$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

텍스트마이닝을 위한 패션 속성 분류체계 및 말뭉치 웹사전 구축
Development of Online Fashion Thesaurus and Taxonomy for Text Mining 원문보기

한국의류학회지 = Journal of the Korean Society of Clothing and Textiles, v.46 no.6, 2022년, pp.1142 - 1160  

장세윤 (서울대학교 생활과학연구소) ,  김하연 (군산대학교 의류학과) ,  김송미 (서울대학교 의류학과) ,  최우진 (서울대학교 의류학과) ,  정진 (서울대학교 의류학과) ,  이유리 (서울대학교 의류학과)

Abstract AI-Helper 아이콘AI-Helper

Text data plays a significant role in understanding and analyzing trends in consumer, business, and social sectors. For text analysis, there must be a corpus that reflects specific domain knowledge. However, in the field of fashion, the professional corpus is insufficient. This study aims to develop...

주제어

참고문헌 (66)

  1. Ahn, D. J. (2016). Textile science: Merchandiser에게 꼭 필요?한 섬유지식 (2판) [Textile science: Fiber knowledge essential to merchandiser (2nd ed.)]. Seoul: Hanol. 

  2. Ajmani, S., Ghosh, H., Mallik, A., & Chaudhury, S. (2013). An?ontology based personalized garment recommendation system. Proceedings of the 2013 IEEE/WIC/ACM International?Joint Conferences on Web Intelligence (WI) and Intelligent?Agent Technologies (IAT), USA, 03, 17-20. doi:10.1109/WI-IAT.2013.143 

  3. Baek, J. H., & Bae, S. J. (2017). A study on the utilization characteristics of art print for strengthening visual identity of?fashion brand. Journal of the Korean Society of Design Culture, 23(3), 401-419. doi:10.18208/ksdc.2017.23.3.401 

  4. Bengfort, B., Bilbro, R., & Ojeda, T. (2018). Applied text analysis with Python: Enabling language-aware data products?with machine learning. Sebastopol, CA: O'Reilly Media, Inc. 

  5. Bollacker, K., Diaz-Rodriguez, N., & Li, X. (2016, January 1).?Beyond clothing ontologies: Modeling fashion with subjective influence networks. Paper presented at the KDD Workshop on Machine Learning meets Fashion, San Francisco,?CA. 

  6. Cha, S. (2018). A study on the tone classification system of KS?A 0011 in the perspective of chromatics. Journal of Korea?Society of Color Studies, 32(2), 129-150. doi:10.17289/jkscs.32.2.201805.129 

  7. Chakraborty, S., Hoque, S. M. A., & Kabir, S. M. F. (2020). Predicting fashion trend using runway images: application of logistic regression in trend forecasting. International Journal?of Fashion Design, Technology and Education, 13(3), 376-386. doi:10.1080/17543266.2020.1829096 

  8. Choi, J. I. (2014). 불한 웹사전의 신조어 수용 [A reflection on?neologisms in the French-Korean dictionary on the web].?Etudes de Langues et Litterature Francaises, 100, 813-834. 

  9. Choi, Y.-H., & Lee, K.-H. (2020). Ethical fashion research trend?using text mining: Network analysis of the published literature 2009-2019. Fashion & Textile Research Journal, 22(2), 181-191. doi:10.5805/SFTI.2020.22.2.181 

  10. Choo, S. (2001). Images of fashion fabric based on color and?texture (Unpublished doctoral dissertation). Yonsei University, Seoul. 

  11. Danescu-Niculescu-Mizil, C., & Lee, L. (2011). Chameleons in?imagined conversations: A new approach to understanding?coordination of linguistic style in dialogs. Proceedings of the?2nd Workshop on Cognitive Modeling and Computational?Linguistics, USA, 76-87. doi:10.48550/arXiv.1106.3077 

  12. DeLong, M. R. (1987). The way we look: A framework for visual analysis of dress. Ames, IA: Iowa State University Press. 

  13. Fashionary. (2021). Fashionpedia: The visual dictionary of fashion design. Hong Kong: Fashionary International Limited. 

  14. Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data?concepts, methods, and analytics. International Journal of?Information Management, 35(2), 137-144. doi:10.1016/j.ijinfomgt.2014.10.007 

  15. Garshol, L. M. (2004). Metadata? Thesauri? Taxonomies? Topic maps! Making sense of it all. Journal of Information?Science, 30(4), 378-391. doi:10.1177/0165551504045856 

  16. Gruber, T. R. (1995). Toward principles for the design of ontologies used for knowledge sharing? International Journal of?Human-Computer Studies, 43(5-6), 907-928. doi:10.1006/ijhc.1995.1081 

  17. Guan, C., Qin, S., Ling, W., & Long, Y. (2018). Enhancing apparel data based on fashion theory for developing a novel?apparel style recommendation system. In A. Rocha, H. Adeli,?L. P. Reis, & S. Costanzo (Eds.), Trends and advances in information systems and technologies: Vol. 3 (pp. 31-40). Cham:?Springer. doi:10.1007/978-3-319-77700-9_4 

  18. Guan, C., Qin, S., & Long, Y. (2019). Apparel-based deep learning system design for apparel style recommendation. International Journal of Clothing Science and Technology, 31(3), 376-389. doi:10.1108/IJCST-02-2018-0019 

  19. Han, K. H. (2019). A study on the consumer's perception of HiSeoul fashion show using big data analysis. Journal of Fashion Business, 23(5), 81-95. doi:10.12940/jfb.2019.23.5.81 

  20. Han, S.-Y., Cho, Y., & Lee, Y. (2016). The effect of the fashion?product classification method in online shopping sites. Journal of the Korean Society of Clothing and Textiles, 40(2),?287-304. doi:10.5850/JKSCT.2016.40.2.287 

  21. Heo, S. H., & Nah, K. (2019). Brand relationship of material?and color identity according to color scheme. Journal of the?Korean Society of Design Culture, 25(3), 523-534. doi:10.18208/ksdc.2019.25.3.523 

  22. Hong, Y. J., Kim, R. R., Lim, S. E., & Kim, Y. I., (2014). The type and characteristics of the modern men's fashion images.?Journal of the Korean Society of Costume, 64(5), 18-29. doi:10.7233/jksc.2014.64.5.018 

  23. Horn, M. J., & Gurel, L. M. (1981). The second skin: An interdisciplinary study of clothing (3rd ed.). Boston, MA: Houghton Mifflin Company 

  24. Jang, N., & Kim, M.-J. (2020). Material as a key element of fashion trend in 2010~2019 - Text mining analysis -. Fashion?& Textile Research Journal, 22(5), 551-560. doi:10.5805/SFTI.2020.22.5.551 

  25. Jang, S., Kim, H. Y., Lee, Y., Soel, J., Kim, S., & Lee, S.-g.?(2022). Deep learning for classification of high-end fashion?brand sensibility. Journal of the Korean Society of Clothing?and Textiles, 46(1), 165-181. doi:10.5850/JKSCT.2022.46.1.165 

  26. Kiapour, M. H., Yamaguchi, K., Berg, A. C., & Berg, T. L. (2014).?Hipster wars: Discovering elements of fashion styles. In D.?Fleet, T. Pajdla, B. Schiele, & T. Tuytelaars (Eds.), Computer vision -- ECCV 2014 13th European Conference, Zurich,?Switzerland, September 6-12, 2014, Proceedings, Part I (pp.?472-488). Cham: Springer. doi:10.1007/978-3-319-10590-1_31 

  27. Kim, C. E., & Lee, J. H. (2018). Trends of big data and artificial?intelligence in the fashion industry. Journal of the Korean?Society of Clothing and Textiles, 42(1), 148-158. doi:10.5850/JKSCT.2018.42.1.148 

  28. Kim, H., & Lee, H. K. (2022). Changes in the perception of second-hand fashion consumption in the post-pandemic era.?Fashion & Textile Research Journal, 24(1), 66-80. doi:10.5805/SFTI.2022.24.1.66 

  29. Kim, J. Y., Oh, K. W., & Jung, H. J. (2015). Creating the idea of?textile print pattern design using the visual expression of popular music. Fashion & Textile Research Journal, 17(4),?524-540. doi:10.5805/SFTI.2015.17.4.524 

  30. Kim, S.-Y., & Yoon, S.-W. (2013). Fashion design development?and type analysis of redesign using clothing details. Journal?of the Korea Fashion & Costume Design Association, 15(1),191-206. 

  31. Kim, Y.-K. (2008). Development of indicators for evaluating?the web credibility by goodness-of-fit analysis. Journal of?the Korean Society for Information Management, 25(4), 185-204. doi:10.3743/KOSIM.2008.25.4.185 

  32. Korean Apparel Industry Association. (2009, October). 봉제용어 순화집 [Refined terminology of sewing] [PDF document].?The Korean Society of Clothing and Textiles. Retrieved from?https://www.ksct.or.kr/up_file/dboard_dataroom%5B19%5D%5B0%5D 

  33. Kotler, P., & Armstrong, G. (2015). Principles of marketing (16th?ed.). Boston, MA: Pearson. 

  34. Kwon, S., & Park, M. (2021). A study on the design characteristics of athleisure look in image-based SNS. Journal of the?Korean Society of Clothing and Textiles, 45(1), 17-27. doi:10.5850/JKSCT.2021.45.1.17 

  35. Lamb, J. M., & Kallal, M. J. (1992). A conceptual framework?for apparel design. Clothing and Textiles Research Journal,?10(2), 42-47. doi:10.1177/0887302X9201000207 

  36. Lee, H. G. (2015). The types of style (Unpublished doctoral dissertation). Seoul National University, Seoul. 

  37. Lee, J.-J., & Park, E. K. (2006). Lifestyle & trend (Rev. ed.). Seoul: Yekyong Publishing Co. 

  38. Lee, K.-H. (2009). Planning of systematic color coordinate system and manufacture of color paper for establishment of?basic color education. Journal of the Korean Society for?Clothing Industry, 11(5), 709-719. 

  39. Lee, K. M. (2018). Artificial intelligence. Paju: Life & Power?Press Co., Ltd. 

  40. Littrell, M. A., & Miller, N. J. (2001) Marketing across cultures: Consumers' perceptions of product complexity, familiarity, and compatibility. Journal of Global Marketing, 15(1), 67-86. doi:10.1300/J042v15n01_05 

  41. Liu, Z., Luo, P., Qiu, S., Wang, X., & Tang, X. (2016). DeepFashion: Powering robust clothes recognition and retrieval?with rich annotations. Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR),?USA, 1096-1104. doi:10.1109/CVPR.2016.124 

  42. Mallavarapu, T., Cranfill, L., Kim, E. H., Parizi, R. M., Morris,?J., & Son, J. (2021). A federated approach for fine-grained?classification of fashion apparel. Machine Learning with?Applications, 6:100118. doi:10.1016/j.mlwa.2021.100118 

  43. Ministry of Science and ICT. (2022, July 12). AI 학습용 데이터 190종 추가 개방…총 381종으로 늘어 [Additional 190?types of data for AI learning will be opened...a total of 381?types]. 대한민국 정책브리핑 [Korea Policy Briefing]. Retrieved from https://www.korea.kr/news/policyNewsView.do?newsId148903465 

  44. Mizoguchi, R. (2012). Ontology engineering (K.-S. Choi, &?D.-S. Hwang, Trans.). Seoul: Dooyangsa. (Original work?published 2005) 

  45. Noy, N. F., & McGuinness, D. L. (2001, March). Ontology development 101: A guide to creating your first ontology [PDF?document]. Stanford Knowledge Systems Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics?Technical Report SMI-2001-0880. Retrieved from https://protege.stanford.edu/publications/ontology_development/ontology101.pdf 

  46. Park, J. H. (2012). 한국어 동사 의미망 구축 방법론 [Methodology for constructing the meaning network of Korean verbs]. Seoul: Chung Woon. 

  47. Park, N., & Choi, Y. (2020a). A form attribute classification system for fashion items. International Journal of Fashion Design, Technology and Education, 13(1), 11-19. doi:10.1080/17543266.2019.1664641 

  48. Park, N., & Choi, Y. (2020b). Color & texture attribute classification system of fashion item image for standardizing learning data in fashion AI. Journal of the Korean Society of Clothing and Textiles, 44(2), 354-368. doi:10.5850/JKSCT.2020.44.2.354 

  49. Park, N., & Choi, Y. (2021). Classification system of fashion?emotion for the standardization of data. Journal of the Korean Society of Clothing and Textiles, 45(6), 949-964. doi:10.5850/JKSCT.2021.45.6.949 

  50. Ryu, H.-J. (2010). Pattern fashion. Seoul: Idambooks. 

  51. Sadeh, G., Fritz, L., Shalev, G., & Oks, E. (2019, June 15). Joint?visual-textual embedding for multimodal style search. Cornell University. Retrieved from https://arxiv.org/abs/1906.06620 

  52. Seo, Y., & Kim, Y. (2019). Characteristics and network analysis?of seasonal fashion trend color. Journal of Korea Society of?Color Studies, 33(2), 17-28. doi:10.17289/jkscs.33.2.201905.17 

  53. Seo, Y., & Shin, K.-s. (2019). Hierarchical convolutional neural networks for fashion image classification. Expert Systems?with Applications, 116, 328-339. doi:10.1016/j.eswa.2018.09.022 

  54. Shin, S.-Y., & Kim, Y.-I. (2013). The classification of fashion?frame and fashion image of Korean women in their twenties?and thirties. Journal of the Korean Society of Costume, 63(4), 118-131. doi:10.7233/jksc.2013.63.4.118 

  55. Song, E.-y., & Lim, H.-s. (2021). Perceptions and trends of digital fashion technology - A big data analysis -. Fashion &?Textile Research Journal, 23(3), 380-389. doi:10.5805/SFTI.2021.23.3.380 

  56. Sung, K.-S. (2020). Social media big data analysis of Z-generation fashion. Journal of the Korea Fashion & Costume Design Association, 22(3), 49-61. doi:10.30751/kfcda.2020.22.3.49 

  57. Takagi, M., Simo-Serra, E., Iizuka, S., & Ishikawa, H. (2017).?What makes a style: Experimental analysis of fashion prediction. Proceedings of 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), Italy, 2247-2253. doi:10.1109/ICCVW.2017.263 

  58. TEXTOM. (n.d.) About TEXTOM. TEXTOM. Retrieved from?https://www.textom.co.kr/home/sub/overview.php?pnm1 

  59. Tortora, P. G., & Keiser, S. J. (2014). The fairchild books dictionary of fashion. (4th ed.). New York, NY: Bloomsburg?Publishing Inc. 

  60. Uschold, M., King, M., Moralee, S., & Zorgios, Y. (1998). The?enterprise ontology. The Knowledge Engineering Review,?13(1), 31-89. doi:10.1017/S0269888998001088 

  61. Vogiatzis, D., Pierrakos, D., Paliouras, G., Jenkyn-Jones, S., &?Possen, B. J. H. H. A. (2012). Expert and community based?style advice. Expert Systems with Application, 39(12), 10647-10655. doi:10.1016/j.eswa.2012.02.178 

  62. Wu, H., Gao, Y., Guo, X., Al-Halah, Z., Rennie, S., Grauman, K.,?& Feris, R. (2021). Fashion IQ: A new dataset towards retrieving images by natural language feedback. Proceedings?of 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), USA, 11302-11312. doi:10.1109/?CVPR46437.2021.01115 

  63. Xiao, H., Rasul, K., & Vollgraf, R. (2017, August 25). FashionMNIST: a novel image dataset for benchmarking machine?learning algorithms. Cornell University. Retrieved from https://arxiv.org/abs/1708.07747 

  64. Young, D. E. (2018). Swatch reference guide for fashion fabrics (4th ed.). New York, NY: Bloomsburg Publishing Inc. 

  65. Zheng, S., Yang, F., Kiapour, M. H., & Piramuthu, R. (2018).?ModaNet: A large-scale street fashion dataset with polygon?annotations. Proceedings of the 26th ACM international conference on Multimedia, Korea, 1670-1678. doi:10.1145/32?40508.3240652 

  66. Zou, X., Kong, X., Wong, W., Wang, C., Liu, Y., & Cao, Y.?(2019). FashionAI: A hierarchical dataset for fashion understanding. Proceedings of the 2019 IEEE/CVF Conference on?Computer Vision and Pattern Recognition Workshops (CV?PRW), USA, 296-304. doi:10.1109/CVPRW.2019.00039 

저자의 다른 논문 :

관련 콘텐츠

오픈액세스(OA) 유형

FREE

Free Access. 출판사/학술단체 등이 허락한 무료 공개 사이트를 통해 자유로운 이용이 가능한 논문

이 논문과 함께 이용한 콘텐츠

저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로