An object-oriented expert system to reconstruct homicide scene

We propose an object-oriented (O-O) method in an expert system (ES) to collect all the evidence in crime scene, to analyze them, and to support decisions for investigators to reconstruct crime scene. In this study, we focus on homicide scene reconstruction. Our previous research proposed Mark theory and non-Mark Theory evidences in crime scene. The former one is related to physical evidences in crime scene which belongs to static knowledge (post-criminal behavior: post-CB), the latter one is contributed to the analysis of pre-criminal behavior (pre-CB) and In-CB which fit the characteristics of dynamic knowledge. ES fits the characteristics of static knowledge, neural network (NW) approaches for the dynamic knowledge. In this research, we include O-O technology for building knowledge system for the investigator by using Level-5 ES shell. It is efficient for policemen to investigate the crime, instead of not jumping into a great bunch of evidences without any indication.