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Titlebook: Linked Data and Knowledge Graph; Seventh Chinese Sema Guilin Qi,Jie Tang,Yong Yu Conference proceedings 2013 The Editor(s) (if applicable)

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31#
發(fā)表于 2025-3-26 22:03:38 | 只看該作者
32#
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34#
發(fā)表于 2025-3-27 11:40:49 | 只看該作者
Publishing CLOD of Dangerous Chemicals Based on Semantic MediaWiki,proposed a method of constructing CLOD (Chinese Linked Open Data) on that field based on Semantic MediaWiki, making use of the Chinese and English Wikipedia version where each page corresponds to an instance in DBpedia. To make information semantic and machine-readable, we extract instances and meta
35#
發(fā)表于 2025-3-27 14:14:56 | 只看該作者
Toward Ontology Representation and Reasoning for News,vice and no special efforts are put on the applications of ontology techniques on deep news mining. In this paper, we demonstrate a whole strategy for deeply understanding event-focused news taking the advantage of ontology representation and ontology reasoning. We propose an ontology-enriched news
36#
發(fā)表于 2025-3-27 18:30:57 | 只看該作者
Pharmaceutical Semantic Database Query Mechanism Based on KeyWords,number and wide range of the drugs on the market, an effective semantic retrieval system can bring great convenience for doctors. However, for doctors who have no background knowledge of semantic technologies, to write formal semantics search statement is still very difficult. Therefore, this paper
37#
發(fā)表于 2025-3-28 00:47:41 | 只看該作者
38#
發(fā)表于 2025-3-28 05:52:51 | 只看該作者
Evaluating Article Quality and Editor Reputation in Wikipedia,e and editor reputation in a framework at the same time? In this paper, We propose a dual wing factor graph(DWFG) model, which utilizes the mutual reinforcement between articles and editors to generate article quality and editor reputation. To learn the proposed factor graph model, we further design
39#
發(fā)表于 2025-3-28 08:39:05 | 只看該作者
40#
發(fā)表于 2025-3-28 13:42:03 | 只看該作者
Jianfeng Du,Rongfeng Jiang,Yong Huted problems. Each member then becomes a stepping stone in a path to a simultaneous solution of the entire set of problems. As might be expected, there are many ways of accomplishing this imbedding. Time and space variables have been widely employed in the past, while modern approaches combine these
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