Authors:
Nuno Bettencourt
1
;
Nuno Silva
1
and
João Barroso
2
Affiliations:
1
GECAD and Instituto Superior de Engenharia and Instituto Politécnico do Porto, Portugal
;
2
INESC TEC and Universidade de Trás-os-Montes e Alto Douro, Portugal
Keyword(s):
Recommendation, Access Policy, Unknown-unknown.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Communication, Collaboration and Information Sharing
;
Information Security
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Metadata and Structured Documents
;
Social Networks and the Psychological Dimension
;
Symbolic Systems
Abstract:
As the amount of content and the number of users in social relationships is continually growing in the Internet,
resource sharing and access policy management is difficult, time-consuming and error-prone. In order to
aid users in the resource-sharing process, the adoption of an entity that recommends users with access policies
for their resources is proposed, by the analysis of (i) resource content, (ii) user preferences, (iii) users’
social networks, (iv) semantic information, (v) user feedback about recommendation actions and (vi) provenance/
traceability information gathered from action sensors. A hybrid recommendation engine capable of
performing collaborative-filtering was adopted and enhanced to use semantic information. Such recommendation
engine translates user and resources’ semantic information and aggregates those with other content, using
a collaborative filtering technique. Recommendation of access policies over resources promotes the discovery
of known-unknown
and unknown-unknown resources to other users that could not even know about the
existence of such resources. Evaluation to such recommender system is performed.
(More)