|
Journal Papers
2017 8. Heo, G.E., Kang, K.Y., and Song, M. (2017) Analyzing the field of bioinformatics with the multi-faceted topic modeling technique, BMC Bioinformatics (SCIE) 9. Baek, S.H., Lee, D.H., Kim, M.J., Lee, J.H., Song, M (2017). Enriching Plausible New Hypothesis Generation in PubMed, PLoS One (SCIE) 10. An, J.Y., Jun, S.E., Jones, T. & Song, M. (submitted) Data-driven Pattern Analysis of Acknowledgements in Biomedical Domain, Journal of Data and Information Management (Inaugural issue) 11. Kim, M.U.. Baek, I.J., & Song, M. (2017) Topic Diffusion Analysis of a Weighted Citation Network in Biomedical Literature, JASIST (SSCI) 12. Amplayo, R.K., Hong, S.L. and Song, M. (2017) Network-based approach to detect novelty of scholarly literature, Information Sciences (SCI)
Accepted
Domestic
Papers Under
Review --
Journal: 2. Song, S.J., Baek, S.H., and Song, M. (2017) Inferring Drug-Protein–Side Effect Relationship from Biomedical Text, Computer Methods and Programs in Biomedicine (SCI) 3. Kim, H.J. and Song, M. (2017) Predicting Research Fronts Using a Factor Graph Model, Scientometrics (SSCI) 4. Yan, E., Wu, C., and Song, M. (2017) The funding factor: A disciplinary examination of the association between research funding and citation impact, Research Evaluation (SCI) 5. Ahn, K.B., Lee, H.S. Yan, E., & Song, M. (2017) Investigating the characteristics of author collaboration networks by author-entity bipartite graphs, Journal of Informetrics (SSCI) 6. Amplayo, R. K., Lee, S.I., and Song, M. (2017) Incorporating Product Description to Sentiment Topic Models for Improved Aspect Term Extraction, Information Sciences (SCI) 7. Daud, A., Song, M., Hayat, M. K., Amjad, T., & Abbasi, R. A. (submitted) Finding Rising Stars: a Survey, JASIST (SCI) 8. Lv, Y., Ding, Y., Wild, D., Song, M., Ren, R., & Zhai, Y. (submitted). Data-Driven Drug Discovery in Autism Research: Mapping and predicting autism research from the perspective of drugs. JASIST (SCI) 9. Chen, C., Song, M., & Heo, G.E. (submitted) A Scalable and Adaptive Method for Selecting Semantically Equivalent Cues of Uncertainty, Journal of Informetrics (SSCI) 10. Lee, N.K., Han, Y.K., Xiong, W., and Song, M. (submitted) Data-driven Trajectory Analysis of the Research Trend in Automobile Fuel, Scientometrics (SSCI) Under Review -- Conference: Book 1. Song, M. Text Mining (텍스트 마이닝), 청람출판사, 2017. (in Korean) 2. Chen, C. and Song, M. Representing Scientific Knowledge, Springer, 2017 Book
Chapters 1. Song, M., & Ding, Y. (2015). Topic modeling: Measuring scholarly impact through the topical lens. In Ding, Y., Rousseau, R., & Wolfram, D. (Eds.) Measuring scholarly impact: Methods and practice. Springer. (book chapter) 2. Song, M., & Chambers, T. (2015). Text Mining with the Stanford CoreNLP. In Ding, Y., Rousseau, R., & Wolfram, D. (Eds.) Measuring scholarly impact: Methods and practice. Springer. (book chapter) Published Papers
International
Journals (59
SCI-level
journal papers
have been
published since
2010)
1. Xu, J., Ding, Y., Song,
M., and
Chambers, T.
(2016) Author
credit-assignment
schemas: A
comparison and
analysis, JASIST
(SSCI) IM:2.23 3. Charidimou, A., Song, M., Kim, S.Y. (2016) Exploring cerebral small vessel disease research using informetrics: a first glimpse into microbleeds, International Journal of Stroke (SCI) IM:4.029 4. Charidimou, A., Song, M.
(2016) Evolving
trends in
cerebral
amyloid
angiopathy
research
themes:
Insights from
Medical
Subject
Heading
analysis,
Journal of the
Neurological
Sciences
(SCI) IM:
2.474 8. Jeong,
Y.K., Heo, G.E.,
Kang, K.Y., Yoon,
D.S., Song, M.
(2016) Trajectory
Analysis of the
Recent Drug
Research Trend in
Pancreatic Cancer,
Journal of
Informetrics
(SSCI) 2015 2. Song, M., Han, W.S., and Yu, W.J. (2015) Exploring Dictionary-based Bio-Entity Recognition Techniques, BMC Medical Informatics and Decision Making (SCIE) IM:1.5 3. Lee, H.Y., Kwak, J.E., Song, M., and Kim, C.W. (2015) Investigating the Relationship of Research and Education in the Field of Machine Learning using Co-phrase Analysis and Topic Modeling, Scientometrics (SSCI) IM:2.274 4. Lee, D.H., Kim, W.C., Charidimou, A., and Song, M. (2015) A bird’s-eye view of Alzheimer disease research: reflecting different perspectives of indexers, authors, or citers in mapping the field, Journal of Alzheimer's Disease (SCI) IM:3.612 5. Charidimou, A., Fox, Z., Werring, D., Song, M. (2015) Cerebral amyloid angiopathy research: on the verge on an explosion?, International Journal of Stroke (SCI) IM:4.029 6. Wu, Y., Denny, J., S. Rosenbloom. S. T., Miller, R. A., Giuse, D., Song, M., Xu, H. (2015) Clinical Abbreviation Recognition and Disambiguation, Applied Clinical Informatics (SCIE) IM:0.386 7. Yunjung Pak, Young-jin Kim, Min Song, Yong-Hak Kim. (2015). Shock Waves of Political Risk on the Stock Market: The case of Korean Companies in the U.S. Development and Society 44(1) 8. Song, M., Heo, K.E., and Ding, Y. (2015) SemPathFinder: Semantic Path Analysis for Discovering Publicly Unknown Knowledge, Journal of Informetrics (SSCI) IM: 2.4129. 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 (SCI) IM: 2.194 10. Song, M.,
Kim, H.E.J, Kim,
H.J (2015)
Exploring Author
Name
Disambiguation on
PubMed-scale, Journal
of Informetrics
(SSCI)
IM: 2.412
1. Bleik,
S., Mishra, M.,
Huan, J., Song, M.
(2014) Text
Categorization of
Biomedical Data Sets
using Graph Kernels
and a Controlled
Vocabulary, IEEE/ACM
Transactions on
Computational
Biology and
Bioinformatics
(SCI) 3.
Song, M., Kim,
M., and Jung,
Y.K. (2014).
Analyzing the
Political
Landscape of
2012 Korean
Presidential
Election in
Twitter, IEEE
Intelligent
System (SCI)
7. Song, M., Heo, G.E., and
Lee, D.H.
(2014)
Identifying
the Landscape
of Alzheimer’s
Disease
Research with
Network and
Content
Analysis, Scientometrics
(SSCI) 9.
Jung, D.H. and
Song, M.
(2014) Time
Gap Analysis
by the Topic
Model-based
Temporal
Technique, Journal
of
Informetrics
(SSCI)
2013 7. Bleik, S., Song, M. and Xiong, W. (2013) Enhancing Biomedical Concept Extraction using Semantic Relationship Weights, International Journal of Data Mining and Bioinformatics (SCI) 8. Kim, H.J. and Song, M. (2013) An Ontology-Based
Approach to
Sentiment
Classification of
Mixed Opinions in
Online Restaurant
Reviews
Lecture Notes in
Computer Science
Volume 8238,
2013, pp 95-108
9. Ho, S.
M., Song, M. Bieber,
M., Zhang X. (2013)
IntegraL Makes Sense
Collective
Intelligence Enabled
by Anchor-based
Federated Search
Infrastructure, JASIST
(SSCI)
2012 3. Song,
M., Kim, S.Y. (2012)
Detecting the
Knowledge Structure
of Bioinformatics by
Mining Full-text
Collections , Scientometrics
(SSCI) 4. Zhang, L., Bieber, M., Song, M., Oria, V., and Millard, D. (2012) Supplementing Just-in-Time Hypermedia Functionality for Virtual Documents, Accepted in International Journal on Digital Libraries.
1.
Song, M., Yu,
H., and Han,
W.S. (2011) A
Semi-supervised
Learning
Technique to
Extract
Protein
Interaction
Sentences, BMC
Bioinformatics
2010
2. Jung, H.J., Bea, J.W., Hong, S.L., Park, C.W., and Song, M. (2016). Analysis of Twitter Public Opinion in Different Political Views: A Case Study of Sewol Ferry Accident, 한국언론학보 3. An, J.Y., Ahn, K.B., and Song, M. (2016) Text Mining Driven Content Analysis of Ebola on News Media and Scientific Publications, 문헌정보학회지 4. Kim, Y.Y. and Song, M. (2016) 영화 리뷰 감성분석을 위한 텍스트 마이닝 기반 감성 분류기 구축, Journal of Intelligent Information Systems1. Hahm, J. E. and Song, M. (2015) Detection of Hidden Knowledge Using a Citation-Based Approach Based on Swanson's ABC Model, 정 보관리학 회지 5.
Song, S.J., Kim, S.Y., Song, M. (2015) Investigation of
Topic Trends
in Information
Science by
Text Mining
Techniques:
Mining
Information
Science-related
Conferences in
DBLP, 정보관리
학회지 16. Kim, M.C., Shim, K.S., Han, N. G., Kim, Y.E., and Song, M. (2013) 트위터 상의 악의적 이용 자동분류, 문 헌정보학 회지 17. Gam M.A. and Song, M. (2013) 텍스트 마이닝을 활용한 신문사에 따른 내용 및 논조 차이점 분석, Journal of Intelligence and Information Systems (지능정보연구)
Accepted
Conference
Papers 1. Kim, J.D., Yue Wang, Y., Nicola Colic, N.,
Beak, S.H., Yong
Hwan Kim, Y.H., and
Song, M., Refactoring
the Genia Event
Extraction Shared
Task Toward a
General Framework
for IE-Driven KB
Development.
Proceedings of the
4th BioNLP Shared
Task Workshop
1. Kim, H.J., Oh, J.S., and Song,
M. (2015) ConseQE: a Context-sensitive Query Expansion
Technique in
Biomedical
Digital
Libraries, ICADL
15 4. Kim, Y.W., Lee, D.H., Hahm, J.E., Han, N.G., and Song, M. (2014) Investigating Socio-cultural Behavior of Users Reflected in Different Social Channels on K-pop, WWW14. 5. Song, M. and Kim, M.C. (2013) RT^2M : Real-time Twitter Trend Mining System, International Conference on Social Intelligence and Technology 2013, College Station, Pennsylvania (SOCIETY 2013) 6.
Bleik, S., Song,
M. and Han, W.S.
(2013) External
Knowledge-based
Features for Naïve
Bayes Biomedical
Text
Categorization The
Fifth
International
Conference on
Emerging
Databases-Technologies,Applications,
and Theory (EDB
2013), Jeju
Grand Hotel,
Jeju Island,
Korea 7. Wu,
Y., Denny, J., S.
Rosenbloom. S. T.,
Miller, R. A.,
Giuse, D., Song,
M., Xu, H. (2013)
A Prototype
Application for
Real-time
Recognition and
Disambiguation of
Clinical
Abbreviations, The
Seventh
International
Workshop on Data
and Text Mining
in Biomedical
Informatics,
November 1, San
Francisco, USA.
8. Song, M., Han, W.S., Yu, W. (2013) BoDBES: a Boosted Dictionary-based Biomedical Entity Spotter The Seventh International Workshop on Data and Text Mining in Biomedical Informatics, November 1, San Francisco, USA. 9. Mishra, M., Huan, J., Bleik, S. and Song, M. (2012) Biomedical Text Categorization with Concept Graph Representations Using a Controlled Vocabulary, BIOKDD 201210. Kim, S.Y., Song, M. (2012) Understanding Dynamics of the Field of Information Science with Text Mining Techniques, COLLNET 12 11. Yang, C., Tang, X., Kim, S.Y., Song, M. (2012) A trend analysis of domain-specific literatures with content and co-author network similarity, the 14th International Conference on Asia-Pacific Digital Libraries (ICADL 2012) 12. Choi, J.J., Kim, K.M., Song, M., Lee, D.H. (2012) TNMCA: Generation and Application of Network Motif-Based Inference Models for Drug Repositioning,DTMBIO 12 13. 박자현, 송민 (2012). 메타데이터를 활용한 조사자료의 문서범주화에 관한 연구. 제19회 한국정보관리학회 학술대회 논문집, 73-76. 14. Song, M., Yang, C., Tang, X., Han, W.S. (2012). Mapping the Field of Bioinformatics with a Content and Co-authorship Analysis, International Workshop on Biomedical and Health Informatics, Philadelphia, Oct. 4-7, 2012. 15.
Markson, C. and
Song, M. A Technique
for Suggesting
Related Wikipedia
Articles using Link
Analysis, JCDL 2012 18.
Rudniy, A. Geller,
J. and Song, M.
"Histogram
Difference String
Distance for
Enhancing Ontology
Integration in
Bioinformatics,"
accepted in Int.
Conf. on Bioinf.
and Comp. Biol.,
March 2012, Las
Vegas, NV.
|
 TSMM (Text
& Social Media Mining) Lab
|
Publication |