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Communities and Emerging Semantics in Semantic Link Network: Discovery and Learning
Zhuge, Hai
2009-06-01
发表期刊IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
ISSN1041-4347
卷号21期号:6页码:785-799
摘要The World Wide Web provides plentiful contents for Web-based learning, but its hyperlink-based architecture connects Web resources for browsing freely rather than for effective learning. To support effective learning, an e-learning system should be able to discover and make use of the semantic communities and the emerging semantic relations in a dynamic complex network of learning resources. Previous graph-based community discovery approaches are limited in ability to discover semantic communities. This paper first suggests the Semantic Link Network (SLN), a loosely coupled semantic data model that can semantically link resources and derive out implicit semantic links according to a set of relational reasoning rules. By studying the intrinsic relationship between semantic communities and the semantic space of SLN, approaches to discovering reasoning-constraint, rule-constraint, and classification-constraint semantic communities are proposed. Further, the approaches, principles, and strategies for discovering emerging semantics in dynamic SLNs are studied. The basic laws of the semantic link network motion are revealed for the first time. An e-learning environment incorporating the proposed approaches, principles, and strategies to support effective discovery and learning is suggested.
关键词Community discovery e-learning emerging semantics semantic community Semantic Link Network
DOI10.1109/TKDE.2008.141
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Engineering, Electrical & Electronic
WOS记录号WOS:000265984900005
出版者IEEE COMPUTER SOC
引用统计
被引频次:161[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/11496
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zhuge, Hai
作者单位Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100080, Peoples R China
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Zhuge, Hai. Communities and Emerging Semantics in Semantic Link Network: Discovery and Learning[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,2009,21(6):785-799.
APA Zhuge, Hai.(2009).Communities and Emerging Semantics in Semantic Link Network: Discovery and Learning.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,21(6),785-799.
MLA Zhuge, Hai."Communities and Emerging Semantics in Semantic Link Network: Discovery and Learning".IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 21.6(2009):785-799.
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