Knowledge Graph Mining for the Linked Open Data Cloud

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The development of structured data on the Web, through the linked data paradigm (aka the Web of data), has received considerable attention during the last few years, especially with the adoption of knowledge graphs by companies such as Google and Microsoft to enhance their search engines. The Linked Open Data Cloud (LOD), a set of interconnected data sets across domains, represents the latest developments of the Web of data. We have witnessed a huge development in the number of published RDF datasets. One of the main interests of the LOD is its potential to offer semantic search capabilities such as query answering with direct answers instead of sets of documents, and the ability to a) find answers from various knowledge sources and b) infer answers through reasoning mechanisms.