Ontology-based approach for context-dependent annotation templates recommendations

Abstract

During annotation processes, annotation tools make use of different annotation structures to describe information objects. The chosen structures can depend on the the user needs or the nature of the objects described. In this paper we present the approach that was followed in order to construct an ontology-based matching engine capable of suggesting those structures depending on the context. This paper covers how these annotations were represented in order to follow Linked Data principles, and how Matching Descriptions were used to compute annotation templates suggestions. The design is exemplified in the trust policy specification domain, implemented and used by the annotation tools. © 2011 Springer-Verlag.