Desarrollo en España  De Empresas De Servicios Para La Gestión Eficiente De Los Procesos Energéticos

Morcillo, Jesús Muñoz; Romero, Bernardo Prida

doi:10.6036/5861

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Users require an intelligent service mashup based on associations between services. Hence, researchers need to investigate new service discovery approaches from other viewpoints, such as semantic relevance [12], contextual awareness, social network [13], or linked prediction.…”

Section: State Of the Artmentioning

confidence: 99%

A Semantic-Based Service Discovery Framework for Collaborative Environments

Xu¹,

Raahemi²

2016

Int. j. simul. model.

View full text Add to dashboard Cite

In recent years, service-oriented and ubiquitous technologies have experienced impressive development. As these services grow rapidly both in scale and type, effective and accurate service discovery methods play an increasingly important role in the search and selection of services that match consumer requirements and preferences. In order to discover the optimum service and enhance the effectiveness of discovered results, a semantic-based service discovery framework, consisting of user model, context model, service model and a service discovery process, was presented in this study. Then the personalized service ontology was introduced to adjust the service search range adaptively on the basis of the service ontology structure and user information. Furthermore, a semantic-based service discovery method was designed in the proposed framework, which enabled names, attributes and relations of services to be more accurately matched and mapped with user preferences. Finally, to evaluate the effectiveness and accuracy of this method, the simulation analysis was conducted based on service ontology, in which information on 102 separate services and 10 scenarios were extracted from actual data. The simulation results show that compared with the keywords-based method, the proposed semantic-based method shows an increase in recall rate, precision and F-measure. The simulation results also reveal that the proposed method improves service discovery efficiency and performs well in accuracy. Therefore, collaborative environments considered in service discovery can provide useful and effective guidance to study the service recommendation.

show abstract

Section: State Of the Artmentioning

confidence: 99%