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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/E34390CD-0909-41C8-BE3C-F910B8153C2C | - |
| Identifier | https://doi.org/10.1109/ICSESS.2017.8342865 | - |
| Identifier | https://ieeexplore.ieee.org/document/8342865 | - |
| Language | en | - |
| Extent | 4 pages | en |
| Title | Semantically enriched open API service descriptions in the cloud | en |
| Creator | Mainas Nikolaos | en |
| Creator | Μαϊνας Νικολαος | el |
| Creator | Petrakis Evripidis | en |
| Creator | Πετρακης Ευριπιδης | el |
| Creator | Sotiriadis Stelios | en |
| Creator | Σωτηριαδης Στελιος | el |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Content Summary | We propose an extension of the Open API specification (OAS) for the semantic description of RESTful services. We suggest that API descriptions (eg. on Clouds) be semantically annotated by associating OAS entities to entities in an ontology. The new approach, referred to Semantic OAS (SOAS) eliminates ambiguities and produces descriptions of RESTful services that are understandable by both, humans and machines. Moreover, SOAS descriptions are equivalent (i.e. can be translated) to an ontology. Therefore, SOAS services can be easily discovered (i.e. by other services), queried by Semantic Web query languages (e.g. SPARQL), checked by reasoners (e.g. Pellet) for consistency or inferring new (hidden) relationships and, finally, be used by service orchestration mechanisms. | en |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2019-09-17 | - |
| Date of Publication | 2018 | - |
| Subject | Cloud computing | en |
| Subject | Ontology | en |
| Subject | Open API | en |
| Subject | REST | en |
| Subject | Web services | en |
| Bibliographic Citation | N. Mainas, E.G.M. Petrakis and S. Sotiriadis, "Semantically enriched open API service descriptions in the cloud," in 8th IEEE International Conference on Software Engineering and Service Science, 2018, pp. 66-69. doi: 10.1109/ICSESS.2017.8342865 | en |
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