Abstract
Ontological requirements play a key role in ontology development as they determine the knowledge that needs to be modelled. In addition, the analysis of such requirements can be used (a) to improve ontology testing by easing the automation of requirements into tests; (b) to improve the requirements specification activity; or (c) to ease ontology reuse by facilitating the identification of patterns. However, there is a lack of openly available ontological requirements published together with their associated ontologies, which hinders such analysis. Therefore, in this work we present CORAL (Corpus of Ontological Requirements Annotated with Lexico-syntactic patterns), an openly available corpus of 834 ontological requirements annotated and 29 lexico-syntactic patterns, from which 12 are proposed in this work. CORAL is openly available in three different open formats, namely, HTML, CSV and RDF under “Creative Commons Attribution 4.0 International” license.
Keywords
This work is partially supported by the H2020 project VICINITY: Open virtual neighbourhood network to connect intelligent buildings and smart objects (H2020-688467), by ETSI Specialist Task Force 534, and by a Predoctoral grant from the I+D+i program of the Universidad Politécnica de Madrid. The authors want to thank Agnieszka Ławrynowicz and her team for helping in the collection of ontological requirements.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
- 2.
- 3.
- 4.
- 5.
- 6.
- 7.
- 8.
- 9.
Please note that we consider 4 of the 5 ontologies analyzed by them. The only ontology left was not considered due to the fact that their requirements were published recently (November 26, 2018). It will be included in future releases (see Sect. 2.2).
References
Aguado de Cea, G., Gómez-Pérez, A., Montiel-Ponsoda, E., Suárez-Figueroa, M.C.: Natural language-based approach for helping in the reuse of ontology design patterns. In: Gangemi, A., Euzenat, J. (eds.) EKAW 2008. LNCS (LNAI), vol. 5268, pp. 32–47. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-87696-0_6
Baader, F., Horrocks, I., Sattler, U.: Description logics. Found. Artif. Intell. 3, 135–179 (2008)
Bezerra, C., Freitas, F., Santana, F.: Evaluating ontologies with competency questions. In: 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), vol. 3, pp. 284–285. IEEE (2013)
Daga, E., et al.: NeOn D2. 5.2 Pattern Based Ontology Design: Methodology and Software Support (2010)
Dennis, M., van Deemter, K., Dell’Aglio, D., Pan, J.Z.: Computing authoring tests from competency questions: experimental validation. In: d’Amato, C., et al. (eds.) ISWC 2017. LNCS, vol. 10587, pp. 243–259. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-68288-4_15
Gangemi, A., Presutti, V.: Ontology design patterns. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies. IHIS, pp. 221–243. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-540-92673-3_10
Lopez, V., Pasin, M., Motta, E.: AquaLog: an ontology-portable question answering system for the semantic web. In: Gómez-Pérez, A., Euzenat, J. (eds.) ESWC 2005. LNCS, vol. 3532, pp. 546–562. Springer, Heidelberg (2005). https://doi.org/10.1007/11431053_37
Malone, J., Brown, A., Lister, A.L., Ison, J., Hull, D., Parkinson, H., Stevens, R.: The software ontology (SWO): a resource for reproducibility in biomedical data analysis, curation and digital preservation. J. Biomed. Semant. 5(1), 25 (2014)
Montiel-Ponsoda, E.: Multilingualism in Ontologies - Building Patterns and Representation Models. LAP Lambert Academic Publishing, Germany (2011)
Panov, P., Soldatova, L.N., Džeroski, S.: Generic ontology of datatypes. Inf. Sci. 329, 900–920 (2016)
Parkkila, J., Radulovic, F., Garijo, D., Poveda-Villalón, M., Ikonen, J., Porras, J., Gómez-Pérez, A.: An ontology for videogame interoperability. Multimedia Tools Appl. 76(4), 4981–5000 (2017)
Presutti, V., Daga, E., Gangemi, A., Blomqvist, E.: eXtreme design with content ontology design patterns. In: Proceedings of Workshop on Ontology Patterns (2009)
Ren, Y., Parvizi, A., Mellish, C., Pan, J.Z., van Deemter, K., Stevens, R.: Towards competency question-driven ontology authoring. In: Presutti, V., d’Amato, C., Gandon, F., d’Aquin, M., Staab, S., Tordai, A. (eds.) ESWC 2014. LNCS, vol. 8465, pp. 752–767. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07443-6_50
SmartM2M: SAREF extension investigation Technical report (TR 103 411)
Suárez-Figueroa, M.C., et al.: NeOn D5.1.1 NeOn Modelling Components (2007)
Suárez-Figueroa, M.C., Gómez-Pérez, A.: First attempt towards a standard glossary of ontology engineering terminology. In: Proceedings of 8th International Conference on Terminology and Knowledge Engineering (TKE 2008), p. 1 (2008)
Suárez-Figueroa, M.C., Gómez-Pérez, A., Fernandez-Lopez, M.: The NeOn methodology framework: a scenario-based methodology for ontology development. Appl. Ontol. 10(2), 107–145 (2015)
Suárez-Figueroa, M.C., Gómez-Pérez, A., Villazón-Terrazas, B.: How to write and use the ontology requirements specification document. In: Meersman, R., Dillon, T., Herrero, P. (eds.) OTM 2009. LNCS, vol. 5871, pp. 966–982. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-05151-7_16
Zemmouchi-Ghomari, L., Ghomari, A.R.: Translating natural language competency questions into SPARQLQueries: a case study. In: The First International Conference on Building and Exploring Web Based Environments, pp. 81–86 (2013)
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Fernández-Izquierdo, A., Poveda-Villalón, M., García-Castro, R. (2019). CORAL: A Corpus of Ontological Requirements Annotated with Lexico-Syntactic Patterns. In: Hitzler, P., et al. The Semantic Web. ESWC 2019. Lecture Notes in Computer Science(), vol 11503. Springer, Cham. https://doi.org/10.1007/978-3-030-21348-0_29
Download citation
DOI: https://doi.org/10.1007/978-3-030-21348-0_29
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-21347-3
Online ISBN: 978-3-030-21348-0
eBook Packages: Computer ScienceComputer Science (R0)