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1 Hakimpour, F. and Geppert, A. (2005). Resolution of semantic heterogeneity in database schema integration using formal ontologies. Information Technology and Management, 6:97–122
2 Herrmann, K., Voigt, H., Behrend, A., Rausch, J., and Lehner, W. (2017). Living in parallel realities: Co-existing schema versions with a bidirectional database evolution language. In Proceedings of the 2017 ACM International Conference on Management of Data, SIGMOD/PODS, pages 1101–1116
3 Herrmann, K., Voigt, H., Behrend, A., Rausch, J., and Lehner, W. (2017). Living in parallel realities: Co-existing schema versions with a bidirectional database evolution language. In Proceedings of the 2017 ACM International Conference on Management of Data, SIGMOD/PODS, pages 1101–1116
4 Mergen, S. L. S. and Heuser, C. A. (2006). Data translation between taxonomies. In International Conference on Advanced Information Systems Engineering, pages 111– 124. Springer
5 Moller, M. L., Klettke, M., Hillenbrand, A., and Storl, U. (2019). Query rewriting for ¨ continuously evolving NoSQL databases. In International Conference on Conceptual Modeling, ER, pages 213–221
6 Moon, H. J., Curino, C. A., Deutsch, A., Hou, C.-Y., and Zaniolo, C. (2008). Managing and querying transaction-time databases under schema evolution. Proceedings of the VLDB Endowment, 1(1):882–895.
7 Ventrone, V. (1991). Semantic heterogeneity as a result of domain evolution. ACM SIGMOD Record, 20(4):16–20.