DocumentCode
2000067
Title
A Multi-Strategy Approach to Rating and Filtering Online Resources
Author
Bertino, Elisa ; Ferrari, Elena ; Perego, Andrea ; Zarri, Gian Piero
Author_Institution
Purdue Univ., West Lafayette, IN
fYear
2005
fDate
26-26 Aug. 2005
Firstpage
519
Lastpage
523
Abstract
This paper illustrates some of the semantic Web techniques used in the framework of the EU project EUFORBIA, which deals with the rating and filtering of `questionable´ Web sites concerned with racism, violence, pornography, etc. The rationale for using a high-level semantic approach in this domain is linked with the assumption that an in-depth description of the `semantic content´ of Web sites should allow the implementation of filtering strategies more flexible, accurate and (neatly) sophisticated than the current ones. From a technical point of view, the final result of the project consists of two integrated prototypes that communicate through a common ontology
Keywords
information filtering; meta data; ontologies (artificial intelligence); semantic Web; EUFORBIA project; Web filtering; Web site; high-level semantic approach; multistrategy approach; online resource; semantic Web technique; Educational institutions; Information filtering; Information filters; Knowledge representation; Libraries; Ontologies; Protection; Prototypes; Semantic Web; Web pages;
fLanguage
English
Publisher
ieee
Conference_Titel
Database and Expert Systems Applications, 2005. Proceedings. Sixteenth International Workshop on
Conference_Location
Copenhagen
ISSN
1529-4188
Print_ISBN
0-7695-2424-9
Type
conf
DOI
10.1109/DEXA.2005.21
Filename
1508325
Link To Document