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Improvement of Profiling System Using Artificial Intelligence Search Function

  • Legal Theory & Practice Review
  • Abbr : LTPR
  • 2021, 9(3), pp.327-343
  • Publisher : The Korea Society for Legal Theory and Practice Inc.
  • Research Area : Social Science > Law
  • Received : July 20, 2021
  • Accepted : August 27, 2021
  • Published : August 31, 2021

Lee Keon Su 1

1백석대학교

Candidate

ABSTRACT

The police are receiving real-time reports on missing persons, and the information search system is convenient for the missing language search system depending on the situation, requiring quick search and reliable results. Accordingly, it requires accurate supply of missing-related information, not just a list of missing-related information, but also association of information and organization of documents. Currently, the police are at the threshold of checking missing data using simple search functions in the profiling system. With telecommunication mobile equipment expanding, there is no dedicated search engine for mobile devices. Therefore, the system compatibility of mobile hardware and the utilization of profiling system DB should be increased. Through the development of the Internet and the development of the information system following the establishment of the database, the police have accumulated a huge amount of event-related information, and related information is also being generated at this point in time. Despite this environment, however, police have not been able to quickly find exactly all the information they need in the entire data. In the profiling system, searching for missing persons-related information has significantly increased the need for efficient real-time retrieval of the information desired by the responsible missing officer from this large amount of information. Within the profiling system, searches are currently being conducted with limited content to check and understand related data through the natural language word search function. Within the profiling system, various information retrieval systems related to missing persons should be developed as needed. The content of information retrieval technology is rapidly increasing due to the development of police information technology, such as search for missing documents, web document search, query response, document classification by type of missing persons, user interface technology, and missing documents summary system. Under these circumstances, the police would like to propose ways to activate missing investigations by establishing an artificial intelligence classification search system through general keyword search and classification search.

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This paper was written with support from the National Research Foundation of Korea.
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