Computer Crime Investigation by Means of Fuzzy Semantic Maps

This work introduces an architecture for data mining and knowledge discovery, applied in a effective real world domain, i.e. computer forensics and digital evidence. The approach integrates Computational Intelligence techniques and Semantic Web methodologies in a distributed agent-based environment. The system elicits conceptual representation of textual resources and generates an automatic catalogue, whose categories evolve in a continuous learning process.