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신문기사정보 패싯 택소노미 구축 방안 - 예술 분야를중심으로 -

Plan of Constructing Facet Taxanomies of Information on News Articles - Focused on the area of Arts -

  • 장인호 (대진대학교 공공인재대학 문헌정보학과)
  • 투고 : 2019.11.20
  • 심사 : 2019.12.18
  • 발행 : 2019.12.30

초록

신문기사를 주제 분야별로 나누고, 분야 내에서 각각의 범주들은 기본 패싯과 결합하는 패싯 택소노미 모형을 개발하였으며 구축 방안을 제시하고 패싯 택소노미를 구축하는 연구를 수행하였다. 패싯 택소노미는 신문기사를 주제 분야(정치, 경제 분야 등)로 나누고 범주(정치 분야의 경우, 정치일반, 행정, 사법 등) 및 하위 범주를 기본 패싯과 각각 결합한다. 하위 범주는 더욱 하위 구분할 수 있다. 택소노미는 범주 간의 계층 관계를 가질 수 있으며, 범주-패싯은 예를 들어, "예술"에 대해 '사람', '행위', '행사', '시간', '장소' 등과 결합한다. 그리고 예술의 하위 범주인 '미술', '음악', '무용' 등은 '예술'과 계층 관계를 이루어 추론과 브라우징에 활용할 수 있도록 구성하였다. 또한, 범주-패싯 결합은 기본 패싯순으로 계층 구조를 갖는다. 한편, 시험용 어휘 구축은 '예술 분야'를 대상으로 용어 145어를 본 연구에서 다루는 모든 구성요소를 포함하는 패싯 택소노미를 구축하고, 디스플레이를 예시하였다.

Information on newspaper articles were categorized into different topics, and each categories within different topics were developed into a faceted taxonomies model which was combined with fundamental facets. After suggesting the plan to construct such a model, the research of actual faceted taxonomies were conducted. Faceted taxonomies divide information on news articles into different topics(such as politics, economies and others) and combine fundamental facets with categories(for example, politics can be sub-classified into general politics, administration, legal system, and others) and sub-categories. Each sub-categories can be further subdivided. In taxanomies, categories can have hierarchical relationships. Categories-Facets, for example, can be utilized to combine "arts" with "people", "action", "event", "time", "place" and others. And Sub-category of the classification of "arts" such as "art," "music," "dance" form hierarchical relationships with "arts" and, in turn, can be used for browsing and further inferences. Furthermore, combining category and facets results in hierarchical structure in order of fundamental facets. As for the pilot vocabulary construction, faceted taxonomies of 145 words from news paper articles on the topic of "arts" were constructed using all construction elements covered in this study.

키워드

참고문헌

  1. Shim, Jiyoung. 2014. "A Faceted Classification Analysis of TV content: Using News and Current Affairs Programs." Korean Society for Information Management, 31(3): 313-329. https://doi.org/10.3743/KOSIM.2014.31.3.313
  2. Lee, Eun-Uk and Park, Heejin. 2018. "A Study on a Facet-Based Ontology Design for Archival Records Finding Dispersed Families." Journal of Korean Society of Archives and Records Management. 18(4): 231-257. https://doi.org/10.14404/JKSARM.2018.18.4.231
  3. Lee, Junmin. 2016. Intellectual Structure Analysis in Korean Dance Studies: focused on Text Mining based Big Data Analytics. Graduate Thesis, Sungkyunkwan University.
  4. Lee, Jongyoung et. al. 2015. "Explorable System of Disaster Broadcasting Using Taxonomy Classification for Disaster Types and Analytical Methods of Topic Cluster Labeling." Korean Institute of Information Scientists and Engineers Korea Computer Congress, 2015(6) 1609-1611.
  5. 임영호, 2013. 신문원론 제3판, 서울: 한나래 아카데미.
  6. Chang, Inho. 2013. "A Study on the Establishment and Applications of the "News Core Thesaurus"." Journal of the Korean Library and Information Science Society, 44(3): 489-512. https://doi.org/10.16981/kliss.44.3.201309.489
  7. Chang, Inho. 2018. "A Study on the Establishment of Fundamental Facets Using Vocabulary Analysis with General Thesaurus." The Journal of Humanities and Social Sciences, 21, 9(6-2): 1059-1070. https://doi.org/10.22143/HSS21.9.6.76
  8. Chang, Inho. 2019. "A Study on the Expansion of Fundamental Categories Based on Thesaurus Internation Standards." Journal of the Korean Library and Information Science Society, 50(1): 273-291.
  9. Chung, Yeon-Kyoung. 2013. "A Study on Structure of a Faceted Classification for Organizing Korean Food Information." Journal of the Korean Library and Information Science Society, 47(1): 15-37. https://doi.org/10.4275/KSLIS.2013.47.1.015
  10. Choi, Jisoo. 2014. Design and implementation of video annotation system for effective search by subject of medical documentary using taxonomies : focused on kbs . Graduate thesis, Sogang University.
  11. Korea NewsML Forum. 2008. News Code Guidebook. Seoul: Korea Press Foundation.
  12. Korea Press Foundation. 2008. News Articles Thesaurus. Seoul: Korea Press Foundation.
  13. Hong, Ki-Churl 2017. "A Study on Building Method of the Construction Industry Thesaurus Using Facet Analysis Method." Journal of the Korean Library and Information Science Society, 48(1): 345-371. https://doi.org/10.16981/kliss.48.201703.345
  14. Hiroki, Morio, Hatori, Shinji. News Thesaurus. Tokyo: Nichigai Associates (publisher), 2004.
  15. Hiroki Morio. News Thesaurus. Chunichishinbunsha, 2nd ed., 1981.
  16. Mizoguchi, R. 2012. Science of Intelligence : Theory and Practice of Ontology Engineering. Tokyo: Ohmsha.
  17. 日本経済新聞社. 日経シソーラス. http://t21.nikkei.co.jp/public/help/contract/price/20/thesaurus/index_AA.html [cited 2019. 10. 10].
  18. 朝日新聞社ニューメディア本部. 1989. 朝日記事データベース分類の手引き. 東京 : 朝日新聞社ニューメディア本部.
  19. Aitchison, J., Gilchrst, A., & Bawden, D. 2000. Thesaurus construction and use: a practical manual. 4th ed. London: Aslib imi.
  20. Arp, R., Smith, B. & Spear, A. D. 2015. Building Ontologies with Basic Formal Ontology. Cambridge, Massachusetts: The MIT Press.
  21. Big Kinds, https://www.bigkinds.or.kr/
  22. Broughton, V. 2006. Essential thesaurus construction. 1st ed. London: Facet Publishing.
  23. Cheung, C.F., Lee, W.B. & Wang, Y. 2005. "A multi-facet taxonomy system with applications in unstructured knowledge management." JOURNAL OF KNOWLEDGE MANAGEMENT, 9(6): 76-91. https://doi.org/10.1108/13673270510629972
  24. Hedden, H. 2016. The Accidental Taxonomist. New Jersey: Information Today, Inc..
  25. IPTC Home page. [cited 2019. 10. 10].
  26. ISO 25964-1. 2011. Information and documentation - Thesauri and Interoperability with other vocabularies Part 1: Thesauri for information retrieval. Switzerland: ISO.
  27. ISO 25964-2. 2013. Information and documentation - Thesauri and Interoperability with other vocabularies Part 2: Interoperability with other vocabularies. Switzerland: ISO.
  28. Lebeuf, C. et. al., 2019. Defining and Classifying Software Bots: A Faceted Taxonomy. 2019 IEEE/ACM 1st International Workshop on Bots in Software Engineering (BotSE).
  29. Masolo, C. et. al. 2003. WonderWeb Deliverable D18 Ontology Library(final), IST Project 2001-33052 WonderWeb: Ontology Infrastructure for the Semantic Web. http://www.loa.stc.cnr.it/Papers/D18.pdf. [cited 2019. 10. 1].
  30. Ryan, C. 2014. Thesaurus construction guidelines: An introduction to thesauri and guidelines on their construction. Dublin: Royal Irish Academy and National Library of Ireland.
  31. Stewart D. L. 2008. Building Enterprise Taxonomies. Mokita Press.
  32. The Washington Post. 1986. The Washington Post Thesaurus. Washington : The Washington company.
  33. Zong, Nansu,. Kim, Hong-Gee & Nam, Sejin. 2017. "Constructing faceted taxonomy for heterogeneous entities based on object properties in linked data." Data & Knowledge Engineering, 112: 79-93. https://doi.org/10.1016/j.datak.2017.09.006