Automatic Search of Web APIs exposed in the open source context

Authors

  • Cecilia Cioloca The Bucharest University of Economic Studies
  • Madalina Zurini The Bucharest University of Economic Studies
  • Mihai Georgescu The Bucharest University of Economic Studies

Keywords:

Web API, k Nearest Neighbor, open source, automatic search, SOA, grid cell feature space

Abstract

The Service Oriented Architecture is presented in the context of organizations today. The Web APIs are being defined. Architecture for Web APIs aggregation is proposed. The components of the architecture are detailed.  A method for automatic feature extraction from Web APIs is proposed in order to generate the input data for k Nearest Neighbor search algorithm. The main directions of kNN algorithm are highlighted along with the advantages and disadvantages appeared. A structure for Web APIs is formed out of the features extracted for a homogeneity approach and the output data is used in a hierarchical searching result. An optimization method is proposed for lowering the time consumption given by the high complexity level, using a grid formed out of cell searching algorithm.

Author Biography

Cecilia Cioloca, The Bucharest University of Economic Studies

PhD in Economic Informatics

References

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Published

2013-03-30

How to Cite

Cioloca, C., Zurini, M., & Georgescu, M. (2013). Automatic Search of Web APIs exposed in the open source context. Journal of Mobile, Embedded and Distributed Systems, 5(1), 11-17. Retrieved from http://www.jmeds.eu/index.php/jmeds/article/view/Automatic_Search_of_Web_APIs_Exposed_in_the_Open_Source_Context

Issue

Vol. 5 No. 1 (2013): Advances in Data Processing

Section

Articles

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