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Towards a Service-Oriented Architecture for Knowledge Management in Big Data Era

Towards a Service-Oriented Architecture for Knowledge Management in Big Data Era

Thang Le Dinh, Thuong-Cang Phan, Trung Bui, Manh Chien Vu
Copyright: © 2018 |Volume: 14 |Issue: 4 |Pages: 15
ISSN: 1548-3657|EISSN: 1548-3665|EISBN13: 9781522542810|DOI: 10.4018/IJIIT.2018100102
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MLA

Le Dinh, Thang, et al. "Towards a Service-Oriented Architecture for Knowledge Management in Big Data Era." IJIIT vol.14, no.4 2018: pp.24-38. http://doi.org/10.4018/IJIIT.2018100102

APA

Le Dinh, T., Phan, T., Bui, T., & Vu, M. C. (2018). Towards a Service-Oriented Architecture for Knowledge Management in Big Data Era. International Journal of Intelligent Information Technologies (IJIIT), 14(4), 24-38. http://doi.org/10.4018/IJIIT.2018100102

Chicago

Le Dinh, Thang, et al. "Towards a Service-Oriented Architecture for Knowledge Management in Big Data Era," International Journal of Intelligent Information Technologies (IJIIT) 14, no.4: 24-38. http://doi.org/10.4018/IJIIT.2018100102

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Abstract

Nowadays, big data is a revolution that transforms conventional enterprises into data-driven organizations in which knowledge discovered from big data will be integrated into traditional knowledge to improve decision-making and to facilitate organizational learning. Consequently, a major concern is how to evolve current knowledge management systems, which are confronted with a various and unprecedented amount of data, resulting from different data sources. Therefore, a new generation of knowledge management systems is required for exploring and exploiting big data as well as for facilitating the knowledge co-creation between the society and its business environment to foster innovation. This article proposes a service-oriented architecture for elaborating a new generation of big data-driven knowledge management systems to help enterprises to promote knowledge co-creation and to obtain more business value from big data. The proposed architecture is presented based on the principles of design science research and its evaluation uses the analytical evaluation method.

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