Semantic interlinking is defined as the establishment of links and relations between multiple structured datasets.
The exponential growth of data is becoming pervasive across different areas of business and science. Despite its wide availability in large amounts, data is typically stored in standalone silos where different datasets are represented using different formats, stored and indexed within different system architectures, and maintained following different business processes. For example, in certain organizations it is possible to encounter customer databases, technical reports, product images, and other datasets that need to be used in conjunction. Such data integration problems are a long-standing open research challenge in the data management area. The recent rise of big data with its volume and variety dimensions has magnified already existing issues.
Similar challenges are also often present in Open Data where datasets are published and made...
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