Abstract
Recently, there is an increasing interest in effectively using big data. It is also thought that the machine learning methods are crucial to effectively extract knowledge from big text data when they are coupled with big data technologies such as MapReduce and Hadoop. For tasks such as the knowledge extraction from huge amount of texts and the reasoning, it produces better results to simultaneously apply a machine learning method and big data technologies to the system. In this research, we propose a system using a machine learning method and big data technologies, and compare it with the existing system in terms of velocity and accuracy. The proposed system is expected to faster and more accurately build the knowledge base than the existing system.
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Shin, S., Um, JH., Choi, SP., Jung, H., Xu, S., Zhu, L. (2014). K-Base: Platform to Build the Knowledge Base for an Intelligent Service. In: Park, J., Adeli, H., Park, N., Woungang, I. (eds) Mobile, Ubiquitous, and Intelligent Computing. Lecture Notes in Electrical Engineering, vol 274. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40675-1_42
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DOI: https://doi.org/10.1007/978-3-642-40675-1_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40674-4
Online ISBN: 978-3-642-40675-1
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