Abstract

The World Wide Web has expanded from a network of hyper-linked documents to a more complex structure where both documents and data are easily published, consumed and reused. Ideally, users should be able to access this information as a single, global data space. However, Linked Data on the Web is highly heterogeneous: different datasets may describe overlapping domains, using different approaches to data modelling and naming. A single global ontological conceptualisation is impracticable, and instead a more extensible approach is needed for semantic integration of heterogeneous Linked Data sets into a global data space.

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