Data collection for evaluating automatic filtering of hazardous WWW information

Keiichiro Hoashi; Naomi Inoue; Kazuo Hashimoto

doi:10.1109/IWS.1999.811008

Data collection for evaluating automatic filtering of hazardous WWW information

Keiichiro Hoashi, Naomi Inoue, Kazuo Hashimoto

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	1999 Internet Workshop, IWS 1999
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	157-164
Number of pages	8
ISBN (Electronic)	0780359259, 9780780359253
DOIs	https://doi.org/10.1109/IWS.1999.811008
Publication status	Published - 1999 Jan 1
Externally published	Yes
Event	1999 Internet Workshop, IWS 1999 - Suita, Osaka, Japan Duration: 1999 Feb 18 → 1999 Feb 20

Other

Other	1999 Internet Workshop, IWS 1999
Country/Territory	Japan
City	Suita, Osaka
Period	99/2/18 → 99/2/20

ASJC Scopus subject areas

Information Systems and Management
Hardware and Architecture
Computer Networks and Communications

Access to Document

10.1109/IWS.1999.811008

Cite this

@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 = jan,

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.",

note = "1999 Internet Workshop, IWS 1999 ; Conference date: 18-02-1999 Through 20-02-1999",

}

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

AN - SCOPUS:85040782124

SP - 157

EP - 164

BT - 1999 Internet Workshop, IWS 1999

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 1999 Internet Workshop, IWS 1999

Y2 - 18 February 1999 through 20 February 1999

ER -

Data collection for evaluating automatic filtering of hazardous WWW information

Abstract

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this