A scheme for privacy-preserving ontology mapping
Toshiyuki Amagasa, Fan Zhang, Jun Sakuma, Hiroyuki Kitagawa · 2014
Due to the rapid proliferation of ontology-based information systems and networks, there are strong demands for ontology-mapping in a privacy-aware way. To this problem, in this paper, we propose Privacy-Preserving Quick Ontology Mapping (P2QOM), a privacy-preserving ontology mapping scheme based on Quick Ontology Mapping (QOM). The idea is to implement QOM, a well-known ontology-mapping scheme, in a privacy-preserving setting. More precisely, we assume a (untrusted) third party. In each client, the ontology being matched is converted into a set of features, and they are transmitted to the third party after obfuscation. The schema mapping is performed in the third party by exploiting some techniques for computing the similarity between the obfuscated features. The experimental results reveal that the proposed scheme is comparable to the original (non-privacy preserving) QOM in terms of both accuracy and performance, though the proposed scheme involves some extra overheads.