論文

• Lan Wang, Shinpei Hayashi, Motoshi Saeki. Applying Class Distance to Decide Similarity on Information Models for Automated Data Interoperability, International Journal of Software Engineering and Knowledge Engineering, vol. 31, no. 3, pp. 405-434, Mar. 2021.

国際会議発表 (査読有り)

• Lan Wang, Shinpei Hayashi, Motoshi Saeki. Automated Data Integration based on Conceptual Models and Its Application in Industry, Data Science & Blockchain Workshop (DSBC 2018), Oct. 2018.
• Lan Wang, Shinpei Hayashi, Motoshi Saeki. An Improvement on Data Interoperability with Large-Scale Conceptual Model and Its Application in Industry, Conceptual Modeling: Research in Progress: Companion Proceedings of the 36th International Conference on Conceptual Modelling (ER 2017), vol. 1979, pp. 249-262, Nov. 2017.
• Lan Wang, Shinpei Hayashi. How to Keep System Consistency via Meta-Model-Based Traceability Rules?, 35th International Conference on Conceptual Modeling (ER 2016), Nov. 2016.

学位論文

• A Study on Achieving Data Interoperability between Information Models,  Thesis,  Tokyo Institute of Technology, 
• A Study on Achieving Data Interoperability between Information Models,  Outline,  Tokyo Institute of Technology, 
• A Study on Achieving Data Interoperability between Information Models,  Summary,  Tokyo Institute of Technology, 

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