Link Representation and Discovery

In this chapter we address the question of how links can be discovered between different datasets published as Linguistic Linked Open Data. We describe common patterns to represent links both between data that are on the same language (monolingual scenario) and between data in different languages (cross-lingual scenario). Further, we describe techniques that can be used to automatically discover links between datasets. As most of these techniques rely on computing similarities between data elements, we briefly review the most common techniques for computing syntactic and semantic similarity. Finally, we provide a brief overview of tools and frameworks that can be used to semi-automatically discover links between language resources.

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