TKBG — The knowledge based grep using self-key discovery and semantic linking for online resources

C. Sekar; M. S. Baba; G. Annapoorani; E. Soundararajan

DOI:10.1109/GET.2015.7453825

Corpus ID: 11790834

TKBG — The knowledge based grep using self-key discovery and semantic linking for online resources

@article{Sekar2015TKBGT,
  title={TKBG — The knowledge based grep using self-key discovery and semantic linking for online resources},
  author={C. Sekar and M. S. Baba and G. Annapoorani and E. Soundararajan},
  journal={2015 Online International Conference on Green Engineering and Technologies (IC-GET)},
  year={2015},
  pages={1-7}
}

C. Sekar, M. S. Baba, +1 author E. Soundararajan

Published 2015

Computer Science

2015 Online International Conference on Green Engineering and Technologies (IC-GET)

The tremendous growth of information resources in the World Wide Web (WWW) made the information retrieval process inefficient and irrelevant due to poor linking of data. One of challenging issues is to find the relevant information from web. Semantic web brings solution by meaningful information retrieval through unique semantic links. In this project, we propose a Self-Key Discovery algorithm based on Sematic Linking Network which allows systematically acquire keys to link RDF(Resource… CONTINUE READING

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