Conference
A Framework for Discovering and Automatically Composing Services
| العنوان: | A Framework for Discovering and Automatically Composing Services |
|---|---|
| المؤلفون: | Fauvet, M.-C, Caicedo-Castro, I.-B, Na-Lumpoon, P, Lbath, Ahmed |
| المساهمون: | Laboratoire d'Informatique de Grenoble (LIG), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ), Universidad de Córdoba = University of Córdoba Córdoba |
| المصدر: | ICSOC - demo session ; https://hal.science/hal-01888343 ; ICSOC - demo session, 2015, GOA, India |
| بيانات النشر: | CCSD |
| سنة النشر: | 2015 |
| المجموعة: | Université Grenoble Alpes: HAL |
| مصطلحات موضوعية: | Web Service Discovery, Information Retrieval, Mobile Computing, AI Planning, Service Automated Composition, BPM, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR] |
| جغرافية الموضوع: | GOA, India |
| الوصف: | International audience ; The study described in this paper is a part of a broader project on E-Tourism that aims at providing mobile users with context-aware personalised services. This paper focuses on issues raised by service discovery and automated composition. Given mobile users' requirement (e.g., buying airplane tickets, booking a hotel room, renting a car, etc.) expressed in a free-text query, the framework we describe in the paper deals with discovery and composition services to be executed in order to fulfil users' needs. First, behind the service discovery module is the idea to match the users' queries with a set of documents in a corpus such that each document contains a service description. To achieve the design of this module we have proposed a family of IR models. Second the module which is responsible with on-the-fly composition of the operations of the retrieved services is based on AI planning and produces an executable business process model whose each task correspond to a call to a service operation. The whole framework has been partially evaluated: we give in the paper experimental evaluations that show that our discovery model, based on query expansion via a co-occurrence thesaurus, outperforms the effectiveness of all models we have reviewed. |
| نوع الوثيقة: | conference object |
| اللغة: | English |
| الاتاحة: | https://hal.science/hal-01888343 https://hal.science/hal-01888343v1/document https://hal.science/hal-01888343v1/file/main.pdf |
| Rights: | info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.465D84B8 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |