Building an Index of Nanomedical Resources: An Automatic Approach based on Text Mining

Chiesa, Stefano; García Remesal, Miguel; Calle, Guillermo de la; Iglesia Jimenez, Diana de la; Bankauskaite, Vaida y Maojo Garcia, Victor Manuel (2008). Building an Index of Nanomedical Resources: An Automatic Approach based on Text Mining. En: "12th international conference, KES 2008 Knowledge-based Intelligent Information and Engineering Systems", 03/09/2008-05/09/2008, Zagreb, Croatia.

Descripción

Título: Building an Index of Nanomedical Resources: An Automatic Approach based on Text Mining
Autor/es:
  • Chiesa, Stefano
  • García Remesal, Miguel
  • Calle, Guillermo de la
  • Iglesia Jimenez, Diana de la
  • Bankauskaite, Vaida
  • Maojo Garcia, Victor Manuel
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 12th international conference, KES 2008 Knowledge-based Intelligent Information and Engineering Systems
Fechas del Evento: 03/09/2008-05/09/2008
Lugar del Evento: Zagreb, Croatia
Título del Libro: Proceedings of 12th international conference, KES 2008 Knowledge-based Intelligent Information and Engineering Systems
Fecha: 2008
Materias:
Palabras Clave Informales: nanomedicine, text mining, biomedicine, nanoinformatics.
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Nanomedicine is an emerging discipline aimed to applying recent developments in nanotechnology to the medical domain. In recent years, there has been an exponential growth of the number of available nanomedical resources. The latter are aimed to different tasks and include databases, nanosensors, implantable materials, etc. This leads to the necessity of creating new methods to automatically organize such resources depending on their provided functionalities. In this paper we will first present a brief overview on the nanomedical discipline and its related technologies. Next we will introduce a method targeted to the automated creation of an index of nanomedical resources. This method is based on an existing approach to automatically build an index of biomedical resources from research papers using text mining techniques. We believe that such an index would be a valuable tool to foster the research on nanomedicine. This is an example of application in the new area of Nanoinformatics.

Más información

ID de Registro: 4275
Identificador DC: http://oa.upm.es/4275/
Identificador OAI: oai:oa.upm.es:4275
URL Oficial: http://kes2008.kesinternational.org/
Depositado por: Memoria Investigacion
Depositado el: 24 Sep 2010 10:17
Ultima Modificación: 20 Abr 2016 13:34
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