Semantic Hyperlink Analysis Model

Author

Liu, Huasheng ; Liu, Gang ; Lv, Yuqin

Author_Institution

Sch. of Electron. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China

fYear

2008

fDate

3-5 Dec. 2008

Firstpage

416

Lastpage

419

Abstract

To obtain more accurate and rational subscriptions from Web documents in the World Wide Web a semantic ranking model is proposed. Based on hyperlink analysis and semantic content analysis the model combines Markov chain,Latent Semantic Indexing and hierarchical clustering. This model is sensitive to newly published Web documents and can be used to combat content spamming and in-link spamming in Web search engine, to extend user query through user relevance feedback and also to topic of user query sensitively search in context.

Keywords

Markov processes; hypermedia; indexing; relevance feedback; search engines; semantic Web; Markov chain; Web documents; Web search engine; World Wide Web; content spamming; hierarchical clustering; inlink spamming; latent semantic indexing; semantic content analysis; semantic hyperlink analysis model; semantic ranking model; user relevance feedback; Context modeling; Feedback; Indexing; Knowledge engineering; Matrix decomposition; Search engines; Subscriptions; Web pages; Web search; Web sites;

fLanguage

English

Publisher

ieee

Conference_Titel

Semantics, Knowledge and Grid, 2008. SKG '08. Fourth International Conference on

Conference_Location

Beijing

Print_ISBN

978-0-7695-3401-5

Electronic_ISBN

978-0-7695-3401-5

Type

conf

DOI

10.1109/SKG.2008.7

Filename

4725952