Semantic-Enabled and Hypermedia-Driven Linked Service Discovery

Mahdi Bennara 1 Michael Mrissa 1 Youssef Amghar 1
1 SOC - Service Oriented Computing
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : Automating discovery and composition of RESTful services with the help of semantic Web technologies is a key challenge to exploit today's Web potential. In this paper, we show how semantic annotations on resource descriptions can drive discovery algorithms on the Web. We propose a semantically-enabled variant of the BFS discovery algorithm that aims at minimizing the number of links explored while maximizing result diversity. Our algorithm calculates semantic distances between resource descriptions and user request concepts to rank explored resources accordingly. We demonstrate the applicability of our solution with a typical scenario and provide an evaluation with a prototype.
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Conference papers
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https://hal-univ-pau.archives-ouvertes.fr/hal-01908722
Contributor : Julien Rabaud <>
Submitted on : Tuesday, October 30, 2018 - 2:36:08 PM
Last modification on : Friday, April 26, 2019 - 11:16:01 PM

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UNIV-PAU | EC-LYON | UNIV-LYON1 | INSA-LYON | LIRIS | UNIV-LYON2 | INSA-GROUPE | LABEXIMU

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Mahdi Bennara, Michael Mrissa, Youssef Amghar. Semantic-Enabled and Hypermedia-Driven Linked Service Discovery. Model and Data Engineering - 6th International Conference, MEDI 2016, Almeria, Spain, September 21-23, 2016, Proceedings, Sep 2016, Almeria, Spain. pp.108-117, ⟨10.1007/978-3-319-45547-1_9⟩. ⟨hal-01908722⟩

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