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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Numerical Representation of Web Sites of Remote Sensing Satellite Data Providers and Its Application to Knowledge Based Information Retrievals with Natural Language

Author 1: Kohei Arai
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 2, No. 10 · Published 2013

DOI: https://doi.org/10.14569/IJARAI.2013.021005

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Abstract

A method for numerical expression of web site which is relating to satellite remote sensing and its application to knowledge based information retrieval system which allows retrievals with natural language is proposed and implemented. Through experiments with remote sensing related information, it is found that the proposed information retrieval system does work in particular for remote sensing satellite data retrievals with natural language.

Keywords

Information retrieval Knowledge based system Natural language Feature mapping

How to Cite this Article

Arai, K. (2013). Numerical Representation of Web Sites of Remote Sensing Satellite Data Providers and Its Application to Knowledge Based Information Retrievals with Natural Language. International Journal of Advanced Research in Artificial Intelligence, 2(10). https://doi.org/10.14569/IJARAI.2013.021005

Arai, Kohei. "Numerical Representation of Web Sites of Remote Sensing Satellite Data Providers and Its Application to Knowledge Based Information Retrievals with Natural Language." International Journal of Advanced Research in Artificial Intelligence, vol. 2, no. 10, 2013, https://doi.org/10.14569/IJARAI.2013.021005.

@article{Arai2013,
  title     = {Numerical Representation of Web Sites of Remote Sensing Satellite Data Providers and Its Application to Knowledge Based Information Retrievals with Natural Language},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {2},
  number    = {10},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai},
  doi       = {10.14569/IJARAI.2013.021005},
  url       = {https://doi.org/10.14569/IJARAI.2013.021005}
}

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