Deriving Processes of Information Mining Based on Semantic Nets and Frames

  • Sebastian Martins
  • Darío Rodríguez
  • Ramón García-Martínez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8482)


There are information mining methodologies that emphasize the importance of planning for requirements elicitation along the entire project in an orderly, documented, consistent and traceable manner. However, given the characteristics of this type of project, the approach proposed by the classical requirements engineering is not applicable to the process of identifying the problem of information mining, nor allows to infer from the business domain modelling, the information mining process which solves it. This paper proposes an extension of semantic nets and frames to represent knowledge of the business domain, business problem and problem of information mining; and a methodology to derive the information mining process from the proposed knowledge representations is introduced.


information mining requirement engineering deriving processes of information mining semantic nets frames 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Sebastian Martins
    • 1
    • 2
  • Darío Rodríguez
    • 1
    • 2
  • Ramón García-Martínez
    • 1
    • 2
  1. 1.Information Systems Research GroupNational University of LanusArgentina
  2. 2.PhD Program on Computer ScienceNational University of La PlataArgentina

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