Artículo
Improving semantic Web services discovery and ranking: A lightweight, integrated approach
Autor/es | García Rodríguez, José María |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2016 |
Fecha de depósito | 2017-12-13 |
Publicado en |
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Resumen | Semantic Web services frameworks provide the means to automatically discover, rank, compose and invoke services
according to user requirements and preferences. However, current preference models offer limited expressiveness ... Semantic Web services frameworks provide the means to automatically discover, rank, compose and invoke services according to user requirements and preferences. However, current preference models offer limited expressiveness and they are tightly coupled with underlying discovery and ranking mechanisms. Furthermore, these mechanisms present performance, interoperability and integration issues that prevent the uptake of semantic technologies in these scenarios. In this work, we discuss three interrelated contributions on preference modeling, discovery optimization, and flexible, integrated ranking, tackling specifically the identified challenges on those areas using a lightweight approach. |
Identificador del proyecto | P12-TIC-1867
TIN2012-32273 TIC-5906 |
Cita | García Rodríguez, J.M. (2016). Improving semantic Web services discovery and ranking: A lightweight, integrated approach. AI Communications, 29 (1), 215-217. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Improving semantic Web.pdf | 257.7Kb | [PDF] | Ver/ | |