In this paper, we propose to start to tackle this problem, with a
specific focus on guaranteeing that the activities performed during
data collection are compliant with given legal and ethical policies,
and guaranteeing that the way those data are stored and re-used is
also compliant with those policies. Using Semantic Web technologies,
we perform automatic data extraction from social network for
representing the data extracted and for reasoning on their semantics.
Then we formally express policies that regulate how data is manipulated
in order to be compliant with ethical guidelines and laws. The
novelty of our work is twofold. First, nowadays there are no studies
or tools for collecting non-reactive data from theWeb that follow formal
models of policy and norms representation. Second, we exploit
techniques for automatic extraction and representation of knowledge
from semi-structured and unstructured data in order to identify sensitive
information and violated policies, following on-line research
ethical guidelines and legal constrains.
In this paper, we propose to start to tackle this problem, with a
specific focus on guaranteeing that the activities performed during
data collection are compliant with given legal and ethical policies,
and guaranteeing that the way those data are stored and re-used is
also compliant with those policies. Using Semantic Web technologies,
we perform automatic data extraction from social network for
representing the data extracted and for reasoning on their semantics.
Then we formally express policies that regulate how data is manipulated
in order to be compliant with ethical guidelines and laws. The
novelty of our work is twofold. First, nowadays there are no studies
or tools for collecting non-reactive data from theWeb that follow formal
models of policy and norms representation. Second, we exploit
techniques for automatic extraction and representation of knowledge
from semi-structured and unstructured data in order to identify sensitive
information and violated policies, following on-line research
ethical guidelines and legal constrains.
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