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Fuzzy Matching of OpenAPI Described REST Services
Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.ORCID iD: 0000-0002-3127-7024
Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.ORCID iD: 0000-0003-0891-2859
Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
2018 (English)In: Procedia Computer Science, Elsevier, 2018, Vol. 126, p. 1313-1322Conference paper, Published paper (Refereed)
Abstract [en]

The vast amount of Web services brings the problem of discovering desired services for composition and orchestration. The syntactic service matching methods based on the classical set theory have a difficulty to capture the imprecise information. Therefore, an approximate service matching approach based on fuzzy control is explored in this paper. A service description matching model to the OpenAPI specification, which is the most widely used standard for describing the defacto REST Web services, is proposed to realize the fuzzy service matching with the fuzzy inference method developed by Mamdani and Assilian. An evaluation shows that the fuzzy service matching approach performed slightly better than the weighted approach in the setting context.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 126, p. 1313-1322
Series
Procedia Computer Science, ISSN 1877-0509
Keywords [en]
service matching; fuzzy inference; OpenAPI; REST; fuzzy set theory
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-16947DOI: 10.1016/j.procs.2018.08.081OAI: oai:DiVA.org:bth-16947DiVA, id: diva2:1243058
Conference
22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2018; Metropol Palace HotelBelgrade; Serbia; 3 September 2018 through 5 September
Note

Open access

Available from: 2018-08-30 Created: 2018-08-30 Last updated: 2018-11-29Bibliographically approved

Open Access in DiVA

fulltext(965 kB)55 downloads
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File name FULLTEXT01.pdfFile size 965 kBChecksum SHA-512
06ed96b57839f01b4aa96798ae46879f665c307b32ca5c053cd477e2c57f905641878454d54c00f334cc3b0218468dfebd6ba452e26d7335d9dacc233315b0fe
Type fulltextMimetype application/pdf

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Publisher's full texthttps://www.sciencedirect.com/science/article/pii/S1877050918313590

Authority records BETA

Goswami, PrashantBai, Guohua

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Peng, CongGoswami, PrashantBai, Guohua
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