Sistema de Manipulación Remota de Robots Arduino por Medio de Servicios Web Semánticos

Este artículo presenta la implementación de un sistema basado en servicios web semánticos, orientados hacia la manipulación remota de robots capaces de ejecutar jugadas básicas de fútbol, diseñados y desarrollados con la plataforma de hardware libre Arduino. Dichos servicios fueron descritos semánticamente con el lenguaje ontológico OWL-S y bajo una ontología de dominio común que describe un robot capaz de jugar fútbol

On the integration of trust with negotiation, argumentation and semantics

Agreement Technologies are needed for autonomous agents to come to mutually acceptable agreements, typically on behalf of humans. These technologies include trust computing, negotiation, argumentation and semantic alignment. In this paper, we identify a number of open questions regarding the integration of computational models and tools for trust computing with negotiation, argumentation and semantic alignment. We consider these questions in general and in the context of applications in open, distributed settings such as the grid and cloud computing. © 2013 Cambridge University Press.This work was partially supported by the Agreement Technology COST action (IC0801). The authors would like to thank for helpful discussions and comments all participants in the panel on >Trust, Argumentation and Semantics> on 16 December 2009, Agia Napa, CyprusPeer Reviewe

Scalable authoritative owl reasoning for the web

In this article the authors discuss the challenges of performing reasoning on large scale RDF datasets from the Web. Using ter-Horst's pD* fragment of OWL as a base, the authors compose a rule-based framework for application to web data: they argue their decisions using observations of undesirable examples taken directly from the Web. The authors further temper their OWL fragment through consideration of "authoritative stheirces" which counter-acts an observed behavitheir which we term "ontology hijacking": new ontologies published on the Web re-defining the semantics of existing entities resident in other ontologies. They then present their system for performing rule-based forward-chaining reasoning which they call SAOR: Scalable Authoritative OWL Reasoner. Based upon observed characteristics of web data and reasoning in general, they design their system to scale: the system is based upon a separation of terminological data from assertional data and comprises of a lightweight in-memory index, on-disk sorts and file-scans. The authors evaluate their methods on a dataset in the order of a hundred million statements collected from real-world Web stheirces and present scale-up experiments on a dataset in the order of a billion statements collected from the Web. [Article copies are available for purchase from InfoSci-on-Demand.com

On Web-scale Reasoning

Bal, H.E. [Promotor]Harmelen, F.A.H. van [Promotor