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.

Highlights

  • The big data has become a key component for intelligent systems, such as intelligent vehicular networks, smart cities and it has been applied in the field of criminal data analysis

  • It is an effective way to use the case ontology modeling for clue analysis, which must be built on the basis of modeling ontology for the case investigation

  • This paper focuses on applying ontology theory to build the investigation knowledge models combined with the implementation process of case investigation

Read more

Summary

Introduction

The big data has become a key component for intelligent systems, such as intelligent vehicular networks, smart cities and it has been applied in the field of criminal data analysis This interconnectivity together with large-scale data processing and new electronic techniques steadily brings innovation and business models of the digital space into the physical world [1,2,3]. It would extend tradition data technologies by incorporating knowledge from domain experts as well as the latest artificial intelligence solution, such as how to perform decision support with the case data collected by secure systems. Based on the above process, the content and the construction of case investigation ontology can be modeled

Background and Related Work
The Implementation Process Based on Ontology Theory
Organization of Case Investigation
Terminology Collection
Stage Construction
The Construction of Inter-stage Relationship
The Evaluation and Evolution for an Ontology
Semantic Reasoning Based on the Case Ontology
The Ontology Model of Theft Case
The Ontological Experiment of Semantic Reasoning for the Theft Case
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call