Big Data Hadoop for Cloud-Based Enterprise Collaboration Systems
Hsiao-Kang Lin and Chun-I Chen*
Department of Industrial Management, I-Shou University, Kaohsiung, Taiwan ROC
- *Corresponding Author:
- Chun-I Chen
Department of Industrial Management
I-Shou University, Kaohsiung, Taiwan, China
E-mail: [email protected]
Received date: November 23, 2015; Accepted date: November 24, 2015; Published date: November 28, 2015
Citation: Lin HK, Chen CI (2015) Big Data Hadoop for Cloud-Based Enterprise Collaboration Systems. Int J Econ Manag Sci 4:300. doi:10.4172/2162-6359.1000300
Copyright: © 2015 Lin HK, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
With the growing popularity of cloud computing, enterprises are turning their collaboration platforms towards Software as a Service (SaaS) applications over the Internet. Companies hosting cloud-computing services face the challenges of multi-dimensional information and knowledge from a variety of distributed sources. Semantic web technologies provide the solution to semantic interoperability of heterogeneous data. In addition, the NoSQL Hadoop database (HBase) is being adopted dramatically on the cloud for semantic data integration. This paper investigates a Hadoop Database (HBase) approach for semantic web information representation across distributed and collaborative enterprises systems.