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A virtual mart for knowledge discovery in databases

Author

Listed:
  • Claudia Diamantini

    (Universitá Politecnica delle Marche)

  • Domenico Potena

    (Universitá Politecnica delle Marche)

  • Emanuele Storti

    (Universitá Politecnica delle Marche)

Abstract

The Web has profoundly reshaped our vision of information management and processing, enlightening the power of a collaborative model of information production and consumption. This new vision influences the Knowledge Discovery in Databases domain as well. In this paper we propose a service-oriented, semantic-supported approach to the development of a platform for sharing and reuse of resources (data processing and mining techniques), enabling the management of different implementations of the same technique and characterized by a community-centered attitude, with functionalities for both resource production and consumption, facilitating end-users with different skills as well as resource providers with different technical and domain specific capabilities. We first describe the semantic framework underlying the approach, then we demonstrate how this framework is exploited to give different functionalities to users through the presentation of the platform functionalities.

Suggested Citation

  • Claudia Diamantini & Domenico Potena & Emanuele Storti, 2013. "A virtual mart for knowledge discovery in databases," Information Systems Frontiers, Springer, vol. 15(3), pages 447-463, July.
    • Handle: RePEc:spr:infosf:v:15:y:2013:i:3:d:10.1007_s10796-012-9399-0
    DOI: 10.1007/s10796-012-9399-0
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    References listed on IDEAS

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    1. Dunlu Peng & Xiaoling Wang & Aoying Zhou, 2007. "VsLattice: A vector-based conceptual index structure for web service retrieval," Information Systems Frontiers, Springer, vol. 9(4), pages 423-437, September.
    2. Janice Glasgow & Igor Jurisica, 2006. "Introduction: Knowledge Discovery in High-Throughput Biological Domains," Information Systems Frontiers, Springer, vol. 8(1), pages 5-7, February.
    3. Been-Chian Chien & Chih-Hung Hu & Ming-Yi Ju, 2009. "Learning fuzzy concept hierarchy and measurement with node labeling," Information Systems Frontiers, Springer, vol. 11(5), pages 551-559, November.
    4. David Bell & Sergio Cesare & Nicola Iacovelli & Mark Lycett & Antonio Merico, 2007. "A framework for deriving semantic web services," Information Systems Frontiers, Springer, vol. 9(1), pages 69-84, March.
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    Cited by:

    1. Malu Castellanos & Florian Daniel & Irene Garrigós & Jose-Norberto Mazón, 2013. "Business Intelligence and the Web," Information Systems Frontiers, Springer, vol. 15(3), pages 307-309, July.
    2. Yan Li & Manoj A. Thomas & Kweku-Muata Osei-Bryson, 2017. "Ontology-based data mining model management for self-service knowledge discovery," Information Systems Frontiers, Springer, vol. 19(4), pages 925-943, August.
    3. Rajat Kumar Behera & Pradip Kumar Bala & Nripendra P. Rana & Hatice Kizgin, 2022. "A Techno-Business Platform to Improve Customer Experience Following the Brand Crisis Recovery: A B2B Perspective," Information Systems Frontiers, Springer, vol. 24(6), pages 2027-2051, December.
    4. Yan Li & Manoj A. Thomas & Kweku-Muata Osei-Bryson, 0. "Ontology-based data mining model management for self-service knowledge discovery," Information Systems Frontiers, Springer, vol. 0, pages 1-19.
    5. Adolfo Crespo Márquez & Antonio de la Fuente Carmona & Sara Antomarioni, 2019. "A Process to Implement an Artificial Neural Network and Association Rules Techniques to Improve Asset Performance and Energy Efficiency," Energies, MDPI, vol. 12(18), pages 1-25, September.

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