In this paper a cross-disciplinary study of the use of epistemic markers as hedging rhetorical strategies in research articles in English is carried out. Based on computer readable data, and combining quantitative and
qualitative methods, the article argues that the…

Design and optimization of distillation columns for ethanol dehydration, using a hydrocarbon as entrainer, implies a good knowledge of vapor-liquid (VLE), liquid-liquid (LLE) and vapor-liquid-liquid equilibrium (VLLE). Chemical process simulation programs always require the use of a thermodynamic model that…

Recently, existing design methodologies targeting traditional Web applications have been extended for Rich Internet Application modeling support. These extended methodologies currently cover the traditionally well-established design concerns, i.e. data and navigation design, and provide additional focus on user interaction and…

Nutrigenomics covers disparate fields of nutrition science and has been defined in many different ways. In fact, this emerging field of science has multiple facets, many of which do not generate the same ethical issues. In particular, different ethical issues…

Organizations must establish processes for managing knowledge across boundaries because of the specialized and task-dependent forms of knowledge required to deliver products and services. To address this challenge an integrative framework is developed that identifies and integrates the value of…

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This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use ot…

We show how to interoperate, semantically and inferentially, between the leading Semantic Web approaches to rules (RuleML Logic Programs) and ontologies (OWL/DAML+OIL Description Logic) via analyzing their expressive intersection. To do so, we define a new intermediate knowledge representation (KR)…

This paper analyzes the suitability of reinforcement learning (RL) for both programming and adapting situated agents. We discuss two RL algorithms: Q-learning and the Bucket Brigade. We introduce a special case of the Bucket Brigade, and analyze and compare its…

Reverse logistics activities require the ability to generate new knowledge to reduce high uncertainty and to solve problems resulting of these activities. In this sense the purpose of this research is to understand how the modes of knowledge conversion (Nonaka…