Development of Linguistic Knowledge Graph with Collecting Language materials in the Web - A case study of the subject field of Affective Disorder -

Eun-Kyoung Jo; KANG,SEUNG-SHIK

doi:10.19033/sks.2020.3.67.203

This paper aims to show how to develop a knowledge graph as linguistic knowledge-base for linguistic artificial intelligence applications. Firstly, we investigate the previous researches and developments of knowledge graphs which have been developed so far and are the extensions of lexicon and ontology which are well-known forms of linguistic knowledge bases. Secondly, we describe how to develop a knowledge graph in the domain of affective disorder as a case study based on expert knowledge data and general text data. In the process of doing this, we would like to show how to collect language resources from the Web which have popular influences on people and try to make formalisation of representation way of linguistic knowledge in the domain of psychology. Finally, we show the application of using a knowledge graph as a semantic knowledge-base. Overall, we would say that a linguistic knowledge graph still would be one of the knowledge powers which will be linguistically explainable by humans in the world of digital data analysis floods.

Citation status

KCI Citation Counts (0)
REFERENCES (36)
열림/닫힘 버튼
* 2021년 이후 발행 논문의 참고문헌은 현재 구축 중입니다.

[journal] 김일환 / 2019 / Quantification of Linguistic Information and its Visualization through an Analysis of Large-Scale Data Collected from Newspaper / 언어와 정보 사회 / 언어정보연구소 38 : 335~354 / 10.29211/soli.2019.38..012

[journal] 김학래 / 2010 / 시맨틱 웹과 의미적 연결성 : 웹 사이언스를 위한 출발점 / 정보과학회지 / 한국정보과학회 28(3) : 31~40

[book] 김학래 / 2017 / 지식그래프 / 커뮤니케이션북스

[journal] 남길임 / 2018 / Research Trends and Issues Related to Web Corpus for Linguistic Research / 한국어 의미학 / 한국어의미학회 60 : 23~49

[journal] 송도규 / 2006 / Formalization and Conversion into Ontologies of Korean Negational Expressions / 한국어 의미학 / 한국어의미학회 19 : 85~104

[journal] 심용선 / 2019 / A Global-Interdependence Pairwise Approach to Entity Linking Using RDF Knowledge Graph / 정보처리학회논문지. 소프트웨어 및 데이터 공학 / 한국정보처리학회 8(3) : 129~136 / https://doi.org/10.3745/KTSDE.2019.8.3.129

[journal] 옥철영 / 2007 / On the Evaluation of Korean WordNet / LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 4629 : 123~130

[journal] 윤애선 / 2018 / KoFiGEmOnto,a Korean Fine-Grained Emotion Ontology - Its Construction and Application - / 한국사전학 / 한국사전학회 (32) : 61~94 / 10.33641/kolex.2018..32.61

[thesis] 이수경 / 2005 / 효율적인 암정보 제공을 위한 온톨로지 기반 대화시스템 개발 : 일반인 대상 위암정보제공을 중심으로 / 석사 / 연세대학교 보건대학원

[journal] 이숙의 / 2019 / Improvement of Automatic Recognition of Context Meaning through Classification of Named Entities using Ontology Knowledge / 한국언어문학 / 한국언어문학회 (109) : 37~59 / http://dx.doi.org/10.21793/koreall.2019.109.37

[journal] 임지희 / 2008 / Automatic Construction of Syntactic Relation in Lexical Network(U-WIN) / 정보과학회논문지 : 소프트웨어 및 응용 / 한국정보과학회 35(10) : 627~635

[journal] 조은경 / 2000 / 전문용어와 전문어 말뭉치 / 전문용어연구 / 전문용어언어공학연구센터 2 : 201~229

[journal] 조은경 / 2016 / A NLG Approach to Sejong Dictionary for Computational Feasibility / 한글 / 한글학회 (311) : 197~226

[journal] 조은경 / 2019 / Seeing Semantic Changes in Korean Gender through Word Embedding -With Recent News Articles and Articles from the past 10 years / 언어와 문화 / 한국언어문화교육학회 15(3) : 221~241 / http://dx.doi.org/10.18842/klaces.2019.15.3.9

[journal] 조은경 / 2019 / Quantification and Visualization of Linguistic Information: Representing Distributional Semantics of Sentiment Lexicon / 언어와 정보 사회 / 언어정보연구소 38 : 413~436 / 10.29211/soli.2019.38..015

[journal] 최호섭 / 2006 / 온톨로지 구축 방법과 사례 / 정보과학회지 / 한국정보과학회 24(4) : 31~44

[journal] 한영균 / 2014 / On Compiling The Reference Corpus of Modern Korean Using WWW and Internet Documents / 어문학 / 한국어문학회 (124) : 129~166

[web] / https://en.wikipedia.org/wiki/Knowledge_Graph / https://en.wikipedia.org/wiki/Knowledge_Graph

[web] / 2019 / Knowledge Graph Generation for Financial Databases / https://blog.bitext.com/knowledge-graph-generation-for-finance-databases

[book] Berners-Lee, T. / 2001 / The Semantic Web / Scientific American

[confproc] Bonatti, P. A. / 2019 / Knowledge graphs: new directions for knowledge representation on the semantic web / Dagstuhl seminar / Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik 18371

[thesis] Bowman, Samuel R. / 2016 / Modeling natural language semantics in learned representations / Ph.D. / Stanford University

[journal] Chemla, E. / 2011 / Experimental evidence for embedded scalar implicatures / Journal of semantics 28(3) : 359~400

[web] Ehrlinger, Lisa / 2016 / Towards a Definition of Knowledge Graphs / https://towardsdatascience.com/auto-generated-knowledge-graphs-92ca99a81121

[confproc] Gesese, G.A. / 2019 / A comprehensive survey of knowledge graph embeddings with literals: Techniques and applications / Workshop on Deep Learning for Knowledge Graphs

[book] Hirst, Graeme / 2010 / Handbook on ontologies / Springer Science & Business Media

[book] James, P. McCusker / 1992 / Linguistic Instruments in Knowledge Engineering / Elsevier Science Publishers B.V. : 97~117

[book] Minsky, Marvin / 1985 / The society of Mind / Simon & Schuster Paperbacks

[confproc] Nathani, D. / 2019 / Learning attention-based embeddings for relation prediction in knowledge graphs / ACL Proceedings

[book] Ray Jackendoff / 2015 / User’s Guide to Thought and Meaning / Oxford University Press

[web] Singhal, Amit / 2012 / Introducing the Knowledge Graph: things, not strings / Official Google Blog / https://googleblog.blogspot.com/2012/05/introducing-knowledge-graph-things-not.html

[book] Staab, S. / 2010 / Handbook on ontologies / Springer Science & Business Media

[journal] Stevens, R. / 2019 / Measuring expert performance at manually classifying domain entities under upper ontology classes / Journal of Web Semantics 57 : 100469~

[confproc] Suchanek, Fabian M. / 2007 / Yago: a core of semantic knowledge / Proceedings of the 16th international conference on World Wide Web : 697~706

[journal] Trouillon, T. / 2017 / Knowledge graph completion via complex tensor factorization / The Journal of Machine Learning Research 18(1) : 4735~4772

[book] Udo Hahn / 2010 / Handbook on ontologies / Springer Science & Business Media

이 논문은 한국연구재단의 지원을 받아 작성되었습니다.

KJC Korea
Journal Central

Statistics

Tools

Sharing

Issue List

Citation status