration, IRI 2012
SP - 466
EP - 473
BT - Proceedings of the 2012 IEEE 13th International Conference on Information Reuse and Integration, IRI 2012
Y2 - 8 August 2012 through 10 August 2012
ER -