Automated discovery of multi-faceted ontologies for accurate query answering and future semantic reasoning

@article{Gollapalli2013AutomatedDO,
  title={Automated discovery of multi-faceted ontologies for accurate query answering and future semantic reasoning},
  author={Mohammed Gollapalli and Xue Li and I. Wood},
  journal={Data Knowl. Eng.},
  year={2013},
  volume={87},
  pages={405-424}
}
  • Mohammed Gollapalli, Xue Li, I. Wood
  • Published 2013
  • Computer Science
  • Data Knowl. Eng.
  • There has been a surge of interest in the development of probabilistic techniques to discover meaningful data facts across multiple datasets provided by different organizations. The key aim is to approximate the structure and content of the induced data into a concise synopsis in order to extract meaningful data facts. Performing sensible queries across unrelated datasets is a complex task that requires a complete understanding of each contributing database's schema to define the structure of… CONTINUE READING
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