Knowledge Spring Process

Roberto Espinosa; Larisa Garriga; Jose Jacobo Zubcoff; Jose-Norberto Mazon

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Paper

Knowledge Spring Process

Topics: Datamining; Decision Support Systems; Open Data

In Proceedings of 3rd International Conference on Data Management Technologies and Applications DATA - Volume 1, 291-296, 2014 , Vienna, Austria

Authors: Roberto Espinosa ¹ ; Larisa Garriga ¹ ; Jose Jacobo Zubcoff ² and Jose-Norberto Mazon ²

Affiliations: ¹ University of Matanzas “Camilo Cienfuegos”, Cuba ; ² University of Alicante, Spain

Keyword(s): Linked Open Data, Knowledge Discovery, Data Mining, Metamodeling, Model Driven Development.

Abstract: Data is everywhere, and non-expert users must be able to exploit it in order to extract knowledge, get insights and make well-informed decisions. The value of the discovered knowledge could be of greater value if it is available for later consumption and reusing. In this paper, we present the first version of the Knowledge Spring Process, an infrastructure that allows non-expert users to (i) apply user-friendly data mining techniques on open data sources, and (ii) share results as Linked Open Data (LOD). The main contribution of this paper is the concept of reusing the knowledge gained from data mining processes after being semantically annotated as LOD, then obtaining Linked Open Knowledge. Our Knowledge Spring Process is based on a model-driven viewpoint in order to easier deal with the wide diversity of open data formats.

CC BY-NC-ND 4.0

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Paper citation in several formats:

Espinosa, R.; Garriga, L.; Jacobo Zubcoff, J. and Mazon, J. (2014). Knowledge Spring Process. In Proceedings of 3rd International Conference on Data Management Technologies and Applications - DATA; ISBN 978-989-758-035-2; ISSN 2184-285X, SciTePress, pages 291-296. DOI: 10.5220/0005111102910296

@conference{data14,
author={Roberto Espinosa. and Larisa Garriga. and Jose {Jacobo Zubcoff}. and Jose{-}Norberto Mazon.},
title={Knowledge Spring Process},
booktitle={Proceedings of 3rd International Conference on Data Management Technologies and Applications - DATA},
year={2014},
pages={291-296},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005111102910296},
isbn={978-989-758-035-2},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of 3rd International Conference on Data Management Technologies and Applications - DATA
TI - Knowledge Spring Process
SN - 978-989-758-035-2
IS - 2184-285X
AU - Espinosa, R.
AU - Garriga, L.
AU - Jacobo Zubcoff, J.
AU - Mazon, J.
PY - 2014
SP - 291
EP - 296
DO - 10.5220/0005111102910296
PB - SciTePress