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Linked data paradigm for enterprises: information integration and value Chain

Hladky D. and Maltseva S. V.
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Hladky D.: National Research University Higher School of Economics
Maltseva S. V.: National Research University Higher School of Economics

Бизнес-информатика, 2013, issue 2 (24), 3-12

Abstract: Data integration in enterprises is a crucial but at the same time costly and challenging problem. While business-critical information is stored in ERP, CRM, SCM and in Content Management systems the integration of such becomes even more critical when integrating with the growing information space on the Web. The IT industry has developed over the last decade integration solutions based on Master Data Management, Business Intelligence and the Service Oriented Architecture. However, we become increasingly aware that such technologies are not sufficient to ultimately solve all data integration challenges. Under the vision of context-aware services and integration we propose to apply the technology of the Linked Data paradigm. This approach seems to be promising, as scientists in the evolution of the Semantic Web have used it. We discuss Linked Data approaches in relation to the value chain and information integration of heterogeneous content and present an example of a CRM business process applying the Linked Data principles.

Date: 2013
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