A framework for goal-oriented discovery of resources in the RESTful architecture

Fernández Villamor, José Ignacio; Iglesias Fernandez, Carlos Angel y Garijo Ayestaran, Mercedes (2014). A framework for goal-oriented discovery of resources in the RESTful architecture. "IEEE Transactions on Systems, Man, and Cybernetics: Systems", v. 44 (n. 6); pp. 796-803. ISSN 1094-6977. https://doi.org/10.1109/TSMCC.2013.2259231.

Descripción

Título: A framework for goal-oriented discovery of resources in the RESTful architecture
Autor/es:
  • Fernández Villamor, José Ignacio
  • Iglesias Fernandez, Carlos Angel
  • Garijo Ayestaran, Mercedes
Tipo de Documento: Artículo
Título de Revista/Publicación: IEEE Transactions on Systems, Man, and Cybernetics: Systems
Fecha: Junio 2014
Volumen: 44
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería de Sistemas Telemáticos [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

One of the challenges facing the current web is the efficient use of all the available information. The Web 2.0 phenomenon has favored the creation of contents by average users, and thus the amount of information that can be found for diverse topics has grown exponentially in the last years. Initiatives such as linked data are helping to build the Semantic Web, in which a set of standards are proposed for the exchange of data among heterogeneous systems. However, these standards are sometimes not used, and there are still plenty of websites that require naive techniques to discover their contents and services. This paper proposes an integrated framework for content and service discovery and extraction. The framework is divided into several layers where the discovery of contents and services is made in a representational stateless transfer system such as the web. It employs several web mining techniques as well as feature-oriented modeling for the discovery of cross-cutting features in web resources. The framework is used in a scenario of electronic newspapers. An intelligent agent crawls the web for related news, and uses services and visits links automatically according to its goal. This scenario illustrates how the discovery is made at different levels and how the use of semantics helps implement an agent that performs high-level tasks.

Más información

ID de Registro: 33000
Identificador DC: http://oa.upm.es/33000/
Identificador OAI: oai:oa.upm.es:33000
Identificador DOI: 10.1109/TSMCC.2013.2259231
URL Oficial: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6595093
Depositado por: Memoria Investigacion
Depositado el: 14 Dic 2014 11:28
Ultima Modificación: 14 Dic 2014 11:28
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