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In the social computing environment, the complete information about an individual is usually distributed in heterogeneous social networks, which are presented as linked data. Synthetically recognizing and integrating these distributed and heterogeneous data for efficiently information searching is an important but challenging work. In this paper, a dynamic weight (DW)-based similarity calculation...
Linked data consist of both node attributes, e.g., Preferences, posts and degrees, and links which describe the connections between nodes. They have been widely used to represent various network systems, such as social networks, biological networks and etc. Knowledge discovery on linked data is of great importance to many real applications. One of the major challenges of learning linked data is how...
Today, Big Data is drawing a lot of attention and popularity and is aspiring enterprises to utilise more efficiently their data to help them understand how to better function, grow and manage as a business. Enterprises are aware that to derive real business value from Big Data and seek competitive advantages, they need to have available the right tool to extract, capture and organize a wide variety...
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