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Authors: Roberto Espinosa and Larisa Garriga

Affiliation: University of Matanzas “Camilo Cienfuegos”, Cuba

ISBN: 978-989-758-035-2

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

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Cardiovascular Technologies ; Computing and Telecommunications in Cardiology ; Data Engineering ; Data Management and Quality ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Health Information Systems ; Knowledge-Based Systems ; Open Data ; Sensor Networks ; Signal Processing ; Soft Computing ; Symbolic Systems

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.

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Paper citation in several formats:
Espinosa, R.; Garriga, L.; Jacobo Zubcoff, J. and Mazon, J. (2014). Knowledge Spring Process - Towards Discovering and Reusing Knowledge within Linked Open Data Foundations.In Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA, ISBN 978-989-758-035-2, 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 - Towards Discovering and Reusing Knowledge within Linked Open Data Foundations},
booktitle={Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA,},
year={2014},
pages={291-296},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005111102910296},
isbn={978-989-758-035-2},
}

TY - CONF

JO - Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - Knowledge Spring Process - Towards Discovering and Reusing Knowledge within Linked Open Data Foundations
SN - 978-989-758-035-2
AU - Espinosa, R.
AU - Garriga, L.
AU - Jacobo Zubcoff, J.
AU - Mazon, J.
PY - 2014
SP - 291
EP - 296
DO - 10.5220/0005111102910296

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