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Semi-Automated Integration of Legacy Systems Using Linked Data

A lot of valuable data is stored in standalone legacy systems inside enterprise infrastructure across different domains. It was always a big challenge to integrate such systems with each other even on structural level, but with the recent development of Semantic Web technologies its now clear that integration on semantic level could be achieved and data from different sources could be used more effectively. Its now becoming a trend to open data to the public according to Linked Data principals, but there is no common workflow that could be used with legacy systems. In this paper we propose our solution for semi-automated integration of legacy systems using Linked data principals. We analyze the motivation and current state of the art in the domain, present our method and algorithms for data extraction, transformation, mapping and interlinking. Finally we show our own implementation of the proposed solution and discuss the results.