some semantics tasks are optimized by using tools designed
for large dataset processing, especially MapReduce framework.
More, in the articles cited in the following lines, the term Big
Data is rarely explicitly mentioned; it could be hidden behind
terms like “web scale/web-scale” or “large scale/large-scale”
[21,38–41] to express the volume feature, “real-time” or “dynamic”
[42,43] to express velocity and “informal/informality”,
“natural language”, “unstructured” or “data streams” [44–47]
to state the variety/variability feature. In another way, Big Data
can be experienced through Linked Data: it has volume, variety,
and veracity features and we can thus assume that other
characteristics are under control [13].