빅데이터 기반 다중언어 문화이미지프레임망 구축 구상A trial to construct the Cultural-Image-Frame-Network based on Big-data framework
- Other Titles
- A trial to construct the Cultural-Image-Frame-Network based on Big-data framework
- Authors
- 이준서; 한경수; 노웅기
- Issue Date
- Sep-2020
- Publisher
- 한국일본어학회
- Keywords
- CEMS(Cultural Element Mining System); CIFN(Cultural Image Frame Network); Big-data; Corpus; Cultural Element; Cultural Image; 文化要素抽出システム(CEMS)、文化イメージフレームネットワーク(CIFN)、ビッグデータ (Big-data)、コーパス、文化要素、文化イメージ
- Citation
- 일본어학연구, no.65, pp.131 - 142
- Journal Title
- 일본어학연구
- Number
- 65
- Start Page
- 131
- End Page
- 142
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/78342
- DOI
- 10.14817/jlak.2020.65.131
- ISSN
- 1229-7275
- Abstract
- This research is to construct the multi-lungual Cultural Image Network Element(CIFN) based on big-data framework. Our research team has already made a desktop application version Korean-Japanese CEMS at LEE & Han(2016) with a purpose of enhancing language education efficiency. Since then, we could produce several achievements which extract cultural elements from the corpus of each language. But we could find that the CEMS has several limitations i.e. 1. basically, CEMS is a desktop version application with lack of openness, 2. CEMS handles limited languages, Korean and Japanese, 3. The corpuses which CEMS depends on have only the fixed data. In this paper, we try to find out the way out to overcome the limitations which CEMS has by constructing the Cultural-Image-Frame-Network.
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Collections - IT융합대학 > 소프트웨어학과 > 1. Journal Articles
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