Paper Info
Title
The personal publication reader: illustrating web data extraction, personalization and reasoning for the semantic web
Abstract
This paper shows how Semantic Web technologies enable the design and implementation of advanced, personalized information systems. We demonstrate by means of an example application how personalized content syndication can be realized in the Semantic Web. Our approach consists of two main parts: The web data extraction part, providing the information system with real-time, dynamic data, and the personalization part, which deduces – with the aid of ontological domain knowledge – personalized views on the data. The prototype of the system has been realized using the Personal Reader Framework for designing, implementing, and maintaining Web content Readers.
Year
DOI
Venue
2005
10.1007/11431053_35
ESWC
Keywords
Field
DocType
personalized view,dynamic data,personalized information system,semantic web,illustrating web data extraction,web data extraction part,semantic web technology,information system,personal publication reader,personalized content syndication,web content readers,main part,personalization,domain knowledge
World Wide Web,Web intelligence,Semantic Web Stack,Web page,Information retrieval,Computer science,Web standards,Semantic Web,Data Web,Web modeling,Social Semantic Web
Conference
Volume
ISSN
ISBN
3532
0302-9743
3-540-26124-9
Citations 
PageRank 
References 
18
1.28
11
Authors
3
Name
Order
Citations
PageRank
Robert Baumgartner1424.51
Nicola Henze294690.27
Marcus Herzog31769.16