A linked data perspective for effective exploration of web APIs Repositories

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Abstract

In this paper, we propose a novel approach to provide a comprehensive cross-repositories view of the available Web APIs information, in order to enhance effective multi-perspective Web APIs search for fast development of web mashups. The approach is based on Linked Data principles to identify and use semantic links across repositories for search purposes. Specifically, the paper considers Web APIs search across the popular ProgrammableWeb and Mashape repositories by combining their distinctive Web API descriptions. © 2013 Springer-Verlag Berlin Heidelberg.

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Bianchini, D., De Antonellis, V., & Melchiori, M. (2013). A linked data perspective for effective exploration of web APIs Repositories. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7977 LNCS, pp. 506–509). https://doi.org/10.1007/978-3-642-39200-9_46

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