| Title | Establishing a Knowledge Base of an Expert System for Criminal Investigation |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Liao, Mancheng |
| Conference Name | 2022 3rd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE) |
| Keywords | Big Data, Case-Based Reasoning, cloud computing, criminal investigation, expert system, expert systems, Human Behavior, Inspection, knowledge base, Knowledge engineering, law enforcement, Manuals, production rule, pubcrawl, reliability, resilience, Resiliency, Scalability, security |
| Abstract | In the information era, knowledge is becoming increasingly significant for all industries, especially criminal investigation that deeply relies on intelligence and strategies. Therefore, there is an urgent need for effective management and utilization of criminal investigation knowledge. As an important branch of knowledge engineering, the expert system can simulate the thinking pattern of an expert, proposing strategies and solutions based on the knowledge stored in the knowledge base. A crucial step in building the expert system is to construct the knowledge base, which determines the function and capability of the expert system. This paper establishes a practical knowledge base for criminal investigation, combining the technologies of cloud computing with traditional method of manual entry to acquire and process knowledge. The knowledge base covers data information and expert knowledge with detailed classification of rules and cases, providing answers through comparison and reasoning. The knowledge becomes more accurate and reliable after repeated inspection and verification by human experts. |
| DOI | 10.1109/ICBAIE56435.2022.9985927 |
| Citation Key | liao_establishing_2022 |
Establishing a Knowledge Base of an Expert System for Criminal Investigation