Soft Computing

, Volume 22, Issue 6, pp 1845–1854 | Cite as

A personal knowledge management metamodel based on semantic analysis and social information

  • J. F. López-Quintero
  • J. M. Cueva Lovelle
  • R. González Crespo
  • V. García-Díaz
Methodologies and Application


This article describes the development of a functional architecture for personal knowledge management (PKM), defined from the lessons-learnt concept registered in a mass-use social network analyzed with an algorithm of machine learning. This functional architecture applies, in practical manner, the implementation of a registry system of the personal lessons learnt in the cloud through a Facebook social network. The process starts by acquiring data from the connection to a non-relational database (NoSql) in Amazon’s SimpleDB and to which a complementary analysis algorithm of machine learning has been configured for the semantic analysis of the information registered from lessons learnt and, thus, to study the generation of organizational knowledge management from PKM. The result is the design of a functional architecture that permits integrating the Web 2.0 application and a semantic analysis algorithm from unstructured information by applying machine learning techniques.


Knowledge management Tacit knowledge Knowledge model Organizational learning 


Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants performed by any of the authors.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • J. F. López-Quintero
    • 1
  • J. M. Cueva Lovelle
    • 2
  • R. González Crespo
    • 3
  • V. García-Díaz
    • 2
  1. 1.Universidad de OviedoOviedoSpain
  2. 2.Departamento de InformáticaUniversidad de OviedoOviedoSpain
  3. 3.Escuela Superior de Ingeniería y TecnologíaUniversidad Internacional de La Rioja (UNIR)LogroñoSpain

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