WordNet is a tool that may help in establishing the internal links between information and in providing the inference logic just like what attackers may use during attacks to deal with the issue of privacy measurement.
Nov 13, 2020
Feb 8, 2018 · The conclusion of the analysis is that current WordNet based measures are not very suitable for privacy measurement. Therefore, this paper also ...
The conclusion of the analysis is that current WordNet based measures are not very suitable for privacy measurement. Therefore, this paper also provides some ...
Privacy protection is a fundamental issue in the era of big data. For personalized privacy protection, it is necessary to measure the amount or the degree ...
In this paper, we propose a semantic inference method based on the WordNet ontology to measure privacy disclosure in which we employ an information content (IC) ...
A semantic inference method based on the WordNet ontology to measure privacy disclosure is proposed in which an information content (IC) based method is ...
Oct 1, 2022 · In this paper, we propose an ontology-based approach to measure privacy disclosure by exploring the relationships between privacy information based on the ...
In this paper, we present a new approach for semantic similarity measuring which is based on edge-counting and information content theory.
Missing: Suitability | Show results with:Suitability
Results show that wordnet is not suitable for measuring privacy leakage as it does not coincide with the privacy idea of human ratings [36,37]. Human rating ...
On the Suitability of Applying WordNet to Privacy Measurement · Nafei ZhuSiyu ... WordNet based measures are not very suitable for privacy measurement ...