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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
이준서한경수노웅기
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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