• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.54-62
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• 2009

To avoid the redundant investment on the project selection process, it is necessary to check whether the submitted research topics have been proposed or carried out at other institutions before. This is possible through the search engines adopted by the keyword matching algorithm which is based on boolean techniques in national-sized research results database. Even though the accuracy and speed of information retrieval have been improved, they still have fundamental limits caused by keyword matching. This paper examines implemented TFIDF-based algorithm, and shows an experiment in search engine to retrieve and give the order of priority for similar and redundant documents compared with research proposals, In addition to generic TFIDF algorithm, feature weighting and K-Nearest Neighbors classification methods are implemented in this algorithm. The documents are extracted from NDSL(National Digital Science Library) web directory service to test the algorithm.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.6
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• pp.151-156
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• 2020

Various institutions provide various welfare-related services, and accordingly, the quantity and quality of welfare-related services are improved. Along with the improvement of welfare services, the rate of fraudulent and redundant supply and demand due to inappropriate applicants is also increasing. In particular, in the case of similarly promoted projects by various institutions, confirmation of duplicate applications may be insufficient due to system inconsistency between institutions and delays in qualification verification, which may result in duplicate supply and demand. In this paper, in order to prevent the redundant supply and demand related to welfare service similar projects in various institutions, the problem of data management and sharing between institutions was reviewed and a method of applying blockchain technology was proposed step by step. Through the proposal of this paper, transparent data management of recipients is possible, and through this, trust-based welfare benefit management will be possible.