Data collection for evaluating automatic filtering of hazardous WWW information

Keiichiro Hoashi, Naomi Inoue, Kazuo Hashimoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We describe our data collection constructed for the evaluation of automatic filtering of hazardous WWW information. Currently, there are three types of filtering systems: self rating, individual rating and automatic filtering. We propose an ideal system architecture for effective filtering based on the analysis of existing systems. For the development of our filtering system, we have collected a massive amount of hazardous WWW data. We presumed that WWW pages with few words are difficult to filter automatically, but analysis on our data collection has proved that effective automatic filtering can be achieved by applying the hierarchy of HTML data. We have also practically proved this hypothesis by evaluation experiments using an experimental automatic filtering algorithm.

Original languageEnglish
Title of host publication1999 Internet Workshop, IWS 1999
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages157-164
Number of pages8
ISBN (Electronic)0780359259, 9780780359253
DOIs
Publication statusPublished - 1999 Jan 1
Externally publishedYes
Event1999 Internet Workshop, IWS 1999 - Suita, Osaka, Japan
Duration: 1999 Feb 181999 Feb 20

Other

Other1999 Internet Workshop, IWS 1999
CountryJapan
CitySuita, Osaka
Period99/2/1899/2/20

ASJC Scopus subject areas

  • Information Systems and Management
  • Hardware and Architecture
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Data collection for evaluating automatic filtering of hazardous WWW information'. Together they form a unique fingerprint.

Cite this