An ontology framework for recommendation about a crime scene investigation

Currently, process of recording the evidence at the scene of the forensic science of police center is facing a problem of long delay, information redundancy and disorganized structure. The semantic analysis found that words and phrases in case reports are semantic structures. Moreover, the content of a case report can be represented by the knowledge base concept (Ontology). This research developed ontology to recommend words to fill-in a case report of the crime scene investigation report about properties for the Forensic Science Police Center 4 of Thailand. The purpose is to suggest words or sentenceswhich areappropriate and have most possibilities to be used by users. The rules of ontology were defined based on theexisting documents. The ontology was bringing into acknowledge feeding unitof an application program on a tablet with Android OS to enhance the performance of the crime scene investigation process. The figures of merit of the ontology were measured by filling-in of 30 real crime cases. The results were 82.50%, 96.67% and 88.49% of precision, recall and F-measure, respectively.Thus, the suggestions based on the developed ontology can reduce the key stroke and get a shortening the time, higher accuracy and more standardized document.