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

Fingerprint

World Wide Web
HTML
Data collection
Experiments

ASJC Scopus subject areas

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

Cite this

Hoashi, K., Inoue, N., & Hashimoto, K. (1999). Data collection for evaluating automatic filtering of hazardous WWW information. In 1999 Internet Workshop, IWS 1999 (pp. 157-164). [811008] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWS.1999.811008

Data collection for evaluating automatic filtering of hazardous WWW information. / Hoashi, Keiichiro; Inoue, Naomi; Hashimoto, Kazuo.

1999 Internet Workshop, IWS 1999. Institute of Electrical and Electronics Engineers Inc., 1999. p. 157-164 811008.

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

Hoashi, K, Inoue, N & Hashimoto, K 1999, Data collection for evaluating automatic filtering of hazardous WWW information. in 1999 Internet Workshop, IWS 1999., 811008, Institute of Electrical and Electronics Engineers Inc., pp. 157-164, 1999 Internet Workshop, IWS 1999, Suita, Osaka, Japan, 99/2/18. https://doi.org/10.1109/IWS.1999.811008
Hoashi K, Inoue N, Hashimoto K. Data collection for evaluating automatic filtering of hazardous WWW information. In 1999 Internet Workshop, IWS 1999. Institute of Electrical and Electronics Engineers Inc. 1999. p. 157-164. 811008 https://doi.org/10.1109/IWS.1999.811008
Hoashi, Keiichiro ; Inoue, Naomi ; Hashimoto, Kazuo. / Data collection for evaluating automatic filtering of hazardous WWW information. 1999 Internet Workshop, IWS 1999. Institute of Electrical and Electronics Engineers Inc., 1999. pp. 157-164
@inproceedings{a0db45266d4642a1bc272a67d64adf05,
title = "Data collection for evaluating automatic filtering of hazardous WWW information",
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.",
author = "Keiichiro Hoashi and Naomi Inoue and Kazuo Hashimoto",
year = "1999",
month = "1",
day = "1",
doi = "10.1109/IWS.1999.811008",
language = "English",
pages = "157--164",
booktitle = "1999 Internet Workshop, IWS 1999",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Data collection for evaluating automatic filtering of hazardous WWW information

AU - Hoashi, Keiichiro

AU - Inoue, Naomi

AU - Hashimoto, Kazuo

PY - 1999/1/1

Y1 - 1999/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85040782124&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85040782124&partnerID=8YFLogxK

U2 - 10.1109/IWS.1999.811008

DO - 10.1109/IWS.1999.811008

M3 - Conference contribution

SP - 157

EP - 164

BT - 1999 Internet Workshop, IWS 1999

PB - Institute of Electrical and Electronics Engineers Inc.

ER -