TY - GEN
T1 - Gun Violence Tracker Using Semantic Data Integration
AU - Chhetri, Unique
AU - Kapoor, Sambhav
AU - Sivaprasad, Sidharth Koyipallil
AU - Rao Thakkalapelli, Rajalaxman
AU - Kohli, Manan
AU - Bansal, Srividya
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Numerous news stories on gun violence are being reported on the Web. Instances of mass shootings and crimes involving firearms have become common. Social media and various websites are a source of information on this. This paper focuses on using Semantic Web analysis on data retrieved online from various sources on gun violence and to track and analyze gun violence to provide a concise report on the magnitude of its effects. This paper organizes the data to make it more usable, readable, and understandable. Users will be able to track and analyze the gun violence data using a map view of the states with various details including the type of guns used, the number of victims that got injured and killed, the gender of the victims, and the incident details. This tracking system helps users create awareness of which area or state has more gun violence and be alert.
AB - Numerous news stories on gun violence are being reported on the Web. Instances of mass shootings and crimes involving firearms have become common. Social media and various websites are a source of information on this. This paper focuses on using Semantic Web analysis on data retrieved online from various sources on gun violence and to track and analyze gun violence to provide a concise report on the magnitude of its effects. This paper organizes the data to make it more usable, readable, and understandable. Users will be able to track and analyze the gun violence data using a map view of the states with various details including the type of guns used, the number of victims that got injured and killed, the gender of the victims, and the incident details. This tracking system helps users create awareness of which area or state has more gun violence and be alert.
KW - Data Integration
KW - Ontology engineering
KW - RDF
KW - Semantic Data
KW - Social media data
UR - http://www.scopus.com/inward/record.url?scp=85151519562&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85151519562&partnerID=8YFLogxK
U2 - 10.1109/ICSC56153.2023.00063
DO - 10.1109/ICSC56153.2023.00063
M3 - Conference contribution
AN - SCOPUS:85151519562
T3 - Proceedings - 17th IEEE International Conference on Semantic Computing, ICSC 2023
SP - 306
EP - 311
BT - Proceedings - 17th IEEE International Conference on Semantic Computing, ICSC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE International Conference on Semantic Computing, ICSC 2023
Y2 - 1 February 2023 through 3 February 2023
ER -