Title: Using semantics for automating the authentication of web APIs
Authors: Maleshkova, Maria 
Pedrinaci, Carlos
Domingue, John
Alvaro, Guillermo
Martinez, Ivan
Language: eng
Issue Date: 1-Jan-2010
Publisher: Springer
Document Type: Conference Object
Journal / Series / Working Paper (HSU): Lecture Notes in Computer Science
Volume: 6496
Page Start: 534
Page End: 549
Published in (Book): The Semantic Web – ISWC 2010 : 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers
Number: 1
Publisher Place: Berlin
Conference: 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11
Abstract: 
Recent technology developments in the area of services on the Web are marked by the proliferation of Web applications and APIs. The implementation and evolution of applications based on Web APIs is, however, hampered by the lack of automation that can be achieved with current technologies. Research on semantic Web services is therefore trying to adapt the principles and technologies that were devised for traditional Web services, to deal with this new kind of services. In this paper we show that currently more than 80% of the Web APIs require some form of authentication. Therefore authentication plays a major role for Web API invocation and should not be neglected in the context of mashups and composite data applications. We present a thorough analysis carried out over a body of publicly available APIs that determines the most commonly used authentication approaches. In the light of these results, we propose an ontology for the semantic annotation of Web API authentication information and demonstrate how it can be used to create semantic Web API descriptions. We evaluate the applicability of our approach by providing a prototypical implementation, which uses authentication annotations as the basis for automated service invocation. © 2010 Springer-Verlag.
Organization Units (connected with the publication): Karlsruhe Institute of Technology
ISBN: 364217745X
ISSN: 03029743
Publisher DOI: 10.1007/978-3-642-17746-0_34
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