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EB

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Grant support

This work is supported by the DRUGS4COVID++ project, funded by Ayudas Fundacion BBVA a equipos de investigacion cientifica SARS-CoV-2 y COVID-19. The work is also supported by "Data-driven drug repositioning applying graph neural networks (3DR-GNN)" under grant "PID2021-122659OB-I00" from the Spanish Ministerio de Ciencia, Innovacion y Universidades. LPS's work is supported by "Programa de fomento de la investigacion y la innovacion (Doctorados Industriales)" from Comunidad de Madrid (grant "IND2019/TIC-17159").

Analysis of institutional authors

Alvarez Perez, AndreaAuthorIglesias-Molina, AnaAuthorPrieto Santamaria, LuciaAuthorPoveda-Villalon, MariaAuthorBadenes-Olmedo, CarlosAuthorRodriguez-Gonzalez, AlejandroCorresponding Author

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Proceedings Paper

EBOCA: Evidences for BiOmedical Concepts Association Ontology

Publicated to:Lecture Notes In Computer Science. 13514 152-166 - 2022-01-01 13514(), DOI: 10.1007/978-3-031-17105-5_11

Authors: Alvarez Perez, Andrea; Iglesias-Molina, Ana; Prieto Santamaria, Lucia; Poveda-Villalon, Maria; Badenes-Olmedo, Carlos; Rodriguez-Gonzalez, Alejandro

Affiliations

Abstract

There is a large number of online documents data sources available nowadays. The lack of structure and the differences between formats are the main difficulties to automatically extract information from them, which also has a negative impact on its use and reuse. In the biomedical domain, the DISNET platform emerged to provide researchers with a resource to obtain information in the scope of human disease networks by means of large-scale heterogeneous sources. Specifically in this domain, it is critical to offer not only the information extracted from different sources, but also the evidence that supports it. This paper proposes EBOCA, an ontology that describes (i) biomedical domain concepts and associations between them, and (ii) evidences supporting these associations; with the objective of providing an schema to improve the publication and description of evidences and biomedical associations in this domain. The ontology has been successfully evaluated to ensure there are no errors, modelling pitfalls and that it meets the previously defined functional requirements. Test data coming from a subset of DISNET and automatic association extractions from texts has been transformed according to the proposed ontology to create a Knowledge Graph that can be used in real scenarios, and which has also been used for the evaluation of the presented ontology.

Keywords

Biomedical domainBiomedicineData-sourceEvidenceEvidencesExtract informationsHuman diseaseKnowledge graphOn-line documentsOntologyOntology'sProvenanceReuseSemanticSemantics

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 1.57, 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: Dimensions Jun 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-06-03, the following number of citations:

  • WoS: 2
  • Scopus: 3
  • OpenCitations: 1

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 2025-06-03:

  • 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: 2 (PlumX).

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 (ALVAREZ PEREZ, ANDREA) and Last Author (RODRIGUEZ GONZALEZ, ALEJANDRO).

the author responsible for correspondence tasks has been RODRIGUEZ GONZALEZ, ALEJANDRO.