Paper Info
Title
A knowledge fusion model for Web information
Abstract
The Web was designed as an information space by Tim Berners-Lee, with the goal not only that it should be available for human reading, but also that machine would be able to participate in and help users to communicate with each other. Web information integration can only free them from the tedious tasks of finding the relevant data sources. But the most existing systems do not really integrate information. Deeper information integration, or knowledge fusion (KF), involves not only delivering the information available via the links to user, but also analyzing, and merging the information results coming from information sources by solving the result consistencies, removing duplicates, etc. In the paper, we give a formal model for knowledge fusion for XML data and the KF-based information access architecture.
Year
DOI
Venue
2005
10.1109/WI.2005.4
Web Intelligence
Keywords
Field
DocType
relevant data source,kf-based information access architecture,fiom information source,knowledge fusion model,world wide web,xml,xml data,knowledge jkion,web information integration,deeper information integration,information result,data sources,knowledge representation,internet,information resources,knowledge fusion,information space,web design,information source,information access architecture,formal specification,information integration,semantic web
Web design,Ontology merging,Data mining,Information integration,World Wide Web,Knowledge representation and reasoning,Information retrieval,Computer science,Information access,Semantic Web,Information space,Information filtering system
Conference
ISBN
Citations 
PageRank 
0-7695-2415-X
8
0.57
References 
Authors
8
3
Name
Order
Citations
PageRank
Nengfu Xie1188.62
Cungen Cao230958.63
Hong Yu Guo380.57