Adaptive systems behavior based on user models appear promising, mostly for complex environments such as mixed reality environments (MRE).
An MRE comprises a virtual representation of the reality as well as physical objects augmented with virtual features. These objects are…

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La crisis del pensar atraviesa casi todas las categorías fundantes
de la modernidad. El paradigma, como sistema de signifi caciones, ya parece
no servir para dar respuestas y Lanz (2005) se pregunta si será posible pensar
sin esta categoría. Este…

This work describes the ontology construction process for the development of an Intelligent System for the Organization and Retrieval of Knowledge in Biodiversity – SISBIO. The system aims at the production of strategic information for the biofuel chain Two main…

Classical knowledge production is an author-centered process. The emergence of cooperative internet technologies such as wikis or blogs shows a shift towards stronger cooperative production and communication of knowledge, closing the gap between readers and authors. The incorporation of such…

El uso de Internet con fines educativos, además de muchos beneficios, posee limitaciones. Frente a esta situación, el docente universitario
debe estar consciente de su formación y desempeño enlaintegración apropiada de Internet alcampo educativo. En este ensayo se
realiza una…

We develop a theory to explain the transition from stagnation to modern growth. We focus on the forces that shaped the evolution of total factor productivity in agriculture and manufacturing across history. More specifically, we build a multisector model of…

Los modelos de ciclo de vida actuales tienden a presentar, normalmente, cierta linealidad en su dinámica asociada. El presente trabajo tiene por objetivo, a través de interrelacionar diversas áreas del conocimiento, mostrar que el continuum, casi siempre, no se corresponde…

Associating the pattern in text data with the pattern with time series data is a novel task. In this paper, an approach that utilizes the features of the time series data and domain knowledge is proposed and used to identify…

This article introduces an approach to anomaly intrusion detection based on a combination of supervised and unsupervised machine learning algorithms. The main objective of this work is an effective modeling of the TCP/IP network traffic of an organization that allows…