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

Fernández Villamor, José Ignacio and Iglesias Fernandez, Carlos Angel and 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.

Description

Title: A framework for goal-oriented discovery of resources in the RESTful architecture
Author/s:
  • Fernández Villamor, José Ignacio
  • Iglesias Fernandez, Carlos Angel
  • Garijo Ayestaran, Mercedes
Item Type: Article
Título de Revista/Publicación: IEEE Transactions on Systems, Man, and Cybernetics: Systems
Date: June 2014
ISSN: 1094-6977
Volume: 44
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería de Sistemas Telemáticos [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 33000
DC Identifier: http://oa.upm.es/33000/
OAI Identifier: oai:oa.upm.es:33000
DOI: 10.1109/TSMCC.2013.2259231
Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6595093
Deposited by: Memoria Investigacion
Deposited on: 14 Dec 2014 11:28
Last Modified: 14 Dec 2014 11:28
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