Federico Castanedo's research while affiliated with University of Deusto and other places
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Publications (3)
OWL ontologies have gained great popularity as a context modelling tool for intelligent environments due to their expressivity. However, they present some disadvantages when it is necessary to deal with uncertainty, which is common in our daily life and affects the decisions that we take. To overcome this drawback, we have developed a novel framewo...
The integration of data and knowledge from several sources is known as data fusion. This paper summarizes the state of the data fusion field and describes the most relevant studies. We first enumerate and explain different classification schemes for data fusion. Then, the most common algorithms are reviewed. These methods and algorithms are present...
The increasing lifetime and population of elderly people leads to a great amount of interest in Ambient Assisted Living (AAL) environments and applications. An AAL environment could be modeled by ontologies and using a semantic reasoner as a way to infer knowledge about the underlying context. An important question is to clarify the feasibility of...
Citations
... Domain experts are quite adept at generating new hypotheses based on exploratory analysis: when performing decision making, they (i) understand abstract concepts and their semantics, and (ii) when confronted with incomplete knowledge, explore relevant knowledge both from personal experience, direct health observations, and validated clinical guidelines. Indeed, reasoning under uncertainty and incompleteness is an irresolvable part of clinical decision making [7]. This stands in contrast to knowledge-centric decision support systems, which typically require a complete knowledge base outfitted with deductive reasoning processes. ...
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... Fusion of the filtered signals. There are several approaches to sensor fusion [3], the most common of which is probably the Kalman filter [4] or the application of the inverse-variance-weighting [5]. The latter will be used here because of its relative simplicity. ...
