Semantics-enabled web APIs selection patterns

  • Authors:
  • Devis Bianchini;Valeria De Antonellis;Michele Melchiori

  • Affiliations:
  • Università degli Studi di Brescia, Brescia, Italy;Università degli Studi di Brescia, Brescia, Italy;Università degli Studi di Brescia, Brescia, Italy

  • Venue:
  • Proceedings of the 15th Symposium on International Database Engineering & Applications
  • Year:
  • 2011

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Abstract

The design of Web applications from third-party Web APIs can be shortened by providing effective tools that abstract from heterogeneity of Web API descriptions and support the designer for their proactive selection. In this paper, we identify Web API selection patterns to support interactive and proactive Web application development according to an exploratory perspective. Selection patterns rely on a semantic characterization of Web API descriptions that abstracts from implementation details and semantics-enabled metrics for evaluation of coupling and similarity degree. A prototype tool that implements selection patterns is also presented.