A multi-strategy approach to rating and filtering online resources

被引:4
|
作者
Bertino, E [1 ]
Ferrari, E [1 ]
Perego, A [1 ]
Zarri, GP [1 ]
机构
[1] Purdue Univ, CERIAS, W Lafayette, IN 47907 USA
关键词
D O I
10.1109/DEXA.2005.21
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:519 / 523
页数:5
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