Go Eun Heo


Research Interests


Text Mining, Bioinformatics, Medical Informatics, Health Informatics, Bibliometrics, Network Analysis, Information Visualization, Social Media Mining

Education


Ph. D. Student

Department of Library and Information Science, Yonsei University
March 2014 – Present

M.A.

Department of Library and Information Science, Yonsei University
March 2011 – February 2014
Thesis Title: Inferring Undiscovered Public Knowledge by Using Text Mining-driven Graph Model

B.E.

Department of Medical Computer Science, Eulji University
March 2007 – February 2011

Publication


Journal Papers

Verspoor, K., Heo, G. E. Kang, K. Y., & Song, M. (2016). Establishing a baseline for literature mining human genetic variants and their relationships to disease cohorts. BMC Medical Informatics and Decision Making, 16(1), 37-47. (SCIE)

Jeong Y. K., Heo, G. E. Kang, K. Y., Yoon, D. S., & Song, M. (2016). Trajectory analysis of drug-research trends in pancreatic cancer on PubMed and ClinicalTrials. gov. Journal of Informetrics, 10(1), 273-285. (SSCI)

Song, M., Heo, G. E. & Ding, Y. (2015). SemPathFinder: Semantic Path Analysis for Discovering Publicly Unknown Knowledge. Journal of Informetrics, 9(4), 686-703. (SSCI)

Song, M., Kim, W. C., Lee, D. H., Heo, G. E. & Kang, K.Y. (2015). PKDE4J: Entity and Relation Extraction for Public Knowledge Discovery. Journal of Biomedical Informatics, 57. 320-332. (SCI)

Song, M., Heo, G. E., & Lee, D. H. (2014). Identifying the Landscape of Alzheimer’s Disease Research with Network and Content Analysis. Scientometrics, 102(1), 905-927. (SSCI)

Song, M., Heo, G. E., & Kim, S. Y. (2014). Analyzing topic evolution in bioinformatics: investigation of dynamics of the field with conference data in DBLP. Scientometrics, 101(1), 397-428. (SSCI)

Domestic Journal Papers

Lee, K., Heo, G. E., & Song, M. (2015). Biomedical text mining : A trend in Biomedical Knowledge Discovery Based on Text Mining. Communications of the Korean Institute of Information Scientists and Engineers, 33(4), 30-38.
(이기헌, 허고은, 송민. (2015). 생의학 텍스트 마이닝 : 새로운 생의학 지식 발견 방법 연구 동향.
정보과학회지 , 33(4), 30-38.)

Heo, G. E., & Kim, K. (2015). A Study on the Agenda-Setting Process for Alternatives in Application of Fixed Book Price Policy to Libraries - Based on the Policy Network Model -. Journal of the Korean Society for Library and Information Science, 49(4), 289-315.
( 허고은, 김기영. (2015). 도서정가제의 도서관 적용에 대한 대안 정책 의제화 과정 연구 - 정책네트워크 모형을 적용하여 -.
한국문헌정보학회지 , 49(4), 289-315.)

Ahn, H., Song, M., & Heo, G. E. (2015). Inferring Undiscovered Public Knowledge by Using Text Mining Analysis and Main Path Analysis: The Case of the Gene-Protein ‘brings_about’ Chains of Pancreatic Cancer. Journal of the Korean Biblia Society for Library and Information Science, 26(1), 217-231.
(안혜림, 송민, & 허고은. (2015). 텍스트마이닝과 주경로 분석을 이용한 미발견 공공 지식 추론.
한국비블리아학회지 , 26(1), 217-231.)

Heo, G. E., & Song, M. (2014). Inferring Undiscovered Public Knowledge by Using Text Mining-driven Graph Model. Journal of the Korean Society for Information Management, 31(1), 231-250.
( 허고은, & 송민. (2014). 텍스트 마이닝 기반의 그래프 모델을 이용한 미발견 공공 지식 추론.
정보관리학회지 , 31(1), 231-250.)

Heo, G. E., & Song, M. (2013). Examining the Intellectual Structure of a Medical Informatics Journal with Author Co-citation Analysis and Co-word Analysis. Journal of the Korean Society for Information Management, 30(2), 207-225.
( 허고은 & 송민. (2013). 저자동시인용 분석과 동시출현단어 분석을 이용한 의료정보학 저널의 지적구조 분석.
정보관리학회지 , 30(2), 207-225.)

Jin, S.A., Heo, G. E., Jeong, Y. K., & Song, M. (2013). Topic-Network based topic shift detection on Twitter. Journal of the Korean Society for Information Management, 30(1), 285-302.
(진설아, 허고은, 정유경, & 송민. (2013). 트위터 데이터를 이용한 네트워크 기반 토픽 변화 추적 연구.
정보관리학회지 , 30(1), 285-302.)

Conference Papers

Heo, G. E., Kang, K. Y., & Song, M. (2016, October). Examining the Field of Bioinformatics by the Multi-faceted Informetric Approach. In Proceedings of the ACM 10th International Workshop on Data and Text Mining in Biomedical Informatics. ACM

Verspoor, K., Heo, G. E., Kang, K. Y., & Song, M. (2015, October). Extraction of fine-grained semantic relations for the Human Variome. In Proceedings of the ACM 9th International Workshop on Data and Text Mining in Biomedical Informatics. (pp. 3). ACM

Song, S. J., Heo, G. E., Kim, H. J., Jung, H. J., Kim, Y. H., & Song, M. (2014, November). Grounded Feature Selection for Biomedical Relation Extraction by the Combinative Approach. In Proceedings of the ACM 8th International Workshop on Data and Text Mining in Biomedical Informatics. (pp. 29-32). ACM

Posters

Heo, G. E., Kang, K. Y., & Song, M. (2015, October). A Flexible Text Mining System for Entity and Relation Extraction in PubMed. In Proceedings of the ACM 9th International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO@CIKM 2015) (pp.26). ACM

Jeong, Y. K., Heo, G. E., Kang, K. Y., Yoon, D. S., & Song, M. (2015, October). Analyzing the Landscape of Anti-Cancer Drug Research in Pancreatic Cancer. In Proceedings of the ACM 9th International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO@CIKM 2015) (pp.24). ACM

Heo, G. E., Lee, K., & Song, M. (2014, November). Inferring Undiscovered Public Knowledge by Using Text Mining-driven Graph Model. In Proceedings of the ACM 8th International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO@CIKM 2014) (pp.37). ACM