A Framework for Goal-Oriented Discovery of Resources in the RESTful Architecture

• Published in: IEEE transactions on systems, man, and cybernetics. Systems Vol. 44; no. 6; pp. 796 - 803
• Main Authors: Fernandez-Villamor, Jose Ignacio, Iglesias, Carlos A., Garijo, Mercedes
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.06.2014; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Agents; Applied sciences; Artificial intelligence; Computer science; control theory; systems; Computer systems and distributed systems. User interface; contents; Cybernetics; Data processing. List processing. Character string processing; discovery; Electronics; Exact sciences and technology; Exchange; HTML; information extraction; Intelligent agents; Memory organisation. Data processing; News; Object oriented modeling; Protocols; representational stateless transfer system (REST); Resource description framework; Semantics; services; Software; Tasks; Agents; information extraction; representational stateless transfer system (REST); services; contents; discovery; Content access; Content management; Internet protocol; Web service; Distributed computing; Modeling; Semantic web; Semantics; World wide web; Knowledge discovery; Publish subscribe middleware; Internet; Electronic data interchange; Resource management; Web site; Representational stateless transfer system; Data link; Content analysis
• ISSN: 2168-2216; 2168-2232
• DOI: 10.1109/TSMCC.2013.2259231

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.