LOD-GF: An Integral Linked Open Data Generation Framework

Víctor Saquicela*, José Segarra, José Ortiz, Andrés Tello, Mauricio Espinoza, Lucía Lupercio, Boris Villazón-Terrazas

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationInformation and Communication Technologies of Ecuador (TIC.EC)
EditorsMiguel Botto-Tobar, Lida Barba-Maggi, Patricio Villacrés-Cevallos, María I. Uvidia-Fassler, Javier González-Huerta, Omar S. Gómez
PublisherSpringer Verlag
Pages283-300
Number of pages18
ISBN (Print)9783030028275
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event6th Conference on Information Technologies and Communication of Ecuador, TIC-EC 2018 - Riobamba, Ecuador
Duration: 21-Nov-201823-Nov-2018

Publication series

NameAdvances in Intelligent Systems and Computing
Volume884
ISSN (Print)2194-5357

Conference

Conference6th Conference on Information Technologies and Communication of Ecuador, TIC-EC 2018
Country/TerritoryEcuador
CityRiobamba
Period21/11/201823/11/2018

Keywords

  • Data integration
  • Framework
  • Linked Data
  • LOD life cycle
  • Methodological guidelines

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