The past twenty years has seen growing academic and policy interest in the role of SMEs within a global context. There has been much debate surrounding the negative impact of globalisation on the international SME arising from increased competitive pressures.…

In order to deal with the Ontology Change problem and considering an environment where Description Logics (DLs) are used to describe ontologies, the question of how to integrate distributed ontologies appears to be in touch with Belief Revision since DL…

Durante las pasadas dos décadas,
las personas que han realizado estudios
sobre enfermería han contribuido
con grandes cantidades de conocimientos
que han ayudado a mejorar
inmensamente la práctica clínica y los
resultados de salud. Una manera de
actualizar estos estudios…

Designed to provide an introductory grounding in Typography, The Complete Typographer teaches the essentials for the effective use of type - technical expertise and historical knowledge, an understanding of the functional and aesthetic qualities of different typefaces, and the organization…

Building on the strength of the first edition, Quantitative Methods for Business and Economics provides a simple introduction to the mathematical and statistical techniques needed in business. This book is accessible and easy to use, with the emphasis clearly on…

When training hidden-Markov-model-based part-of-speech (PoS) taggers involved in machine translation systems in an unsupervised manner the use of target-language information has proven to give better results than the standard Baum-Welch algorithm. The target-language-driven training algorithm proceeds by translating every possible…

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This paper describes the development of an image retrieval
system that combines probabilistic and ontological information1. The
process is divided in two different stages: indexing and retrieval. Three
information flows have been created with different kind of information
each one:…

The ability of building robust semantic space representations of environments is crucial for the development of truly autonomous robots. This task, inherently connected with cognition, is traditionally achieved by training the robot with a supervised learning phase. We argue that…

Since huge amounts of spatial data can be easily collected from various applications, ranging from remote sensing technology to geographical information system, the extraction and comprehension of spatial knowledge is a more and more important task. Many excellent studies on…