中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Modeling language and tools for the semantic link network

文献类型:期刊论文

作者Zhuge, Hai; Yuan, Kehua; Liu, Jin; Zhang, Junsheng; Wang, Xiaofeng
刊名CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
出版日期2008-05-01
卷号20期号:7页码:885-902
关键词browser metamodel modeling language semantic link network UML
ISSN号1532-0626
DOI10.1002/cpe.1274
英文摘要The semantic link network (SLN) is the extension of the hyperlink Web by attaching semantics to hyperlinks. It is an approach to construct a semantic overlay on Web resources. The specification of the semantics of the SLN model is an essential issue of SLN application. This paper proposes a modeling language for SLN consisting of an algebraic definition for SLN, a SLN metamodel and a Unified Modeling Language (UML) profile for SLN. The SLN metamodel specifies the primitives of the modeling language. The UML profile for SLN defines the specific syntax on SLN to make the modeling language understandable and usable. The development of the SLN builder implementing this language and the graphical SLN browser is introduced. This work is a part of the SLN model. Copyright (c) 2007 John Wiley & Sons, Ltd.
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000255384600008
出版者WILEY-BLACKWELL
源URL[http://119.78.100.204/handle/2XEOYT63/11187]  
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, Comp Technol Inst, Key Lab Intelligent Informat Proc, China Knowledge Grid Res Grp, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Zhuge, Hai,Yuan, Kehua,Liu, Jin,et al. Modeling language and tools for the semantic link network[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2008,20(7):885-902.
APA Zhuge, Hai,Yuan, Kehua,Liu, Jin,Zhang, Junsheng,&Wang, Xiaofeng.(2008).Modeling language and tools for the semantic link network.CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,20(7),885-902.
MLA Zhuge, Hai,et al."Modeling language and tools for the semantic link network".CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 20.7(2008):885-902.

入库方式: OAI收割

来源:计算技术研究所

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