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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/BB7E290B-D18D-4F19-B896-4F481AEAD85B | - |
| Identifier | https://doi.org/10.1109/ICTAI50040.2020.00016 | - |
| Identifier | https://ieeexplore.ieee.org/document/9288198 | - |
| Language | en | - |
| Extent | 6 pages | en |
| Title | Ontology for OpenAPI REST services descriptions | en |
| Creator | Karavasileiou Aikaterini | en |
| Creator | Καραβασιλειου Αικατερινη | el |
| Creator | Mainas Nikolaos | en |
| Creator | Μαϊνας Νικολαος | el |
| Creator | Petrakis Evripidis | en |
| Creator | Πετρακης Ευριπιδης | el |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Description | 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI), 9-11 Nov. 2020, Baltimore, MD, USA | en |
| Content Summary | OpenAPI Specification (OAS) defines a description format for REST APIs. In order for a machine to understand the meaning of REST services, OpenAPI service descriptions must be unambiguous. In a previous work we analysed the reasons that cause ambiguities in OpenAPI and showed that, in order to eliminate ambiguities, OpenAPI properties must be semantically annotated and mapped to a semantic model. Leveraging latest results for hypermedia-based construction of Web APIs (i.e. Hydra), the present work forwards this approach and proposes a reference ontology for REST services along with a formal procedure for converting OpenAPI service descriptions to instances of this ontology. | en |
| Type of Item | Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Publication | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2021-12-23 | - |
| Date of Publication | 2020 | - |
| Subject | Web service | en |
| Subject | Ontology | en |
| Subject | OpenAPI | en |
| Subject | REST | en |
| Subject | Hydra | en |
| Bibliographic Citation | A. Karavisileiou, N. Mainas, and E. G. M. Petrakis, "Ontology for OpenAPI REST services descriptions," in ICTAI 2020, pp. 35-40. doi: 10.1109/ICTAI50040.2020.00016 | en |
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