HomeGuard: A Smart System to Deal with the Emergency Response of Domestic Violence Victims
Domestic violence is a silent crisis in the developing and underdeveloped countries, though developed countries also remain drowned in the curse of it. In developed countries, victims can easily report and ask help on the contrary in developing and underdeveloped countries victims hardly report the crimes and when it is noticed by the authority it becomes too late to save or support the victim. If this kind of problems can be identified at the very beginning of the event and proper actions can be taken, it will not only help the victim but also reduce the domestic violence crimes. This paper proposed a smart system which can extract victim situation and provide help according to it. Among of the developing and underdeveloped countries Bangladesh has been chosen though the rate of reporting of domestic violence is low, the extreme report collected by authorities is too high. Case studies collected by different NGOs relating to domestic violence have been studied and applied to extract possible condition for the victims.
Keywords: Natural language processing, Ontology, Domestic violence, Emergency, Intelligent system, Semantic web
ABOUT THE AUTHORS
Anik Islam received his Bachelor degree in Software Engineering in 2014 from American International University of Bangladesh (AIUB). He first joined Bengal Solutions Ltd. as a software engineer in 2012. Later, he joined Dynamic Software Ltd. in 2014. After that, he joined Next IT Ltd. as a software engineer. He took leave from Next IT Ltd. in order to peruse his Master degree and Ph.D. Currently, he is doing Masters in Computer science at American International University-Bangladesh (AIUB). Side by M.Sc., he is working in the Bangladesh branch of Frenclub Mobile Ltd. as a part-time team leader in the Mobile Application development team. He is seeking for Ph.D. opportunity in Computer Science related fields. His research interest includes intelligent system, semantic web, data science, human computer interaction (HCI), distributed system, internet of things (IoT), web of things (WoT) and big data.
Akter Arifa received her Bachelor degree in Computer Science and Software Engineering in 2014 from American International University-Bangladesh (AIUB). In 2014, she joined Rupshi Sweaters Ltd. as IT Manager. Currently, she is doing Masters in Computer science at American International University of Bangladesh (AIUB). Her research interest includes intelligent system, semantic web, distributed system, data mining and big data.
Bayzid Ashik Hossain
Bayzid Ashik Hossain is currently working as an assistant professor at Department of Computer Science in American International University-Bangladesh (AIUB). Previously he was working at Esolution Europe S.r.l as Software Engineer in Milan. He has completed Masters in Computer Science from University of Trento, Italy. His specialization was Software Technologies. He completed his undergraduate in Computer Science and Information Technology from Islamic University of Technology (IUT), Dhaka, Bangladesh. His research interest includes knowledge representation and management, semantic web, intelligent systems and data science.