OU
Professor
Department：
Professional Title：Professor
Position：
Duty：Doctoral supervisor,Master supervisor
Tel：
Address：
Office Hours：
Email：oushiyan@nju.edu.cn
Phone：
Personal profile
Research Areas: Digital Libraries & Digital Humanties, Semantic Web Technologies, Natural Language Processing & Text Mining
work experience
2009.10~present: School of Information Management, Nanjing University, China
Research field
Shiyan OU
Education background

2006.12~2009.07: Postdoctoral Research Fellow, Research Institute in Information and Language Processing, University of Wolverhampton, UK


2001~2005： PhD Student, School of Communication and Information, Nanyang Technological University, Singapore



Representative works

1. Shiyan Ou. Semantic Web and Digital Libraries. Nanjing: Nanjing University Press, 2017. (ISBN: 9787305195846）

2. Shiyan, Ou. Text Summarization in Digital Libraries: Development and Evaluation of a Multi-document Summarization Method for Research Abstracts. Saabrucken, Germany: VDM Verlag, 2009. (ISBN: 9783639180831)


Representative thesis

Ou, S., & Kim, H. Ranking-Based Cited Text Identification with Highway Networks. In Proceedings of the iConference 2020. Springer, 2020: 738-750. 

Ou, S., & Kim, H. Identification of Citation and Cited Texts for Fine-grained Citation Content Analysis. In Proceedings of the Association for Information Science and Technology, 56(1), 2019: 740-741. 

Ou, S., & Kim, H.  Unsupervised Citation Sentence Identification Based on Similarity Measurement. In Proceedings of the iConference 2018. Springer, 2018: 384-394.


Research project

2017~Present: 

State Key Program of National Social Science Foundation of China: Semantic Publishing  of Acdemic Articles and its Applications based on Linked Data (Grant No. 17ATQ001).


2011~2016： 

General Program of National Social Science Foundation of China: Research on the Construction and Application of SOA-based Terminology Registry and Terminology Services (Grant No.10YJA870014)  


2010~2015: 

General Program of Humanities and Social Science Foundation of the Ministry of Education: Research on Linked Data-based Semantic Digital Libraries (Grant No. 11BT0023)


Teaching situation

Undergraduate Student Course:

Digital Resource Managment Technologies

Textual Data Management and Analysis

Information Organization


Master Student  Course: 

Natural Language Processing and Text Mining


PhD Student Course: 

Research Advances and Application of Semantic Web & Text Mining



Social Appointments
Awards