TSMM (Text & Social Media Mining) Lab

Where Innovation is Created


Journal Papers

Accepted Papers

1. Lee, K.H., Kim, S.Y., Kim, H.J., Song, M. (2017) Comparative Evaluation on Various Bibliometric Networks by Tomographic Content Analysis: An Application to Parkinson’s Disease, JASIST (SSCI)
2. Baek, S.H., Kim, M.K. Kim, M.J., Kang, M.S., Yoo, H.J., Lee, N. H., Kim, Y.H., Song, M., and Lee, J.H. (2017). Metabolites distinguishing visceral fat obesity and atherogenic traits in the individuals with overweight, Obesity (SCI)
An, J.Y., Kim, N.H., Kan, M.Y., Chandresekaran, M.K., and Song, M. (2017) Exploring Characteristics of Highly Cited Authors according to Citation Location and Content,  JASIST (SSCI)
Song, M., Kim, S.Y., and Lee, K.H. (2017) Ensemble analysis of topical journal ranking in Bioinformatics, JASIST (SSCI)
5. Baek, S.H., Kim, M.K., Kim, M.J. Yoo, H.J., Lee, A., Ji, M.J., Song, M., and Lee, J.H. (2017). Relationship between changes in polyunsaturated fatty acids and aging-related arterial stiffness in overweight subjects 50 years or older over a 3-year period, Journal of Clinical Lipidology (SCI)
Amjad, T., Ding, Y., Xu, J., Zhang, C., Daud, A., Tang, J., & Song, M. (2017)  Standing on the Shoulders of Giants, Journal of Informetrics (SSCI)

7. Amplayo, R.K. and Song, M. (2017) An adaptable fine-grained sentiment analysis for summarization of multiple short online reviews, Data & Knowledge Engineering (SCI)
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)
Kim, M.U.. Baek, I.J., & Song, M.  (2017) Topic Diffusion Analysis of a Weighted Citation Network in Biomedical Literature,  JASIST (SSCI)

Accepted Domestic Papers

Under Review -- Journal:

1. Cho, W.S., Lee, J.M., Song, M. (2017) Ideological Bias and Polarization among Twitter Networks in South Korea, Asian Journal of Communication (SSCI)
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) 
Amplayo, R.K., Hong, S.L. and Song, M. (2017) Network-based approach to detect novelty of scholarly literature, Information Sciences (SCI)
5. 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)
6. 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)
7. 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)
8. Daud, A., Song, M., Hayat, M. K., Amjad, T., & Abbasi, R. A. (submitted) Finding Rising Stars: a Survey, JASIST (SCI)
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)
10. Chen, C., Song, M., & Heo, G.E. (submitted) A Scalable and Adaptive Method for Selecting Semantically Equivalent Cues of Uncertainty, Journal of Informetrics (SSCI)
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:

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
2. Charidimou, A., Fox, Z., Werring, D.J., Song, M. (2016) Mapping the landscape of cerebral amyloid angiopathy research: a informetric analysis perspective, Journal of Neurology, Neurosurgery, and Psychiatry (SCI) IM:5.580

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
5. Kim, H.J., Jeong, Y.K., Kim, Y.Y., Kang, K.Y., Song, M. (2016) Topic-based Content and Sentiment Analysis of Ebola Virus on Twitter and in the News, Journal of Information Science (SSCI)
6. Wang, B. and Song, M. (2015) Listen from microblog - do people tell us their company performance, Social Science Research Network (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2648806)
7. Kim, Y.H., Baek, S.H., Charidimou, A., Song, M. (2016). Discovering new genes as a common trigger for pertinent diseases, Journal of Alzheimer's Disease (SCI)

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)
Dong, X., Xu, J., Ding, Y., Zhang, C., Zhang, K. & Song, M. (2016) Understanding the Correlations between Social Attention and Topic Trends of Scientific Publications, Journal of Data and Information Science (Inaugural issue)
Kim, H.J., Yoon, H.G., Kim, C.O., Song, M. (2016). Opinion Polarity Detection in Twitter Data Combining Topic Modeling and Shrinkage Regression, Journal of Informetrics (SSCI)
11. Verspoor, K., Heo, G.E., Kang, K.Y., and Song, M. (2016) Establishing a baseline for literature mining of human genetic variants and their relationships to disease cohorts, BMC Medical Informatics and Decision Making (SCIE)
12. Zhu, Y.J., Song, M., and Yan, E. (2016) Identifying Liver Cancer and Its Relations with Diseases, Drugs, and Genes: A Literature-based Approach, PLOS One (SCIE)
Zhu, Y.J., Yan, E., and Song, M. (2016) Understanding the academic landscape of library and information science through faculty hiring data, Scientometrics (SSCI)
Kim, H.J., Jeoung, Y.K., and Song, M. (2016) Content- and Proximity-based Author Co citation Analysis Using Citation Sentences, Journal of Informetrics (SSCI)
15. Lee, K.H., Jung, H.J., and Song, M. (2016) Subject-method topic network analysis in communication studies, Scientometrics (SSCI)
Jung, H.J., Lee, K.H., Song, M. (2016) Examining Characteristics of Traditional and Twitter Citation, Frontiers in Research Metrics and Analytics
(Inaugural issue)


1. Yu, Q., Ding, Y., Song, M., Song, S.J., Liud, J., Zhange, B. (2015) Tracing dataset usage: Detecting main paths in database citation networks, Journal of Informetrics (SSCI) IM: 2.412
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: 2.412

9.  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
11. Song, M. Jeong, Y.K., and Kim, H.J. (2015) Identifying the topology of the K-pop video community on YouTube: A  combined co-comment analysis approach, JASIST (SSCI) IM:2.23


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)

2. Song, M. and Kim, S.Y., Zhang, G., and Ding, Y. (2014). Productivity and Influence in Bioinformatics: A Bibliometric Analysis using PubMed Central, JASIST (SSCI)

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)
4. Song, M., Han, N.G., Kim, Y.H., Ying, D., and Chamber, T. (2014). Discovering Implicit Entity Relation with the Gene-Citation-Gene Network, PLOS One (SCI)
5. Jung, Y.K., Song, M., Ying, D. (2014) Content-based Author Co-citation Analysis, Journal of Informetrics (SSCI)
6. Ding, Y., Song, M., Wang, X., Zhang, G., Zhai, C., and Chambers, T. (2014) Content-based citation analysis: The next generation of
citation analysis, JASIST (SSCI)

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)
Kim, M.C., Jung, Y.K., and Song, M. (2014) Investigating the Integrated Landscape of the Intellectual Topology in the Domain of Bioinformatics, Scientometrics (SSCI)

9. Jung, D.H. and Song, M. (2014) Time Gap Analysis by the Topic Model-based Temporal Technique, Journal of Informetrics (SSCI)
10. Rudniy, A., Song, M., and Geller, J. (2014) Longest Approximately Common Prefix method for duplicate detection of biomedical entities, BMC Bioinformatics (SCI)
11. Song, M., Heo, G.E., and Kim, S.Y. (2014). Analyzing Topic Evolution in Bioinformatics: Investigation of Dynamics of the Field with Conference Data in DBLP, Scientometrics (SSCI)
12. Kim, Y.W., Lee, D.H., Han, N.G., and Song, M. (2014) Exploring Characteristics of Video Consuming Behavior in Different Social Media Using K-pop Videos, Journal of Information Science (SSCI)

1. Hahm, J.E., Kim, S.Y., Kim, M.C., Song, M. (2013) Exploring Indexer's Effect in Keyphrase Extraction, Information Research (SSCI)

2. Ding, Y., Song, M., Han, J., Lin, L., Yu, Q., Ridenour, L. (2013). Entitymetrics: Measuring the impact of entities, PLOS One (SCI)
3. Song, M., Yang, C., Tang, X. (2013). Detecting Evolution of Bioinformatics with a Content and Co-authorship Analysis, SpringerPlus. (SSCI)
4. Song, M. (2013) Opinion: Text Mining in the Clinic, The Scientist (SSCI)
5. Choi, J., Kim, K., Song, M., Lee, D.H. (2013) Generation and Application of Drug Indication Inference Models Using Typed Network Motif Comparison Analysis, BMC Medical Informatics and Decision Making (SCI)
6. Tang, X., Yang, C., Song, M. (2013). Understanding the Evolution of Multiple Scientific Research Domains Using a Content and Network Approach. 64(5): 1065-1075. JASIST. (SSCI)

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)

1. Lee, S.J., Choi, J.J., Park, K.H., Song, M., and Lee, D.H. (2012) Discovering context-specific relationships from biological literature by using multi-level context terms, BMC Medical Informatics and Decision Making 2012.
2. Song, M. (2012) Opinion: Text Mining Medicine (Subtitle: Researchers should scour historic medical archives to discover knowledge that could inform today biomedical research and clinical practice) The Scientist (SSCI)

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
2. Lee, M., Lee, K. H., Song, M., Lee, D. (2011) Building the process-drug–side effect network to discover the relationship between biological Processes and side effects, BMC Bioinformatics 2011, 12(Suppl 2):S2 (29 March 2011)
3. Qi, T., Song, M., Yoon, S. J., Watrous-deVersterre, L. (2011) Combining Supervised Learning Techniques to Key-phrase Extraction for Biomedical Full-text, accepted in International Journal of Intelligent Information Technologies (IJIIT) 7(1): 33-44.

1. Ijaz, A.Z., Song, M. and Lee, D. (2010) MKEM: a Multi-level Knowledge Emergence Model for Mining Undiscovered Public Knowledge, BMC Bioinformatics, 11(Suppl 2):S3 doi:10.1186/1471-2105-11-S2-S3.
2. Song, M. and Rudniy, A. (2010) Detecting Duplicate Biological Entities using Markov Random Field-based Edit Distance, to be published in 2010 Knowledge and Information Systems.
3. Song, M. and Liu, H. (2010) AbbrevExtractor: a Robust Extraction Technique for Biomedical Literature, to be published in 2009, International Journal of Functional Informatics and Personalised Medicine, vol. 3, no. 2.
4. Rudniy, A., Song, M., Geller, J. (2010) Detecting Duplicate Biological Entities Using Shortest Path Edit Distance, to be published in 2010, International Journal of Data Mining and Bioinformatics.

Domestic Journals

1. Jin, S. and Song, M. (2016) Text-mining based Measurement of Interdisciplinarity in the fields of Informatics Journals, 정보관리 학회지
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 Systems
1. 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
6. Ahn, H.R., Song, M., Heo, G.E. (2015) Inferring Undiscovered Public Knowledge by Using Text Mining Analysis and Main Path Analysis, 한 국비블리아학회지

7. Heo, G.E. and Song, M. (2014). 텍스트 마이닝 기반의 그래프 모델을 이용한 공공지식 추론, 정보관리학 회지
8. Kim, H.J. and Song, M. (2014). 동시출현단어 분석을 통한 국내외 정보학 학회지 연구동향, 정 보관리학회지
9. Song, M. (2014). TAKES: Two-step Approach for Knowledge Extraction in Biomedical Digital Libraries, Journal of Information Science Theory and Practice
10. Bae, J.W., Han, N.G., Song, M. (2014) 토픽 모델링을 이용한 트위터 이슈 트래킹 시스템,
Journal of Intelligence and Information Systems (지능정보연구)
11. Kang, B.I., Song, M., and Jho, H.W. (2013). 토픽 모델링을 이용한 신문 자료의 오피니언 마이닝에 대한 연구 문헌 정보학회지
12. Bae, J.W., Son, J.E., and Song, M. (2013) 텍스트 마이닝을 이용한 2012년 한국 대선 관련 트위터 분석,
13. Heo, G.E. and Song, M. (2013) 저자동시인용 분석과 동시출현단어 분석을 이용한 의료정보학 저널의 지적구조 분석, 정보관리학회지

14. Park, J.H and Song, M. (2013) 토픽모델링을 활용한 국내 문헌정보학 연구동향 분석, 정 보관리학회지

15. Jin, S.A., Heo, K.E., Jung, Y.K., Song, M. (2013) 트위터 데이터를 이용한 네트워크 기반 토픽 변화 추적 연구, 한국정보관리학회지

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

Conference Papers

1. Kim, H.J., Oh, J.S., and Song, M. (2015) ConseQE: a Context-sensitive Query Expansion Technique in Biomedical Digital Libraries, ICADL 15
2. Verspoor, K., Heo, G.E., Kang, K.Y., and Song, M. (2015) Extraction of fine-grained semantic relations for the Human Variome, DTMBIO 15
3. Rudniy, A., Song, M., and Geller, J. (2014) Improved Shortest Path Edit Distance for Synonyms Identification,
BICoB 2014

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 2012
10. 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
16. Tanapaisankit, P., Watrous-De Versterre, L. and Song, M. Personalized Query Expansion in the QIC System, JCDL 2012
17. Watrous-Deversterre, L., Wang, C. and Song, M. Concept Chaining utilizing Meronyms in Text Characterization, 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.
19. Song, M., Bleik, S., Yu, H., Han, W.S. (2011) Extracting Biomedical Concepts from Fulltext by Relative Importance in a Graph Model, BHI
20. Oh, J., Park, S., Yu, H., Song, M. and Park, S.T. (2011). Novel Recommendation based on Personal Popularity Tendency, The IEEE International Conference on Data Mining series (ICDM), 2011.
21. Xu, G., Song, M., and Feng, J. (2011). Research on Multi-agent Comprehensive Evaluation Model Based on Attribute Coordinate, IEEE International Conference on Granular Computing. 2011.
22. Tanapaisankit, P. Song, M., Fox, E. A. (2011) Developing a Concept Extraction Technique with Ensemble Pathway, JCDL 2011
23. Bleik, S., Wei, X., Wang, Y., Song, M. (2010) Biomedical Concept Extraction using Concept Graphs and Ontology-based Mapping, BIBM
24. Lee, S., Lee, D. H., Song, M. (2010) Discovering Biological Processes and Side Effects Relationship Using the Process-drug-side effect Network, DTMBIO
25. Rudniy, A., Geller, J., and Song, M. (2010) Shortest Path Edit Distance for Enhancing UMLS Integration and Audit, American Medical Informatics Association 2010
26. Song, M., Yu, W. J., and Han, W. S. (2010) Combining Active Learning and Semi-supervised Learning Techniques to Extract Protein Interaction Sentences, BIOKDD 10, in conjunction with KDD 2010, Washington, D.C. July 25.
27. Rudniy, A., Song, M., and Geller, J. (2010) Shortest Path Edit Distance for Detecting Duplicate Biological Entities. ACM International Conference on Bioinformatics and Computational Biology.
28. Ho, S. M., Song, M., Bieber, M., (2010) IntegraL: The Effectiveness of a Link-based Federated Search Infrastructure, iConference 2010.
29. Xiong, W., Song, M., Watrous-deversterre, L. (2010) A Quantitative Assessment of SENSATIONAL with an Exploration of Its Applications, FLAIRS 2010.

Under development
Detecting User Query Intent in the Biomedical Domain