Knowledge Spring Process

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

2014

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.

Paper Citation

in Harvard Style

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 - Volume 1: DATA, ISBN 978-989-758-035-2, pages 291-296. DOI: 10.5220/0005111102910296

in Bibtex Style

@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 - Volume 1: DATA,},
year={2014},
pages={291-296},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005111102910296},
isbn={978-989-758-035-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - Knowledge Spring Process
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