Build RDF storage onthe distributed architecture of Hadoop

• Main Authors: Jyun-ping Zeng, 曾俊評
• Other Authors: Ching-Long Yeh
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/63864755046387707157

碩士 === 大同大學 === 資訊工程學系(所) === 99 === World Wide Web(World Wide Web ，WWW) into the Web 2.0, provides collaborative services so that users can play outside in the information provided consumer information role. This kind of social network multi-directional communication is to build knowledge and management techniques, is gradually being digital learning, business management and other areas of importance to explore the field of light can enhance the possibility. General information on the network to do the integration, each can make the knowledge base of information is no longer isolated. So the Semantic Web content sucked do these heterogeneous data integration is an important technology. 　　We will use Apache Hadoop project development to provide reliable, scalable, open source distributed computing software architecture as the basic storage HBase base, then to Hadoop provides the "Map-Reduce" kit to improve the efficiency of query. 　　Hoping that through this experiment constructed by the system and the experimental data, the clouds can make the distributed knowledge base platform to interact and exchange, and can be personalized to promote ubiquitous social sharing and collaboration services.