An editor that uses a block metaphor for representing semantic mappings in linked data

Abstract

The Linked Open Data cloud contains several knowledge bases with overlapping concepts. In order to reduce heterogeneity and enable greater interoperability, semantic mappings between resources can be established. These mappings are usually represented using mapping languages, where visual representations are often used to support user involvement. In prior work, we have proposed a visual representation based on the block metaphor, called Juma, and applied it to uplift mappings. In this paper, we extend its applicability and propose the use of this visual representation for semantic mappings that automatically generate executable mappings between knowledge bases. We also demonstrate the viability of our approach, in the representation of real mappings, through a use case.