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When the physical space and the cyber space are linked by human, Cyber-Physical Society (CPS) has emerged and produced many challenges. Among which, the challenge of fast growing data and knowledge both from the physical space and the cyber space has become a crucial issue. Scalability becomes a big barrier in data processing (more specifically, search and reasoning). Traditional knowledge processing...
Relationships between entities in a Knowledge Base (KB) are not always explicitly expressed. In addition, entities may implicitly exist within explicit ones. These phenomena are very common when it comes to large-scale KBs. Finding implicit relationships in a KB can make the original KB more meaningful and enhance its potential in real world applications. In this paper, we focus on the problem of...
Current semantic Web reasoning systems do not scale to the requirements of their hottest applications, such as analyzing data from millions of mobile devices, dealing with terabytes of scientific data, and content management in enterprises with thousands of knowledge workers. In this paper, we present our plan of building the large knowledge collider, a platform for massive distributed incomplete...
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