The Knowledge Engineering Suite is an ontology production method, based on relationship networks, for knowledge representation inside specific contexts. The production of these ontologies has three basic steps, since catching the client data, knowledge base creation, and information retrieval and…

The knowledge imperfections should be considered when modeling complex problems. A solution is to develop a model that reduces the complexity and another option is to represent the imperfections: uncertainty, vagueness and incompleteness in the knowledge base. This paper proposes…

Most of the current wireless sensor networks are built for specific applications, with a tight coupling between them and the underlying communication protocols. We present a more flexible architectural approach for building WSNs, in which application-specific features are decoupled from…

Actualmente y ante la gran movilidad geográfica
a la que asisten las distintas sociedades,
se hace necesario un mayor conocimiento
de las semejanzas y diferencias culturales
de dichos grupos étnicos por parte de las organizaciones
y los programas sanitarios, así…

El problema que da origen a este desarrollo se debe a la dificultad que tienen los estudiantes al abordar el tema de la robótica utilizando los materiales bibliográficos y las explicaciones teóricas. Por este motivo, se pensó en un software…

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It is interesting and important to compare, analyze and assess the alternative tools that could be used in the area of Knowledge Representation. In this paper we present a reasearch line associated to this goal: to formally establish the relation…

The reform of Spanish University System occurs for allow that the universities to board the needs derived from the new kinds of knowledge generation and transmission. The university’s objective is the formation of professionals capable of taking, analysing and elaborating…

This paper proposes an original generic hierarchical framework in order to facilitate the modeling stage of complex autonomous robotics mission planning problems with action uncertainties. Such stochastic planning problems can be modeled as Markov Decision Processes [5]. This work is…

Given an instance of an optimization problem together with an optimal solution, we consider the scenario in which this instance is modified locally. In graph problems, e. g., a singular edge might be removed or added, or an edge weight…