연관 태그의 군집 알고리즘의 설계 및 구현

• 영문명: A Design and Development of A Related Tag Clustering Algorithm
• 발행기관: 한국IT서비스학회
• 저자명: 박병재(Byoung-Jae Park) 우종우(Chong-Woo Woo)
• 간행물 정보: 『한국IT서비스학회지』한국IT서비스학회지 제7권 제4호, 199~208쪽, 전체 10쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2008.12.31

영문 초록

Tagging represents one of the Web 2.0 technology, and has an appropriate mechanism for the classification of dynamically changing Web informations. This technique is capable of searching the Web informations using the user specified tags, but still it has a limitation of providing only the limited informations to the tags. Therefore, in order to search the related informations easily, we need to extend this technique further to search not only the desired informations through the designated tags and also the related informations. In this paper, we first have designed and developed an algorithm that can get a desired tag cluster, which is capable of collecting the searched tags along with the related tags. We first performed a test to compare the difference between the user collected tag data through RSS and the reduced data. The second test focused on the accuracy of extracted related tags that depends on the similarity functions, such as the Pearson Correlation and Euclidean. Finally, we showed the final results visually using the graph algorithm.

키워드

Clustering Tagging Information Search Visualization