Abstract
European data spaces are increasingly promoting interoperability among systems by the use of shared vocabularies and standardized data models. Ontologies, which provide structured vocabularies to uniformly interpret data, are crucial for achieving this interoperability. One essential step in ontology development is the reuse of existing ontologies. However, in the last decade, many efforts have been spent to develop ontologies that, in some cases, cover the same domain. Thus, selecting the most suitable one for reuse is becoming a challenging task for ontology engineers. To address this, we propose a tool that assists ontology engineers in evaluating and selecting ontologies based on various criteria, including structural features, lexical coverage, fairness, and maturity. This tool offers a comprehensive scoring system to guide decision-making during the reuse phase, ensuring efficient ontology integration. It will be validated through feedback from domain experts and applied to develop a unified semantic data model for energy data spaces.
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References
Amdouni, E., Bouazzouni, S., Jonquet, C.: O’faire makes you an offer: metadata-based automatic fairness assessment for ontologies and semantic resources. Int. J. Metadata Semant. Ontol. 16(1), 16–46 (2022)
Amith, M., et al.: Architecture and usability of ontokeeper, an ontology evaluation tool. BMC Med. Inf. Decis. Mak. 19, 1–18 (2019)
Avila, C.V.S., Maia, G., Franco, W., Rolim, T.V., da Rocha Franco, A.D.O., Vidal, V.M.P.: Ontoval: a tool for ontology evaluation by domain specialists. In: ER Forum/Posters/Demos, pp. 143–147 (2019)
Brank, J., Grobelnik, M., Mladenic, D.: A survey of ontology evaluation techniques. In: Proceedings of the Conference on Data Mining and Data Warehouses (SiKDD 2005), pp. 166–170. Citeseer (2005)
Cantador, I., Fernández, M., Castells, P.: Improving ontology recommendation and reuse in webcore by collaborative assessments (2007)
Cantador, I., Fernández, M., Castells, P.: Webcore: a web application for collaborative ontology reuse and evaluation. Available at researchgate. net. Accessed 10 Nov (2020)
Carriero, V.A., et al.: The landscape of ontology reuse approaches. In: Applications and Practices in Ontology Design, Extraction, and Reasoning, pp. 21–38. IOS Press (2020)
Duque-Ramos, A., Fernández-Breis, J.T., Stevens, R., Aussenac-Gilles, N.: Oquare: a square-based approach for evaluating the quality of ontologies. J. Res. Pract. Inf. Technol. 43(2), 159–176 (2011)
European Commission: Data Spaces Panel Report (2020). https://data.europa.eu/sites/default/files/report/Data_Spaces_Panel_Report_EN.pdf. Accessed 8 Mar 2024
European Commission: Guiding notes to use the trl self-assessment tool. Horizon 2020 (2020)
Fernández, M., Cantador, I., Castells, P.: Core: a tool for collaborative ontology reuse and evaluation (2006)
Garijo, D., Corcho, O., Poveda-Villalón, M.: Foops!: an ontology pitfall scanner for the fair principles. In: ISWC (Posters/Demos/Industry) (2021)
Gouriet, M., et al.: The energy data space: the path to a European approach for energy. In: Designing Data Spaces: The Ecosystem Approach to Competitive Advantage, pp. 535–575. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-93975-5_33
Guarino, N., Oberle, D., Staab, S.: What is an ontology? In: Handbook on Ontologies, pp. 1–17 (2009)
Halper, M., Soldatova, L.N., Brochhausen, M., Sabiu Maikore, F., Ochs, C., Perl, Y.: Guidelines for the reuse of ontology content. Appl. Ontol. 18(1), 5–29 (2023)
Hlomani, H., Stacey, D.: Approaches, methods, metrics, measures, and subjectivity in ontology evaluation: a survey. Semant. Web J. 1(5), 1–11 (2014)
Jahan, N.: OntoReuse: Metrics Calculation Details (2024). https://github.com/Nushrat-Jahan/OntoReuse/blob/main/Metrics%20Calculation%20Details.md. Accessed 03 Sept 2024
Katsumi, M., Grüninger, M.: What is ontology reuse? In: FOIS, pp. 9–22 (2016)
Khan, Z.C.: Evaluation metrics in ontology modules. In: Description Logics (2016)
Kotis, K.I., Vouros, G.A., Spiliotopoulos, D.: Ontology engineering methodologies for the evolution of living and reused ontologies: status, trends, findings and recommendations. Knowl. Eng. Rev. 35, e4 (2020)
Maedche, A., Staab, S.: Measuring similarity between ontologies. In: Gómez-Pérez, A., Benjamins, V.R. (eds.) EKAW 2002. LNCS (LNAI), vol. 2473, pp. 251–263. Springer, Heidelberg (2002). https://doi.org/10.1007/3-540-45810-7_24
Pinto, H.S., Martins, J.: Reusing ontologies. In: AAAI 2000 Spring Symposium on Bringing Knowledge to Business Processes, vol. 2, p. 7. AAAI, Karlsruhe (2000)
Poveda-Villalón, M., Fernández-Izquierdo, A., Fernández-López, M., García-Castro, R.: Lot: an industrial oriented ontology engineering framework. Eng. Appl. Artif. Intell. 111, 104755 (2022)
Poveda-Villalón, M., Suárez-Figueroa, M.C., Gómez-Pérez, A.: Validating ontologies with OOPS! In: ten Teije, A., et al. (eds.) EKAW 2012. LNCS (LNAI), vol. 7603, pp. 267–281. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-33876-2_24
Raad, J., Cruz, C.: A survey on ontology evaluation methods. In: International Conference on Knowledge Engineering and Ontology Development, vol. 2, pp. 179–186. SciTePress (2015)
Sowiński, P., Wasielewska-Michniewska, K., Ganzha, M., Paprzycki, M., Bădică, C.: Ontology reuse: the real test of ontological design. In: New Trends in Intelligent Software Methodologies, Tools and Techniques, pp. 631–645. IOS Press (2022)
Talebpour, M., Sykora, M., Jackson, T.: The evaluation of ontologies for quality, suitability for reuse, and the significant role of social factors. In: Fred, A., Salgado, A., Aveiro, D., Dietz, J., Bernardino, J., Filipe, J. (eds.) IC3K 2018. CCIS, vol. 1222, pp. 161–177. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-49559-6_8
Tartir, S., Arpinar, I.B., Moore, M., Sheth, A.P., Aleman-Meza, B.: Ontoqa: metric-based ontology quality analysis (2005)
Trokanas, N., Cecelja, F.: Ontology evaluation for reuse in the domain of process systems engineering. Comput. Chem. Eng. 85, 177–187 (2016)
Zaitoun, A., Sagi, T., Hose, K.: Automated ontology evaluation: evaluating coverage and correctness using a domain corpus. In: Companion Proceedings of the ACM Web Conference 2023, pp. 1127–1137 (2023)
Acknowledgement
This work is funded by the European Union’s Horizon Europe innovation action program under grant agreement no [101069287] (OMEGA-X). https://omega-x.eu/.
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Nachabe, L., Jahan, N. (2025). A Proposed Ontology Evaluation Tool to Assist Ontology Engineers in Selecting Ontologies During the Reuse Phase. In: Tiwari, S., Villazón-Terrazas, B., Ortiz-Rodríguez, F., Sahri, S. (eds) Knowledge Graphs and Semantic Web. KGSWC 2024. Lecture Notes in Computer Science, vol 15459. Springer, Cham. https://doi.org/10.1007/978-3-031-81221-7_21
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