Biblio

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.

T138 combat cyber crimes, electronic evidence have played an increasing role, but in judicial practice the electronic evidence were not highly applied because of the natural contradiction between the epistemic uncertainty of electronic evidence and the principle of discretionary evidence of judge in the court. in this paper, we put forward a layer-built method to analyze the relevancy of electronic evidence, and discussed their analytical process combined with the case study. The initial practice shows the model is feasible and has a consulting value in analyzing the relevancy of electronic evidence.