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Coming to Terms with FAIR Ontologies

Published: 16 September 2020 Publication History

Abstract

Ontologies are widely used nowadays for many different purposes and in many different contexts, like industry and research, and in domains ranging from geosciences, biology, chemistry or medicine. When used for research, ontologies should be treated as other research artefacts, such as data, software, methods, etc.; following the same principles used to make them findable, accessible, interoperable and reusable (FAIR) to others. However, in comparison to the number of guides, indicators and recommendations available for making research data FAIR, not much attention has been paid so far on how to publish ontologies following the FAIR principles. This position paper reviews the technical and social needs required to define a roadmap for generating and publishing FAIR ontologies on the Web. We analyze four initiatives for ontology publication, aligning them in a common framework for comparison. The paper concludes by opening a discussion about existing, ongoing and required initiatives and instruments to facilitate FAIR ontology sharing on the Web.

References

[1]
Baker T, Vandenbussche PY, and Vatant B Requirements for vocabulary preservation and governance Library Hi Tech 2013 31 4 657-668
[2]
Bechhofer, S., Miles, A.: SKOS simple knowledge organization system reference. W3C recommendation, W3C (2009)
[3]
Bechhofer, S., et al.: OWL web ontology language reference. W3C recommendation 10(02) (2004)
[4]
Bizer, C., Heath, T., Berners-Lee, T.: Linked data: the story so far. In: Semantic Services, Interoperability and Web Applications: Emerging Concepts, pp. 205–227. IGI Global (2011)
[5]
Borgo S and Masolo C Staab S and Studer R Foundational choices in DOLCE Handbook on Ontologies 2009 Heidelberg Springer 361-381
[6]
Brickley, D., Guha, R.V., McBride, B.: RDF Schema 1.1. W3C recommendation 25 (2014)
[7]
Collins, S., et al.: Turning FAIR into reality: final report and action plan from the European Commission expert group on FAIR data (2018). 10.2777/54599
[9]
Côté RG, Jones P, Apweiler R, and Hermjakob H The Ontology Lookup Service, a lightweight cross-platform tool for controlled vocabulary queries BMC Bioinform. 2006 7 1 97
[10]
Garijo, D.: WIDOCO: a wizard for documenting ontologies. In: d’Amato, C., et al. (eds.) ISWC 2017. LNCS, vol. 10588, pp. 94–102. Springer, Cham (2017). 10.1007/978-3-319-68204-4_9
[11]
Garijo, D., Poveda-Villalón, M.: Best practices for implementing FAIR vocabularies and ontologies on the Web, March 2020. https://arxiv.org/abs/2003.13084
[12]
Group, F.D.M.M.W.: FAIR Data Maturity Model: specification and guidelines, April 2020. https://doi.org/10.15497/RDA00045
[13]
Guha, R.V., Brickley, D., Macbeth, S.: Schema.org: evolution of structured data on the web. Commun. ACM 59(2), 44–51 (2016)
[14]
Guizzardi, G.: Ontological foundations for structural conceptual models (2005)
[15]
Guizzardi G and Wagner G Bresciani P, Giorgini P, Henderson-Sellers B, Low G, and Winikoff M Towards ontological foundations for agent modelling concepts using the unified fundational ontology (UFO) Agent-Oriented Information Systems II 2005 Heidelberg Springer 110-124
[16]
Hartmann, J., Sure, Y., Haase, P., Palma, R., Suarez-Figueroa, M.: OMV-ontology metadata vocabulary. In: ISWC, vol. 3729 (2005)
[17]
Hasnain A, Rebholz-Schuhmann D, et al. Gangemi A et al. Assessing FAIR data principles against the 5-star open data principles The Semantic Web: ESWC 2018 Satellite Events 2018 Cham Springer 469-477
[18]
Heath, T., Bizer, C.: Linked data: evolving the web into a global data space. Synth. Lect. Semantic Web: Theory Technol. 1(1), 1–136 (2011)
[19]
Hitzler, P., et al.: OWL 2 web ontology language primer. W3C Recommendation 27(1), 123 (2009)
[20]
Jacobsen A et al. FAIR principles: interpretations and implementation considerations Data Intell. 2020 2 1–2 10-29
[21]
Janowicz K et al. Five stars of linked data vocabulary use Semantic Web 2014 5 3 173-176
[22]
Jonquet C et al. Agroportal: a vocabulary and ontology repository for agronomy Comput. Electron. Agric. 2018 144 126-143
[23]
Knublauch, H., Kontokostas, D.: Shapes constraint language (SHACL). World Wide Web Consortium recommendation (2017)
[24]
Le Franc, Y., Parland-von Essen, J., Bonino, L., Lehväslaiho, H., Coen, G., Staiger, C.: D2.2 FAIR semantics: first recommendations, March 2020. 10.5281/zenodo.3707985
[25]
Lebo, T., et al.: Prov-o: The prov ontology. W3C recommendation (2013)
[26]
Lehväslaiho, et al.: D2.1 Report on FAIR requirements for persistence and interoperability 2019, November 2019. 10.5281/zenodo.3557381
[27]
McGuinness, D.L.: Ontologies come of age. In: Spinning the Semantic Web: Bringing the World Wide Web to Its Full Potential, pp. 171–194. MIT Press, Cambridge (2002)
[28]
Palma R and Haase P Gil Y, Motta E, Benjamins VR, and Musen MA Oyster – sharing and re-using ontologies in a peer-to-peer community The Semantic Web – ISWC 2005 2005 Heidelberg Springer 1059-1062
[29]
Poveda-Villalón, M., García-Castro, R., Gómez-Pérez, A.: Building an ontology catalogue for smart cities. In: Proceedings of the 10th European Conference on Product and Process Modelling, ECPPM 2014, pp. 1–8 (2014)
[30]
Sporny, M., Longley, D., Kellogg, G., Lanthaler, M., Lindström, N.: JSON-LD 1.0: a JSON-based serialization for linked data. World Wide Web Consortium recommendation (2014)
[31]
Steidl, M., Iannella, R., Myles, S., Rodríguez-Doncel, V.: ODRL vocabulary & expression 2.2. W3C recommendation, W3C, February 2018
[32]
Vandenbussche PY, Atemezing GA, Poveda-Villalón M, and Vatant B Linked open vocabularies (LOV): a gateway to reusable semantic vocabularies on the Web Semantic Web 2017 8 3 437-452
[33]
Verborgh, R.: Re-decentralizing the Web, for good this time. In: Seneviratne, O., Hendler, J. (eds.) Linking the World’s Information: Tim Berners-Lee’s Invention of the World Wide Web. ACM (2020). https://ruben.verborgh.org/articles/redecentralizing-the-web/
[34]
Whetzel, P.L., et al.: Bioportal: enhanced functionality via new web services from the National Center for Biomedical Ontology to access and use ontologies in software applications. Nucleic Acids Res. 39(Suppl\_2), W541–W545 (2011)
[35]
Wilkinson, M.D., et al.: The FAIR Guiding Principles for scientific data management and stewardship. Sci. Data 3 (2016)
[36]
Wilkinson MD et al. Evaluating FAIR maturity through a scalable, automated, community-governed framework Sci. Data 2019 6 1 1-12
[37]
Xiang, Z., Mungall, C., Ruttenberg, A., He, Y.: Ontobee: a linked data server and browser for ontology terms. In: ICBO (2011)

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  • (2023)To Be High-Risk, or Not To Be—Semantic Specifications and Implications of the AI Act’s High-Risk AI Applications and Harmonised StandardsProceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency10.1145/3593013.3594050(905-915)Online publication date: 12-Jun-2023
  • (2023)CEM: an Ontology for Crime Events in Newspaper ArticlesProceedings of the 38th ACM/SIGAPP Symposium on Applied Computing10.1145/3555776.3577862(1762-1765)Online publication date: 27-Mar-2023
  • (2022)A FAIR Core Semantic Metadata Model for FAIR Multidimensional Tabular DatasetsKnowledge Engineering and Knowledge Management10.1007/978-3-031-17105-5_13(174-181)Online publication date: 26-Sep-2022
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cover image Guide Proceedings
Knowledge Engineering and Knowledge Management: 22nd International Conference, EKAW 2020, Bolzano, Italy, September 16–20, 2020, Proceedings
Sep 2020
293 pages
ISBN:978-3-030-61243-6
DOI:10.1007/978-3-030-61244-3
  • Editors:
  • C. Maria Keet,
  • Michel Dumontier

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 16 September 2020

Author Tags

  1. FAIR principles
  2. Ontologies
  3. Semantics

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View all
  • (2023)To Be High-Risk, or Not To Be—Semantic Specifications and Implications of the AI Act’s High-Risk AI Applications and Harmonised StandardsProceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency10.1145/3593013.3594050(905-915)Online publication date: 12-Jun-2023
  • (2023)CEM: an Ontology for Crime Events in Newspaper ArticlesProceedings of the 38th ACM/SIGAPP Symposium on Applied Computing10.1145/3555776.3577862(1762-1765)Online publication date: 27-Mar-2023
  • (2022)A FAIR Core Semantic Metadata Model for FAIR Multidimensional Tabular DatasetsKnowledge Engineering and Knowledge Management10.1007/978-3-031-17105-5_13(174-181)Online publication date: 26-Sep-2022
  • (2022)FAIROs: Towards FAIR Assessment in Research ObjectsLinking Theory and Practice of Digital Libraries10.1007/978-3-031-16802-4_6(68-80)Online publication date: 20-Sep-2022
  • (2022)An Ontology to Support Automatic Drug Dose TitrationArtificial Intelligence in Medicine10.1007/978-3-031-09342-5_4(35-46)Online publication date: 14-Jun-2022
  • (2021)A High-Level Ontology Network for ICT InfrastructuresThe Semantic Web – ISWC 202110.1007/978-3-030-88361-4_26(446-462)Online publication date: 24-Oct-2021

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