TY - GEN
T1 - LOD-GF
T2 - 6th Conference on Information Technologies and Communication of Ecuador, TIC-EC 2018
AU - Saquicela, Víctor
AU - Segarra, José
AU - Ortiz, José
AU - Tello, Andrés
AU - Espinoza, Mauricio
AU - Lupercio, Lucía
AU - Villazón-Terrazas, Boris
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - Linked Open Data (LOD) generation is a common activity within organizations due to its advantages for sharing and reusing information. Since these technologies require specialized knowledge, the development of technological and methodological tools that allows its implementation is limited. Most of the current solutions are built on top of specific tools which require considerable effort to consolidate into an integral solution. Moreover, those tools work on specific domains, or they do not support some of the phases required for LOD life cycle (e.g., data cleaning, data exploitation). In this paper, we present a framework for LOD management which follows methodological principles presented in the state of the art in scientific literature and provides an unified software tool for publishing LOD for multiple domains and technologies. Our platform leverages a modular ETL processor, allowing a transparent and flexible integration, providing an integral environment for LOD. This framework was tested, successfully, using data sources from different domains, e.g., digital repositories, libraries.
AB - Linked Open Data (LOD) generation is a common activity within organizations due to its advantages for sharing and reusing information. Since these technologies require specialized knowledge, the development of technological and methodological tools that allows its implementation is limited. Most of the current solutions are built on top of specific tools which require considerable effort to consolidate into an integral solution. Moreover, those tools work on specific domains, or they do not support some of the phases required for LOD life cycle (e.g., data cleaning, data exploitation). In this paper, we present a framework for LOD management which follows methodological principles presented in the state of the art in scientific literature and provides an unified software tool for publishing LOD for multiple domains and technologies. Our platform leverages a modular ETL processor, allowing a transparent and flexible integration, providing an integral environment for LOD. This framework was tested, successfully, using data sources from different domains, e.g., digital repositories, libraries.
KW - Data integration
KW - Framework
KW - LOD life cycle
KW - Linked Data
KW - Methodological guidelines
UR - https://www.scopus.com/pages/publications/85055662712
U2 - 10.1007/978-3-030-02828-2_21
DO - 10.1007/978-3-030-02828-2_21
M3 - Contribución a la conferencia
AN - SCOPUS:85055662712
SN - 9783030028275
T3 - Advances in Intelligent Systems and Computing
SP - 283
EP - 300
BT - Information and Communication Technologies of Ecuador (TIC.EC)
A2 - Botto-Tobar, Miguel
A2 - Barba-Maggi, Lida
A2 - Villacrés-Cevallos, Patricio
A2 - Uvidia-Fassler, María I.
A2 - González-Huerta, Javier
A2 - S. Gómez, Omar
PB - Springer Verlag
Y2 - 21 November 2018 through 23 November 2018
ER -