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Web service composition: a semantic web and automated planning technique application
Composición de servicios: una aplicación de la web semántica y las técnicas de planificación automática
DOI:
https://doi.org/10.15446/ing.investig.v28n3.15134Keywords:
semantic web, web service, intelligence artificial planning, semantic web composition services and incomplete information (en)web semántica, planificación en inteligencia artificial, composición de servicios web semánticos, información incompleta (es)
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This article proposes applying semantic web and artificial intelligence planning techniques to a web services composition model dealing with problems of ambiguity in web service description and handling incomplete web information. The model uses an OWL-S services and implements a planning technique which handles open world semantics in its reasoning process to resolve these problems. This resulted in a web services composition system incorporating a module for interpreting OWL-S services and converting them into a planning problem in PDDL (a planning module handling incomplete information) and an execution service module concurrently interacting with the planner for executing each composition plan service.
Este artículo propone la aplicación de técnicas de la web semántica y de planificación de la inteligencia artificial en un modelo de composición de servicios web que enfrenta los problemas de la ambigüedad en la descripción de los servicios y el manejo de la información incompleta en el contexto de la web. Para tratar los problemas mencionados el modelo permite el uso de servicios OWL-S e implementa una técnica de planificación que maneja una semántica del mundo abierto en su proceso de razonamiento. Como resultado de este trabajo, se obtuvo un sistema de composición de servicios web que incorpora un módulo que interpreta servicios OWL-S y los convierte a un problema de planificación en PDDL, un módulo de planificación que maneja el problema del conocimiento incompleto y un módulo de ejecución de servicios que interactúa de manera concurrente con el planificador para ejecutar cada uno de los servicios del plan de composición.
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1. Ingrid-Durley Ingrid-Durley, Jaime Guzmán-Luna. (2014). Applying Case-Based Learning to Improve the Efficiency in the Web Service Compositions. International Journal of Engineering and Technology, 6(3), p.227. https://doi.org/10.7763/IJET.2014.V6.702.
2. M A Adarme, M A Jimeno, E G Puerto. (2020). Web services selection a perspective of computational physics. Journal of Physics: Conference Series, 1587(1), p.012017. https://doi.org/10.1088/1742-6596/1587/1/012017.
3. M A Adarme, M A Jimeno, E G Puerto. (2020). A recursive pattern recognition approach to selection web services in cloud environment. Journal of Physics: Conference Series, 1513(1), p.012004. https://doi.org/10.1088/1742-6596/1513/1/012004.
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Copyright (c) 2008 Jaime Alberto Guzmán Luna, Demetrio Arturo Ovalle Carranza
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