TY  - JOUR
TI  - Linked data paradigm for enterprises: information integration and value chain
T2  - 
IS  - 
KW  - value chain
KW  - Linked data
KW  - data WEB
KW  - linked open data
KW  - RDF
KW  - enterprise data integration
AB  - Daniel Hladky - Lecturer, Faculty of Business Informatics, National Research University Higher School of Economics. Address: 20, Myasnitskaya str., Moscow, 101000, Russian Federation. E-mail: dhladky@hse.ruSvetlana Maltseva - Professor, head of Department of Innovation and Business in Information Technologies, acting dean of Faculty of Business Informatics, National Research University Higher School of Economics. Address: 20, Myasnitskaya str., Moscow, 101000, Russian Federation. E-mail: smaltseva@hse.ruData integration in enterprises is a crucial but at the same time costly and challenging problem. The goal of this paper is to critically analyse current state of the art methods for data integration such as Service Oriented Architecture (SOA), enterprise taxonomy approach, search across data silos and database integration tools such as Master Data Management (MDM). The result of the analysis is compared to the Linked Data Paradigm and highlights the benefit of the Linked Data technology. A key focus is set on the life cycle including the conversion of raw data into RDF, the linking and fusion of entities process.  As a result the author proposes to apply the Linked Data Paradigm for information integration and develops a conceptual model for the Linked Data Value Chain. The Linked Data Value Chain model is described using the participating entities, describing the roles they and type of data they can have within the process. A brief introduction to value chain, especially to the value chain within CRM is given. The paper concludes by a proof of concept using the proposed model in relation to the CRM value chain.The article is published in English. Full text in English is available (see the file attached).
AU  - D. Hladky
AU  - S. Maltseva
UR  - https://bijournal.hse.ru/en/2013--2(24)/86477749.html
PY  - 2013
SP  - 3-12
VL  -