A Novel Ontology Construction and Reasoning Approach Based on the Case Investigation

Abstract

The big data has become a key component for intelligent systems and it is very important about data mining and cognitive reasoning in the field of criminal data analysis. Modeling of investigation knowledge is very important to realize the semantic retrieval, knowledge discovery, information push and classification for case data. Ontology modeling combined with the characteristics of the case in the investigation process, a method of ontology construction based on investigation knowledge is proposed in this paper. It builds an organization system of the investigation process at the first, which is described in stages by collecting terminology. Then the ontology of investigation knowledge is constructed. In addition, an instance is added for verification to describe the investigation process in detail. The method has a good advantage of describing the detection process quickly and integrate knowledge according to different investigation stages, formulating a standardized organization mode and providing standardized knowledge assistance in the investigation process.

Emergency Decision Making for Electric Power Personal Accidents Based on Ontology and Case-Based Reasoning

“…With the increasing attention paid to power grid emergencies, the advantages of ontology technology and CBR in solving this problem have been demonstrated [53,54]. The combination of ontology technology and CBR will be able to better and effectively solve emergency decision-making problems for grid incidents.…”