Abstract
Evidence plays an extremely important role in legal proceedings, historical research, and diplomatic disputes. In recent years, more and more evidence data has been presented in the form of electronic data. Therefore, the extraction, organization, and validation of knowledge in electronic evidence also seem more and more important. In order to effectively organize the evidence data and construct the Chain of Evidence that can meet the practical needs, this paper uses Knowledge Graph based method to conduct relevance of evidence research. Firstly, through Knowledge Extraction, Knowledge Fusion, Knowledge Reasoning, the evidence data Knowledge Graph is constructed. After that, the Chain of Evidence will be built through evidence correlation and evidence influence evaluation, and finally different forms of knowledge presentation are carried out for different users. In this paper, the work and process of evidence chain association based on knowledge map are introduced, and the possible research direction in the future is prospected.
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Liu, Y., Shi, J., Han, J., Lu, M. (2020). Research on Chain of Evidence Based on Knowledge Graph. In: Sun, X., Wang, J., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2020. Lecture Notes in Computer Science(), vol 12240. Springer, Cham. https://doi.org/10.1007/978-3-030-57881-7_3
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DOI: https://doi.org/10.1007/978-3-030-57881-7_3
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