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Associative search through Formal Concept Analysis in Criminal Intelligence Analysis
- Source :
- SMC
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
Abstract
- Criminal Intelligence Analysis often requires a search different from the semantic and keyword based searching to reveal the associations among semantically and operationally connected objects within a crime knowledge base. In this paper we introduce associative search as a search along the networks of association between objects like people, places, other organizations, products, events, services, and so on. We also propose an associative search model based on the 5WH associated concepts of a crime, i.e. WHAT (what has happened), WHO (who was involved in the crime), WHEN (the temporal information of the crime), WHERE (the geo-spatial information of the crime) HOW (the modus-operandi used in committing a crime). We have employed Formal Concept Analysis theory to reveal the associations, highlighting Hot Spots, offender's profile and its associated offenders in a criminal activity.
- Subjects :
- Information retrieval
Computer science
business.industry
Association (object-oriented programming)
Context (language use)
02 engineering and technology
16. Peace & justice
Machine learning
computer.software_genre
Market research
Knowledge base
0202 electrical engineering, electronic engineering, information engineering
Formal concept analysis
Criminal intelligence
020201 artificial intelligence & image processing
Associative search
Artificial intelligence
business
computer
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
- Accession number :
- edsair.doi...........290bd9d7ded4c3d1cb5ab8a49855b37e
- Full Text :
- https://doi.org/10.1109/smc.2016.7844519