Title
Building Association Link Network for Semantic Link on Web Resources
Abstract
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.
Year
DOI
Venue
2011
10.1109/TASE.2010.2094608
IEEE T. Automation Science and Engineering
Keywords
Field
DocType
Semantics,Association rules,Web services,Knowledge engineering,Web pages,Resource description framework,Petroleum
World Wide Web,Web intelligence,Web page,Semantic Web Stack,Computer science,Data Web,Semantic Web,Web modeling,Web navigation,Social Semantic Web
Journal
Volume
Issue
ISSN
8
3
1545-5955
Citations 
PageRank 
References 
136
4.40
21
Authors
4
Search Limit
100136
Name
Order
Citations
PageRank
Xiangfeng Luo11251124.38
Zheng Xu235219.51
Jie Yu321811.26
Xue Chen41588.11