Semantics for Big Data access & integration: Improving industrial equipment design through increased data usability

@article{Williams2015SemanticsFB,
  title={Semantics for Big Data access & integration: Improving industrial equipment design through increased data usability},
  author={Jenny Weisenberg Williams and Paul Cuddihy and Justin McHugh and Kareem S. Aggour and Arvind Menon and Steven M. Gustafson and Timothy M Healy},
  journal={2015 IEEE International Conference on Big Data (Big Data)},
  year={2015},
  pages={1103-1112}
}
With the advent of Big Data technologies, organizations can efficiently store and analyze more data than ever before. However, extracting maximal value from this data can be challenging for many reasons. For example, datasets are often not stored using human-understandable terms, making it difficult for a large set of users to benefit from them. Further, given that different types of data may be best stored using different technologies, datasets that are closely related may be stored separately… CONTINUE READING

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