Abstract
To tackle the problem of low-efficiency integration of heterogeneous data from various legacy ERP systems, a data integration approach based on ontology learning are presented. Considering the unavailability of database interface and diversity of DBMS and naming conventions of legacy information systems, a data integration framework for legacy ERP systems based on ontology learning from structured query language (SQL) scripts (RDB) are proposed. The key steps and technicality of the proposed framework and the process of ontology-based semantic integration are depicted.
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Acknowledgment
This work was supported by grants of the European Union co-financed by the European Social Fund (EFOP-3.6.3-VEKOP-16-2017-00002) and the China Scholarship Council (201808610145).
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Ma, C. (2019). Data Integration of Legacy ERP System Based on Ontology Learning from SQL Scripts. In: Welzer, T., et al. New Trends in Databases and Information Systems. ADBIS 2019. Communications in Computer and Information Science, vol 1064. Springer, Cham. https://doi.org/10.1007/978-3-030-30278-8_52
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