LOD-GF: An Integral Linked Open Data Generation Framework

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

doi:10.1007/978-3-030-02828-2_21

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 proceeding › Conference contribution › Academic › peer-review

4 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 language	English
Title of host publication	Information and Communication Technologies of Ecuador (TIC.EC)
Editors	Miguel Botto-Tobar, Lida Barba-Maggi, Patricio Villacrés-Cevallos, María I. Uvidia-Fassler, Javier González-Huerta, Omar S. Gómez
Publisher	Springer Verlag
Pages	283-300
Number of pages	18
ISBN (Print)	9783030028275
DOIs	https://doi.org/10.1007/978-3-030-02828-2_21
Publication status	Published - 2019
Externally published	Yes
Event	6th Conference on Information Technologies and Communication of Ecuador, TIC-EC 2018 - Riobamba, Ecuador Duration: 21-Nov-2018 → 23-Nov-2018

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	884
ISSN (Print)	2194-5357

Conference

Conference	6th Conference on Information Technologies and Communication of Ecuador, TIC-EC 2018
Country/Territory	Ecuador
City	Riobamba
Period	21/11/2018 → 23/11/2018

Keywords

Data integration
Framework
Linked Data
LOD life cycle
Methodological guidelines

Access to Document

10.1007/978-3-030-02828-2_21

Handle.net

Persistent link

Cite this

Saquicela, V., Segarra, J., Ortiz, J., Tello, A., Espinoza, M., Lupercio, L., & Villazón-Terrazas, B. (2019). LOD-GF: An Integral Linked Open Data Generation Framework. In M. Botto-Tobar, L. Barba-Maggi, P. Villacrés-Cevallos, M. I. Uvidia-Fassler, J. González-Huerta, & O. S. Gómez (Eds.), Information and Communication Technologies of Ecuador (TIC.EC) (pp. 283-300). (Advances in Intelligent Systems and Computing; Vol. 884). Springer Verlag. https://doi.org/10.1007/978-3-030-02828-2_21

Saquicela, Víctor ; Segarra, José ; Ortiz, José et al. / LOD-GF : An Integral Linked Open Data Generation Framework. Information and Communication Technologies of Ecuador (TIC.EC). editor / Miguel Botto-Tobar ; Lida Barba-Maggi ; Patricio Villacrés-Cevallos ; María I. Uvidia-Fassler ; Javier González-Huerta ; Omar S. Gómez. Springer Verlag, 2019. pp. 283-300 (Advances in Intelligent Systems and Computing).

@inproceedings{e7a4bcbbb0b344e491f4df490ab37b46,

title = "LOD-GF: An Integral Linked Open Data Generation Framework",

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.",

keywords = "Data integration, Framework, Linked Data, LOD life cycle, Methodological guidelines",

author = "V{\'i}ctor Saquicela and Jos{\'e} Segarra and Jos{\'e} Ortiz and Andr{\'e}s Tello and Mauricio Espinoza and Luc{\'i}a Lupercio and Boris Villaz{\'o}n-Terrazas",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; 6th Conference on Information Technologies and Communication of Ecuador, TIC-EC 2018 ; Conference date: 21-11-2018 Through 23-11-2018",

year = "2019",

doi = "10.1007/978-3-030-02828-2_21",

language = "English",

isbn = "9783030028275",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "283--300",

editor = "Miguel Botto-Tobar and Lida Barba-Maggi and Patricio Villacr{\'e}s-Cevallos and Uvidia-Fassler, {Mar{\'i}a I.} and Javier Gonz{\'a}lez-Huerta and {S. G{\'o}mez}, Omar",

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}

Saquicela, V, Segarra, J, Ortiz, J, Tello, A, Espinoza, M, Lupercio, L & Villazón-Terrazas, B 2019, LOD-GF: An Integral Linked Open Data Generation Framework. in M Botto-Tobar, L Barba-Maggi, P Villacrés-Cevallos, MI Uvidia-Fassler, J González-Huerta & O S. Gómez (eds), Information and Communication Technologies of Ecuador (TIC.EC). Advances in Intelligent Systems and Computing, vol. 884, Springer Verlag, pp. 283-300, 6th Conference on Information Technologies and Communication of Ecuador, TIC-EC 2018, Riobamba, Ecuador, 21/11/2018. https://doi.org/10.1007/978-3-030-02828-2_21

LOD-GF: An Integral Linked Open Data Generation Framework. / Saquicela, Víctor; Segarra, José; Ortiz, José et al.
Information and Communication Technologies of Ecuador (TIC.EC). ed. / Miguel Botto-Tobar; Lida Barba-Maggi; Patricio Villacrés-Cevallos; María I. Uvidia-Fassler; Javier González-Huerta; Omar S. Gómez. Springer Verlag, 2019. p. 283-300 (Advances in Intelligent Systems and Computing; Vol. 884).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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

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 - Linked Data

KW - LOD life cycle

KW - Methodological guidelines

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U2 - 10.1007/978-3-030-02828-2_21

DO - 10.1007/978-3-030-02828-2_21

M3 - Conference contribution

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 -

Saquicela V, Segarra J, Ortiz J, Tello A, Espinoza M, Lupercio L et al. LOD-GF: An Integral Linked Open Data Generation Framework. In Botto-Tobar M, Barba-Maggi L, Villacrés-Cevallos P, Uvidia-Fassler MI, González-Huerta J, S. Gómez O, editors, Information and Communication Technologies of Ecuador (TIC.EC). Springer Verlag. 2019. p. 283-300. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-02828-2_21

LOD-GF: An Integral Linked Open Data Generation Framework

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