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Titlebook: Web Information Systems Engineering -- WISE 2013; 14th International C Xuemin Lin,Yannis Manolopoulos,Guangyan Huang Conference proceedings

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The Irreducible Spine(s) of Undirected Networksce is analyzed, and the concepts we develop are illustrated by means of a relatively small running sample network of 379 nodes, although they have been applied to networks of 4,764 and 5,242 nodes as well.
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High Quality Microblog Extraction Based on Multiple Features Fusion and Time-Frequency Transformatiosion, some important social media features are employed and transformed into wavelet domain and fused further, to get a weighted ensemble value. A large scale of Sina microblog dataset is used to evaluate the framework’s performance. Experimental results show that the proposed framework is effective to extract high quality information.
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High Quality Microblog Extraction Based on Multiple Features Fusion and Time-Frequency Transformatiosion, some important social media features are employed and transformed into wavelet domain and fused further, to get a weighted ensemble value. A large scale of Sina microblog dataset is used to evaluate the framework’s performance. Experimental results show that the proposed framework is effective to extract high quality information.
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Generating a Conceptual Representation of a Legacy Web Applicationom a framework-based legacy web application. This work is part of a bigger project, named MIGRARIA, whose main goal is to define a model-driven modernization process to obtain Rich Internet Aplications (RIAs) from legacy web systems.
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AKMiner: Domain-Specific Knowledge Graph Mining from Academic Literaturests: a) the extraction module which extracts academic concepts and relations jointly based on Markov Logic Network, and b) the visualization module which generates knowledge graphs, including concept-cloud graphs and concept relation graphs. Experimental results demonstrate the effectiveness of each component of our proposed system.
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AKMiner: Domain-Specific Knowledge Graph Mining from Academic Literaturests: a) the extraction module which extracts academic concepts and relations jointly based on Markov Logic Network, and b) the visualization module which generates knowledge graphs, including concept-cloud graphs and concept relation graphs. Experimental results demonstrate the effectiveness of each component of our proposed system.
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Propagated Opinion Retrieval in Twittertextual quality of a tweet. The experimental results show the effectiveness of our features for this task. Moreover the best ranking model with all features can outperform a BM25 baseline and state-of-the-art for Twitter opinion retrieval approach. Finally, we show that our approach equals human performance on this task.
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