The Information Retrieval Model for Computer Crime Evidence Based on Domain Ontology

摘要

To deal with the characteristics of current information retrieval model for computer crime evidence which is limited to keyword matching, this thesis proposes an information retrieval model for computer crime evidence based on domain ontology through an organized method of domain ontology. This model accepts user’s evidence retrieval requirements natural language input. By calculating the correlation and similarity between words and ontology concepts, mapping retrieval words to knowledge is achieved. On this basis, the query semantic expansion of user forensics needs is realized further. The experimental results showed that proposed evidence retrieval method obtained better retrieval results overcoming the shortcomings of keyword matching search of the traditional information retrieval method.