Paper Info
Title
Exploring Web Resources in Social Annotation Services in Hierarchy
Abstract
This paper considers the problem of the organizing way of Web resources in social annotation systems. Currently, the Web resources in social annotation systems contain multiple topics, organizing them into different semantic clusters will facilitate userspsila browsing and search greatly. This paper proposes a hierarchy clustering method to organize Web resources in hierarchy by making full use of the linkage relationship between the Web resources and their annotations. In this way, users can browse or search a Web resource collection in a Google mappsilas way by going deep into a collection with more details. Some experiments on data set from Deli.icio.us are performed to justify the effectiveness of our method and a prototype based on pictures in Flickr is developed to demonstrate our idea.
Year
DOI
Venue
2009
10.1109/GCC.2009.60
GCC
Keywords
Field
DocType
web resource,exploring web resources,social annotation services,pattern clustering,different semantic cluster,web services,clustering algorithm,social annotation,social annotation service,full use,hierarchy,web service,hierarchy clustering method,linkage relationship,semantic web,user browsing,google map,social annotation system,web resource collection,multiple topic,clustering algorithms,ontologies,entropy,couplings,web pages
World Wide Web,Web page,Information retrieval,Semantic Web Stack,Computer science,Web standards,Data Web,Semantic Web,Web modeling,Web navigation,Social Semantic Web
Conference
ISBN
Citations 
PageRank 
978-0-7695-3766-5
1
0.37
References 
Authors
10
2
Name
Order
Citations
PageRank
Kun Yang14712.60
Zhongzhi Shi22440238.03