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Erschienen in:
2014 | OriginalPaper | Buchkapitel
K-Base: Platform to Build the Knowledge Base for an Intelligent Service
verfasst von : Sungho Shin, Jung-Ho Um, Sung-Pil Choi, Hanmin Jung, Shuo Xu, Lijun Zhu
Erschienen in: Mobile, Ubiquitous, and Intelligent Computing
Verlag: Springer Berlin Heidelberg
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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.