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Impact on the Sustainable Development Goals (SDGs)

Analysis of institutional authors

Vilches-Blázquez LCorresponding AuthorCorcho OAuthorGómez-Pérez AAuthor

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October 17, 2018
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Integrating geographical information in the Linked Digital Earth

Publicated to: International Journal of Digital Earth. 7 (7): 554-575 - 2014-01-01 7(7), DOI: 10.1080/17538947.2013.783127

Authors:

Vilches-Blázquez, LM; Villazón-Terrazas, B; Corcho, O; Gómez-Pérez, A
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Affiliations

Univ Politecn Madrid, Fac Informat, Dept Inteligencia Artificial, Ontol Engn Grp - Author
Universidad Politécnica de Madrid - Author

Abstract

Many progresses have been made since the Digital Earth notion was envisioned thirteen years ago. However, the mechanism for integrating geographic information into the Digital Earth is still quite limited. In this context, we have developed a process to generate, integrate and publish geospatial Linked Data from several Spanish National data-sets. These data-sets are related to four Infrastructure for Spatial Information in the European Community (INSPIRE) themes, specifically with Administrative units, Hydrography, Statistical units, and Meteorology. Our main goal is to combine different sources (heterogeneous, multidisciplinary, multitemporal, multiresolution, and multilingual) using Linked Data principles. This goal allows the overcoming of current problems of information integration and driving geographical information toward the next decade scenario, that is, 'Linked Digital Earth.'. © 2013 © 2013 Taylor & Francis.
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Keywords

Digital earthGeographical informationIndustry, innovation and infrastructureIntegrationLinked data

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal International Journal of Digital Earth due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2014, it was in position 7/46, thus managing to position itself as a Q1 (Primer Cuartil), in the category Geography, Physical.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations from Scopus Elsevier, it yields a value for the Field-Weighted Citation Impact from the Scopus agency: 1.07, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 13, 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2026-04-24, the following number of citations:

  • WoS: 27
  • Scopus: 36
  • Google Scholar: 56
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-24:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 38.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 38 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/26712/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 542
  • Downloads: 462
Continuing with the social impact of the work, it is important to emphasize that, due to its content, it can be assigned to the area of interest of ODS 9 - Industry, innovation and infrastructure, with a probability of 61% according to the mBERT algorithm developed by Aurora University.
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (VILCHES BLAZQUEZ, LUIS MANUEL) and Last Author (GOMEZ PEREZ, ASUNCION DE MARIA).

the author responsible for correspondence tasks has been VILCHES BLAZQUEZ, LUIS MANUEL.

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Project objectives

La aportación persigue los siguientes objetivos: analizar los mecanismos actuales para integrar información geográfica en el concepto de Digital Earth; desarrollar un proceso para generar, integrar y publicar datos geoespaciales enlazados a partir de varios conjuntos de datos nacionales españoles; combinar fuentes heterogéneas, multidisciplinarias, multitemporales, multirresolución y multilingües mediante principios de Linked Data; superar los problemas existentes en la integración de información geográfica; y promover la evolución de la información geográfica hacia el escenario futuro denominado 'Linked Digital Earth'.
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Most relevant results

El estudio presenta avances significativos en la integración de información geográfica en el concepto de Digital Earth. Se desarrolló un proceso para generar, integrar y publicar datos geoespaciales enlazados a partir de varios conjuntos de datos nacionales españoles. Estos conjuntos de datos abarcan cuatro temas INSPIRE: unidades administrativas, hidrografía, unidades estadísticas y meteorología. Se logró combinar fuentes heterogéneas, multidisciplinarias, multitemporales, multiresolución y multilingües utilizando principios de Linked Data. Este enfoque permite superar las limitaciones actuales en la integración de información geográfica y orienta el desarrollo hacia un escenario de "Linked Digital Earth" para la próxima década.
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