Utilizing Linked Data and Big Data for organisational and enterprise purposes will be one of the next big challenges in the evolution of the web. Big Data takes account of the fact that new techniques and technologies are needed for the sustainable and socially balanced exploitation of huge data pools. The Linked Data paradigm is one approach to cope with Big Data, as it advances the hypertext principle from a web of documents to a web of rich data. Both branches will be crucial driving forces in next generation economies.
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According to a recent McKinsey Report "Big Data" refers to data sets whose size is beyond the abaility of typical database software tools to capture, store manage and analyze. Being strongly subjective the attribute "Big Data" is hard to measure and varies between branches and industry sectors. But, analyzing large data sets—so-called big data—will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, according to research by MGI and McKinsey's Business Technology Office.
Complementary to this Linked Data stands for semantically well structured, interconnected, syntactically interoperable datasets that are distributed among several repositories either inside or outside organisations. Originating from the Open Source community numerous commercial and non-commercial organisations have started to utilize Linked Data for purposes like acquisition, enrichment, disambiguation or publishing of data, lowering the costs of data integration and data quality improvement.
Especially data publishing will benfit from the Linked Data paradigm as its clear syntax eliminates the necessity for complex API documentations and provides an easy to use, self-explanatory interface for the reusability of existing data sources, thus making the web more interactive, participatiory and innovative.