Mining the Web for Access Decision-Making in Secure Spaces

Shun Hattori, Katsumi Tanaka
In public spaces, there are a number of different contents such as visitors, physical information resources, and virtual information resources via their embedded output devices (e.g., displays and speakers). Therefore, we might unexpectedly enter the public spaces that have our unfavorable characteristics (e.g., dismal and dangerous) and/or our unwanted information. For this problem, we have proposed a model and architecture of "Secure Spaces", which provide access control over public output
more » ... ices and entry control over electrical lockable doors to prevent visitors from entering the public spaces that have their unfavorable characteristics and/or their unwanted information according to their access policies for spaces or information, that is, what spaces or information they do not want to access. This paper tackles how to extract information for making access or entry decisions in Secure Spaces from very large text corpora such as the Web to enables users to more flexibly specify their access policies by keyword-based expressions in practice.
doi:10.14864/softscis.2008.0.370.0 fatcat:ja754qdbprf4vgoxvl3bb5isli