Linked Open Data
Machine readable data is becoming a standard for companies and organisations that use it to normalise and
connect their informational and content resources, in a movement following the rise of Data Science and
One can hear a lot of buzz about “Big Data” these days, which reflects
a general misconception about the exponential improvements offered by a massive amount of raw data.
The more data is good but not necessarily the best. The (more) discriminated data is much better as machines
can read and understand it from scratch, hence improving the semantic accuracy of their processes.
Enters here Linked Data technologies.
Linked Data (LD) standards has brought a great deal of standardisation in this area, as it is at the foundation
of core infrastructures such as semantic driven database such as the Google Knowledge Graphs or AI systems
such as IBM Watson. LD even sustains the whole data architecture of Wikipedia/Wikidata, which is at the centre
of the Linked Open Data cloud (i.e. Semantic Web), the network connecting all open data repositories complying to LD standards.
You will find more information related to Linked Data by following the links below :