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The explosive increasing of the social media data on the Web has created and promoted the development of the social media big data mining area welcomed by researchers from both academia and industry. The sentiment computing of news event is a significant component of the social media big data. It has also attracted a lot of researches, which could support many real-world applications, such as public...
Key-word based researches of service discovery focus on direct match of userpsilas requirements and often neglect relations between services. While techniques based on conventional semantic offer many kinds of relations, considerable time is spent on reasoning. In this paper, we utilizes E-FCM (Element Fuzzy Cognitive Map) to describe services for the reason that E-FCM can keep the semantic information...
In this paper, we propose a generalized V-shaped multilevel floorplanning method with consideration of fixed-outline constraint. The Sequence Pair is used as the floorplan representation. The proposed multilevel method (ML-IARFP) adopts a two-stage structure: top-down partitioning and floorplanning followed by bottom-up merging and refinement. At the first stage, we recursively partition and floorplan...
Associated knowledge flow (AKF) is a sequential link between associated topics, which can be applied to intelligent browsing and personalized recommendation. One key problem is how to measure the knowledge delivery quantity (KDQ) on an AKF. In this paper, a computational method of knowledge delivery quantity on an AKF is proposed. Firstly, considering the keywords and associated relations between...
Web service becomes an important paradigm for internet application. To realize userspsila complex requirements, services with different functions, but sharing common features, should be selected quickly from a huge number of services on internet to be collaborated. Researches on the discovery of services have put the emphasis on the finding out of services with similar functions, which is unable to...
Intelligent browsing of topics is one of the key issues of the Web and the knowledge grid, which provides on-demand services to support knowledge discovery and innovation. In this paper, Background of topics composed by Associated Relations (BAR) between keywords belonging to one domain is developed to extend the topicspsila associated relations based on the element fuzzy cognitive maps (E-FCMs),...
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