Empowering end users in the development of terminological ontologies to further sustainable digital solutions
Keywords:
user-centred approach, domain-specific terminology, terminological ontologies, dual-mode visualizationsAbstract
This article explores an innovative approach to developing terminological ontologies by actively involving end users. The study outlines the methodology, presents results from a pilot study, and discusses the implications for promoting data-driven cultures and sustainable digital solutions. In particular, we propose an inclusive user-centred approach to building terminological ontologies, which may serve as a semantic layer of a data catalogue. A pilot study is presented, in which participants were given a sequence of three simple tasks conducted in a (non-invasive) controlled experimental setting uncovering conceptualizations in a natural business context. The pilot study shows that within a short time frame, it is possible for participants to produce relevant domain-specific terminology which may start the subsequent drafting of a terminological ontology. Moreover, effective dual-mode visualizations of terminological ontologies combining textual and graphical formats may enable end users in the further expansion and quality assurance of ontologies.
References
Chongtay, R., Last, M., Verbeke, M., & Berendt, B. (2013). Summarize to learn: summarization and visualization of text for ubiquitous learning. In Proceedings of the 3rd IEEE Workshop on Interactive Visual Text Analytics at VIS 2013, The 3rd IEEE Workshop on Interactive Visual Text Analytics, Atlanta, GA (pp. 1-4).
Bork, D., David, I., España, S., Guizzardi, G., Proper, H. A., & Reinhartz-Berger, I. (2024). The role of modeling in the analysis and design of sustainable systems: A Panel Report. Communications of the Association for Information Systems (CAIS). https://www.researchgate.net/publication/379035620_The_Role_of_Modeling_in_the_Analysis_and_Design_of_Sustainable_Systems_A_Panel_Report
Bowker, L. (2022). Multidimensionality. In P. Faber & M.-C. L’Homme (Eds.), Theoretical Perspectives on Terminology: Explaining terms, concepts and specialized knowledge (Chapter 6). John Benjamins Publishing. https://benjamins.com/catalog/tlrp.23.06bow
Cabré, M. T. (1999). Terminology: Theory, Methods, and Applications. John Benjamins Publishing. https://benjamins.com/catalog/tlrp.1
Cabré, M. T. (2003). Theories of terminology: Their description, prescription and explanation. Terminology, 9(2), 163-199. https://doi.org/10.1075/term.9.2.03cab
Christensen, L. L. W., & Madsen, B. N. (2023). Terminology as a Strategic Support Tool in Crisis Situations such as the COVID-19 Pandemic. Terminology science and research - Journal of the International Institute of Terminology Research, 26, 1-23. https://journal-eaft-aet.net/index.php/tsr/article/view/3467
De Nicola, A., & Missikoff, M. (2016). A Lightweight Methodology for Rapid Ontology Engineering. Commununications of the ACM. 59, 79–86. https://doi.org/10.1145/2818359
Ehrlinger, L., Schrott, J., Melichar, M., Kirchmayr, N., & Wöß, W. (2021). Data catalogs: a systematic literature review and guidelines to implementation. In Database and Expert Systems Applications-DEXA 2021 Workshops: BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021, Virtual Event, September 27–30, 2021, Proceedings 32 (pp. 148-158). Springer International Publishing. https://link.springer.com/chapter/10.1007/978-3-030-87101-7_15
Esposito, A., Calvano, M., Curci, A., Desolda, G., Lanzilotti, R., Lorusso, C., & Piccinno, A. (2023, May). End-User Development for Artificial Intelligence: A Systematic Literature Review. In International Symposium on End User Development, 19-34. Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-34433-6_2
Gruber, T. R. (1993). A translation approach to portable ontology specifications. Knowledge acquisition, 5(2), 199-220. https://doi.org/10.1006/knac.1993.1008
ISO/IEC 11179-4:2004 Information technology Metadata registries (MDR) Part 4: Formulation of data definitions.
ISO (2019). Terminology Work - Vocabulary. Part 1: Theory and application (1087-1). Geneva.
ISO (2022). Terminology work - Principles and methods (704). Geneva.
Hjorland, B. & Gnoli, C. (2022). ISKO Encyclopedia of Knowledge Organization. https://www.isko.org/cyclo/terminology
Kremser, W., & Brunauer, R. (2019). Do we have a Data Culture?. In Data Science–Analytics and Applications: Proceedings of the 2nd International Data Science Conference–iDSC2019 (pp. 83-87). Springer Fachmedien Wiesbaden. https://link.springer.com/chapter/10.1007/978-3-658-27495-5_11
Madsen, B. N., & Thomsen, H. E. (2009). Terminological concept modelling and conceptual data modelling. International Journal of Metadata, Semantics and Ontologies, 4(4), 239-249. https://www.inderscienceonline.com/doi/abs/10.1504/IJMSO.2009.029228
Madsen, B. N., Thomsen, H. E., Halskov, J. & Lassen, T. (2010). Automatic Ontology Construction for a National Term Bank. In Terminology and Knowledge Engineering Conference 2010, pp. 502-533. https://research-api.cbs.dk/ws/portalfiles/portal/58916334/TKE_2010_HET_BNM_JH_TL.pdf
Munappy, A. R., Bosch, J. & Olsson, H. H. (2020). Data pipeline management in practice: Challenges and opportunities. In Product-Focused Software Process Improvement: 21st International Conference, PROFES 2020, Turin, Italy, November 25–27, 2020, Proceedings 21 (pp. 168-184). Springer International Publishing. https://link.springer.com/chapter/ 10.1007/978-3-030-64148-1_11
Nielsen, L. P. (2015). Knowledge Dissemination Based on Terminological Ontologies: Using Eye Tracking to Further User Interface Design. Copenhagen Business School [Phd]. https://research.cbs.dk/en/publications/knowledge-dissemination-based-on-terminological-ontologies-using-
Nielsen, L. P. (2016). Target Users’ Diagrammatic Reasoning of Domain-Specific Terminology. TERM BASES AND LINGUISTIC LINKED OPEN DATA, 224. https://research.cbs.dk/da/publications/target-users-diagrammatic-reasoning-of-domain-specific-terminolog
Nilsson, H. (2023): Begrepp om begrepp. Article published on The Swedish Association for Terminology (Terminologifrämjandet in Swedish). https://terminologiframjandet.se/h552a9FtZ/2023/10/27/begrepp-om-begrepp/
Sanctorum, A., Riggio, J., Maushagen, J., Sepehri, S., Arnesdotter, E., Delagrange, M., De Kock, J., Vanhaecke, T., Debruyne, C., & De Troyer, O. (2022). End-user engineering of ontology-based knowledge bases. Behaviour & Information Technology, 41(9), 1811-1829. https://researchportal.vub.be/en/publications/end-user-engineering-of-ontology-based-knowledge-bases
Seiner, R. S. (2014). Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success. Technics Publications
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Louise Pram Nielsen
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
TSR is committed to Creative Commons Attribution Non-Commercial Licence (CC BY-NC). This licence permits users to use, reproduce, disseminate or display the article provided that the author is attributed as the original creator and that the reuse is restricted to non-commercial purposes i.e. research or educational use. The author has the copyright but TSR has the right of first publication. When the article is used e.g. for educational or other non-commercial purposes, the user is expected to mention the author(s), the title of the publication, the name and the number of the publication series and URL-address. The license of the published metadata is Creative Commons CC0 1.0 Universal (CC0 1.0).
