본 연구는 폭소노미가 비디오 자료를 색인하고 브라우징 하는데 얼마나 유용한지 살펴본 후, 동등어, 동의어 및 관련어를 활용한 질의 확장을 통해서 수행되는 폭소노미 태그 통제가 비디오 검색에 얼마나 효율적인지 조사해 보았다. 이를 위해서, 태그들을 태그 간의 동등 및 연관 관계에 기초하여 클러스터링하고 이러한 정보를 질의 확장에 적용시킨 실험 시스템을 설계, 구현하고 이러한 제안된 시스템이 정보검색 과정에서 폭소노미의 효율성을 얼마나 개선시킬 수 있는지에 대해서 실험을 통해서 확인해 보았다. 실험 결과, 질의 확장을 통해서 태그 통제를 한 제안된 시스템은 태그 통제를 전혀 하지 않은 시스템과 비교하여, 재현율은 증가하였으나 정확률은 전혀 차이가 없는 것으로 나타났다. 본 연구 결과는 폭소노미를 디지털 비디오 도서관의 소셜 메타데이터로 적용하기 위한 하나의 방안이 될 것으로 생각된다.
This study designed a pilot system in which queries can be expanded through a tag ontology where equivalent, synonymous, or related tags are bound together, in order to improve the retrieval effectiveness of videos. We evaluated the proposed pilot system by comparing it to a tag-based system without tag control, in terms of recall and precision rates. Our study results showed that the mean recall rate in the structured folksonomy-based system was statistically higher than that in the tag-based system. On the other hand, the mean precision rate in the structured folksonomy-based system was not statistically higher than that in the tag-based system. The result of this study can be utilized as a guide on how to effectively use tags as social metadata of digital video libraries.
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