Authors:
José Ignacio Fernández-Villamor
;
Carlos A. Iglesias
and
Mercedes Garijo
Affiliation:
Universidad Politécnica de Madrid, Spain
Keyword(s):
Service description, Mashups, Semantic web, Web applications, REST.
Related
Ontology
Subjects/Areas/Topics:
Communication and Software Technologies and Architectures
;
Cross-Feeding between Data and Software Engineering
;
e-Business
;
Enterprise Information Systems
;
Languages, Tools and Architectures
;
Model-Driven Software Development
;
Service-Oriented Architectures
;
Service-Oriented Software Engineering and Management
;
Software and Systems Development Methodologies
;
Software Engineering
;
Technology Platforms
Abstract:
In order to take advantage of the services that are available on the Web, several approaches that allow describing services have been proposed. With them, developers can publish service descriptions, allowing services to be automatically executed and composed. However, in most cases, the service description task is not carried out, partly because it is a time-consuming task. This has caused initiatives such as WSMO lite, SA-REST, hRESTS or Microservices, that try to reduce complexity in services, to appear.
Also, an increasing number of web applications have followed the Linked Data initiative and publish information that is machine processable thanks to Semantic Web technologies such as RDF. However, sometimes direct access to information requires the usage of search forms and, in other cases, spidering techniques such as focused crawling in order to aggregate and filter data. Automatic execution of search services would improve access to information in the web by enabling agents t
o automatically aggregate, filter and directly access data.
In this paper, it is presented how the Microservices framework can provide a feature-based vocabulary for the description of image search services. Microservices framework is a lightweight service description framework that take feature-oriented and aspect-oriented programming ideas to service description. The article illustrates how this vocabulary can characterise a set of popular search services, such as Google Images or Flickr. In addition, the article describes how this vocabulary can be used for the development of new services, such as a metasearcher that aggregates results from various search services.
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