Memorias de investigación
Artículos en revistas:
A Framework for Goal-Oriented Discovery of Resources in the RESTful Architecture
Año:2014
Áreas de investigación
  • Telemática
Datos
Descripción
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.
Internacional
Si
JCR del ISI
Si
Título de la revista
Ieee Transactions on Systems Man And Cybernetics Part C-Applications And Reviews
ISSN
1094-6977
Factor de impacto JCR
2,548
Información de impacto
Datos JCR del año 2012
Volumen
44
DOI
10.1109/TSMCC.2013.2259231
Número de revista
6
Desde la página
796
Hasta la página
803
Mes
JUNIO
Ranking
Q1
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Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Sistemas Inteligentes
  • Departamento: Ingeniería de Sistemas Telemáticos