An autosuggest service based on lod backlinks

Augmented and meaningful interlinking between the triple- stores of the lod cloud is vital to the success of the linked-data movement; the employment of URIs alone is not enough to integrate datasets and make them accessible to humans and machines. In this paper, a layered interlinking architecture is presented, based on the concept of a registry, a place where linked-data services can store information about entities in an open and expandable way. As a demonstrator for the Billion Triple Challenge, an autosuggest application is presented (http://thalassa.ionio.gr/ranked/), capable of enhancing the interlinking among diverse datasets through the utilization of backlinks, i.e. references to the URIs of a local dataset originating from remote datasets.