Catalogue en ligne Bibliothèque Ecole Nationale Polytechnique d'Alger

Classification of REST API methods to solve the interoperability problem / Sofiane Chetoui

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Titre : Classification of REST API methods to solve the interoperability problem
Type de document : texte imprimé
Auteurs : Sofiane Chetoui, Auteur ; Mourad Adnane, Directeur de thèse
Editeur : [S.l.] : [s.n.]
Année de publication : 2018
Importance : 98 f.
Présentation : ill.
Format : 30 cm.
Accompagnement : 1 CD-ROM
Note générale : Mémoire de Projet de Fin d’Étude : Électronique : Alger, École Nationale Polytechnique : 2018
Bibliogr. f. 81 - 85 . Index f. 86 - 98
Langues : Anglais (eng)
Mots-clés : Internet of things
Interoperability
Classification
Natural Language processing
Machine learning
Index. décimale : PN00318
Résumé : This work focuses on interoperability issues, where we propose a novel approach to deal with the interfacing of internet of things devices, which is supposed to alleviate the interoperability issue. Based on Natural Language Processing and Machine Learning techniques, the proposed solution aims to classify API methods in order to automatically identify the specific action related to each method without any prior knowledge. This contribution may be an important piece of a larger solution that ensures the interoperability of IoT devices without imposing anything to the different IoT stakeholders. The proposed technique can be also used to detect the capabilities and the available physical interfaces of any device, which can also can help in improving the service recommendation techniques.

Classification of REST API methods to solve the interoperability problem [texte imprimé] / Sofiane Chetoui, Auteur ; Mourad Adnane, Directeur de thèse . - [S.l.] : [s.n.], 2018 . - 98 f. : ill. ; 30 cm. + 1 CD-ROM.
Mémoire de Projet de Fin d’Étude : Électronique : Alger, École Nationale Polytechnique : 2018
Bibliogr. f. 81 - 85 . Index f. 86 - 98
Langues : Anglais (eng)
Mots-clés : Internet of things
Interoperability
Classification
Natural Language processing
Machine learning
Index. décimale : PN00318
Résumé : This work focuses on interoperability issues, where we propose a novel approach to deal with the interfacing of internet of things devices, which is supposed to alleviate the interoperability issue. Based on Natural Language Processing and Machine Learning techniques, the proposed solution aims to classify API methods in order to automatically identify the specific action related to each method without any prior knowledge. This contribution may be an important piece of a larger solution that ensures the interoperability of IoT devices without imposing anything to the different IoT stakeholders. The proposed technique can be also used to detect the capabilities and the available physical interfaces of any device, which can also can help in improving the service recommendation techniques.

Exemplaires

Code-barres Cote Support Localisation Section Disponibilité Spécialité Etat_Exemplaire
P000315 PN00318 Papier + ressource électronique Bibliothèque centrale Projet Fin d'Etudes Disponible Electronique Consultation sur place/Téléchargeable

Documents numériques

CHETOUI.Sofiane.pdf
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