Building Association Link Network for Semantic Link on Web Resources

被引:161
|
作者
Luo, Xiangfeng [1 ]
Xu, Zheng [1 ]
Yu, Jie [1 ]
Chen, Xue [1 ]
机构
[1] Shanghai Univ, Sch Comp Engn & Sci, Ctr High Performance Comp, Shanghai 200444, Peoples R China
基金
美国国家科学基金会;
关键词
Association link network (ALN); intelligent browsing; interactive computing; knowledge discovery; semantic Web; DISCOVERY; MANAGEMENT;
D O I
10.1109/TASE.2010.2094608
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Association Link Network (ALN) aims to establish associated relations among various resources. By extending the hyperlink network World Wide Web to an association-rich network, ALN is able to effectively support Web intelligence activities such as Web browsing, Web knowledge discovery, and publishing, etc. Since existing methods for building semantic link on Web resources cannot effectively and automatically organize loose Web resources, effective Web intelligence activities are still challenging. In this paper, a discovery algorithm of associated resources is first proposed to build original ALN for organizing loose Web resources. Second, three schemas for constructing kernel ALN and connection-rich ALN (C-ALN) are developed gradually to optimize the organizing of Web resources. After that, properties of different types of ALN are discussed, which show that C-ALN has good performances to support Web intelligence activities. Moreover, an evaluation method is presented to verify the correctness of C-ALN for semantic link on documents. Finally, an application using C-ALN to organize Web services is presented, which shows that C-ALN is an effective and efficient tool for building semantic link on the resources of Web services. Note to Practitioners-Association Link Network (ALN) aims to establish associated relations among various resources. By extending the hyperlink network World Wide Web to an association-rich network, ALN is able to effectively support Web intelligence activities such as Web browsing, Web knowledge discovery and publishing, etc. Since existing methods for building semantic link on Web resources cannot effectively and automatically organize loose Web resources, effective Web intelligence activities are still challenging. A discovery algorithm of associated resources is first proposed by us to build original ALN for organizing loose Web resources. The properties of different types of ALN are discussed, which show that C-ALN has good performances to support Web intelligence activities. An application using C-ALN to organize Web services is presented, which shows that C-ALN is an effective and efficient tool for building semantic link on the resources of Web services.
引用
收藏
页码:482 / 494
页数:13
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