Abstract. Collecting data from the web is essential for research in
social science, like digital marketing and applied economics, and for
data research areas like Information Retrieval and Big Data. How-ever, most of current methods for automatically collecting web data
do not take into account principles of data protection policies. There-fore, it is crucial to realize a method that complies with legal, ethical,
and license policies established by governments and associations. In
this paper, we present a general framework for automatically collect-ing data from social networks which is able to preserve data privacy.
We propose an ontology to capture the nature of social network data,
and a procedure for translating web data into an OWL 2 ontology.
Then we propose to use Semantic Web Technologies for formally
expressing legal and ethical policies that regulate web data collec-tion and mechanisms for being compliant with those policies.
Abstract. Collecting data from the web is essential for research in
social science, like digital marketing and applied economics, and for
data research areas like Information Retrieval and Big Data. How-ever, most of current methods for automatically collecting web data
do not take into account principles of data protection policies. There-fore, it is crucial to realize a method that complies with legal, ethical,
and license policies established by governments and associations. In
this paper, we present a general framework for automatically collect-ing data from social networks which is able to preserve data privacy.
We propose an ontology to capture the nature of social network data,
and a procedure for translating web data into an OWL 2 ontology.
Then we propose to use Semantic Web Technologies for formally
expressing legal and ethical policies that regulate web data collec-tion and mechanisms for being compliant with those policies.
การแปล กรุณารอสักครู่..
