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Evaluation of Information Retrieval Algorithms Within an Energy Documents Repository

  • Diego Márquez
  • Yasmín HernándezEmail author
  • Alberto Ochoa-Ortiz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10633)

Abstract

The development of energy and electricity sectors have result in a cumulus of technical and scientific documents related with several topics. The large activity in these sectors results in a growing repository, where the search for information based on keywords is not sufficient. We need a way to find relevant documents given a need of information. Information retrieval is the process of finding unstructured documents to satisfy an information need from within large collections. Several information retrieval has been proposed, we have analyzed them. Base on this analysis, we are working on an information retrieval model according to specific needs of energy and electricity sectors. We have evaluated the vector Space algorithm, probabilistic algorithm and our proposal. Here, we present the results of the evaluation and our preliminary proposal.

Keywords

Information retrieval Natural language processing Artificial intelligence Algorithms Text retrieval Energy documents 

Notes

Acknowledgments

Authors would like to thank to Publication Department of the Instituto Nacional de Electricidad y Energías Limpias for its support in the development of this research.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Diego Márquez
    • 1
  • Yasmín Hernández
    • 1
    Email author
  • Alberto Ochoa-Ortiz
    • 2
  1. 1.Instituto Nacional de Electricidad y Energías Limpias, Gerencia de Tecnologías de la InformaciónCuernavacaMexico
  2. 2.Maestría en Cómputo Aplicado, Universidad Autónoma de Ciudad JuárezCiudad JuárezMexico

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