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The ALTER-NATIVA knowledge management approach

Author

Listed:
  • Joao Sarraipa

    (Universidade Nova de Lisboa
    UNINOVA-GRIS, Centre of Technology and Systems)

  • Catarina Marques-Lucena

    (Universidade Nova de Lisboa
    UNINOVA-GRIS, Centre of Technology and Systems)

  • Silvia Baldiris

    (University of Girona)

  • Ramón Fabregat

    (University of Girona)

  • Silvana Aciar

    (Universidade Nacional de San Juan)

Abstract

Nowadays, it is commonly known that information systems need an agile capability of handling knowledge. To accomplish this, systems have to have a formal knowledge representation ability supported by specific and advanced reasoning features. This research work proposes a knowledge management approach with the purpose to gather, model and consume community knowledge for specific recommendation commitments. Such approach is accomplished by a semantic lexicon alignment between the various community knowledge assets, to facilitate collaborations establishment between people and systems in an interoperable fashion. Thus, a knowledge base supported by a thesaurus able to represent all the metadata needed to represent and characterize the various community stakeholders’ resources is proposed. The thesaurus represents the lexicon in the domain, which in the ALTER-NATIVA systems is mostly used to support the various e-Learning elements (e.g. courses) and users categorization, sustained by synchronization features to facilitate a constant update of its information. A set of services designed to recommend specific resources in relation to a determined profile of user is provided. Additionally, a discussion about how the ALTER-NATIVA knowledge management approach can be applied to industrial environments is presented.

Suggested Citation

  • Joao Sarraipa & Catarina Marques-Lucena & Silvia Baldiris & Ramón Fabregat & Silvana Aciar, 2016. "The ALTER-NATIVA knowledge management approach," Journal of Intelligent Manufacturing, Springer, vol. 27(1), pages 83-99, February.
    • Handle: RePEc:spr:joinma:v:27:y:2016:i:1:d:10.1007_s10845-014-0929-0
    DOI: 10.1007/s10845-014-0929-0
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