A Linked Data Scalability Challenge: Concept Reuse Leads to Semantic
  Decay
  The increasing amount of available Linked Data resources is laying the
foundations for more advanced Semantic Web applications. One of their main
limitations, however, remains the general low level of data quality. In this
paper we focus on a measure of quality which is negatively affected by the
increase of the available resources. We propose a measure of semantic richness
of Linked Data concepts and we demonstrate our hypothesis that the more a
concept is reused, the less semantically rich it becomes. This is a significant
scalability issue, as one of the core aspects of Linked Data is the propagation
of semantic information on the Web by reusing common terms. We prove our
hypothesis with respect to our measure of semantic richness and we validate our
model empirically. Finally, we suggest possible future directions to address
this scalability problem.
