A fuzzy logic system to evaluate levels of trust on linked open data resources/ Un sistema de logica difusa para evaluar niveles de confianza en recursos de datos abiertos vinculados

Linked Data is a way of using the network by creating links among data from different information sources in order to improve search processes, semantic interoperability among other functionalities. One of the strategies used to perform linked resources queries is through the consumption of SPARQL E...

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Bibliographic Details
Published in:Revista Facultad de Ingeniería 2018-03 (86), p.40
Main Authors: Gaona-Garcia, Paulo Alonso, Herrera-Cubides, Jhon Francined, Alonso-Echeverri, Jorge Ivan, Riano-Vargas, Kevin Alexandre, Gomez-Acosta, Adriana Carolina
Format: Article
Language:Spanish
Subjects:
Analysis
Case studies
Decision making
Fuzzy logic
Open data
Online Access:Get full text
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Summary:Linked Data is a way of using the network by creating links among data from different information sources in order to improve search processes, semantic interoperability among other functionalities. One of the strategies used to perform linked resources queries is through the consumption of SPARQL Endpoints. However, to determine existent trust levels within and outside the knowledge domains where such resources are, the operation of these Endpoints is one of the critical factors for both to realize the state of these resources and their subsequent consumption. To recognize these states, the present article aims at exposing the description, modeling, implementation and analysis of a type-I fuzzy system based on logical rules. It also addresses decision-making regarding the uncertainty that presents the definition of levels of trust to determine the consumption obtained over a set of LOD Datasets Located in several Endpoints. Finally, it presents results, conclusions and further work from a case study performed through the postulation of parameters obtained at runtime over several Endpoints. KEYWORDS: Linked Open Data (LOD), Levels of Trust, Open Data Consumption, Fuzzy Logic, Fuzzy Systems Type I. Linked Data es una forma de utilizar la red creando links entre datos de diferentes fuentes de informacion con el proposito de enriquecer los procesos de busqueda, la interoperabilidad semantica, entre otras funcionalidades. Una de las estrategias utilizadas para llevar a cabo consultas de recursos vinculados es a traves del consumo de Endpoints SPARQL. No obstante, el funcionamiento de estos Endpoints es uno de los factores criticos para conocer el estado de estos recursos y su posterior consumo para determinar niveles de confianza que presentan de estos recursos dentro y fuera de los dominios de conocimiento desde donde se encuentran alojados. Para conocer estos estados, el presente articulo tiene como proposito plantear la descripcion, modelamiento, implementacion y analisis de un sistema difuso de tipo-I basado en reglas logicas, esta asimismo orientado a la toma de decisiones sobre la incertidumbre que presenta la definicion de niveles de confianza para determinar el consumo que se tiene sobre un conjunto de Datasets LOD alojados en diversos Endpoints. Finalmente, presenta resultados, conclusiones y trabajo futuro a partir de un caso de estudio realizado a traves de la postulacion de parametros obtenidos en tiempo de ejecucion sobre varios Endpoints. Datos e
ISSN:0120-6230