Donostia / San Sebastián, Spain
Donostia / San Sebastián, Spain

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Sanchez E.,Vicomtech 4 Research Center | Toro C.,Vicomtech 4 Research Center | Carrasco E.,Vicomtech 4 Research Center | Bueno G.,University of Castilla - La Mancha | And 4 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2011

Clinical Decision Support Systems (CDSS) are useful tools that aid physicians during different tasks such as diagnosis, treatment and patient monitoring. Multidisciplinary, heterogeneous and disperse clinical information and decision criteria have to be handled by CDSSs. For such tasks, Knowledge Engineering (KE) techniques and semantic technologies are very suitable, as they support (i) the integration of heterogeneous knowledge, (ii) the expression of rich and well-defined models for knowledge aggregation, and (iii) the application of logic reasoning for the generation of new knowledge. In this paper we propose a generic architecture of a CDSS based on semantic technologies, which also considers the reutilization and enhancement of former CDSS in an organization. Particularly, an implementation of the proposed architecture is also presented, aiming to support the early diagnosis of AD. © 2011 Springer-Verlag.


Szczerbicki E.,University of Newcastle | Grana M.,University of the Basque Country | Posada J.,Vicomtech 4 Research Center | Toro C.,Vicomtech 4 Research Center
Cybernetics and Systems | Year: 2013

The special edition of Cybernetics and Systems contains selected and reviewed papers that expand significantly on topics covered by some conferences on knowledge engineering and smart knowledge-based systems design and development. The selection enhances efforts toward intelligent systemic approaches researched in this area of new, innovative, and significant developments that can be of great interest to cybernetics and systems science professionals. The authors of the paper titled 'Impact of Reflexive Ontologies in Semantic Clinical Decision Support Systems' introduce reflex ontologies (ROs) as a novel approach intended to reduce time consumption problems while providing as a result a fast reaction from ontology-based applications. The presented real-life application is a case study for a knowledge-based clinical decision support system for the diagnosis of Alzheimer's disease.


Serras M.,Vicomtech 4 Research Center | Perez N.,Vicomtech 4 Research Center | Ines Torres M.,University of the Basque Country | Del Pozo A.,Vicomtech 4 Research Center | Justo R.,University of the Basque Country
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2015

Using dialog systems to automatize customer services is becoming a common practice in many business fields. These dialog systems are often required to relate the users’ issues with a department of the company, which is especially hard when each department covers a wide range of topics. This paper proposes an entropy-based classifier to support the dialog system’s dialog manager in the decision-making. As the classifier is implemented in a feedback-available scenario, an extra class has been inserted with which uncertain cases are labeled, in order to retrieve more information from the user. This way, robust decisions are always ensured. The classifier’s input is the sequence of semantic units decoded from the user turn, extracted from technical records in this paper. This allows the designers to introduce domain specific knowledge and reduce the classifier’s workload. Experiments show that the classifier achieves a high precision, slightly improving some SVM and Bayes classifiers. © Springer International Publishing Switzerland 2015.


PubMed | University of Newcastle, Vicomtech 4 Research Center and University of the Basque Country
Type: | Journal: Studies in health technology and informatics | Year: 2014

Decision recommendations are a set of alternative options for clinical decisions (e.g. diagnosis, prognosis, treatment selection, follow-up and prevention) that are provided to decision makers by knowledge-based Clinical Decision Support Systems (k-CDSS) as aids. We propose to follow a reasoning over domain approach for the generation of decision recommendations, by gathering and inferring conclusions from production rules. In order to rationalize our approach we present a specification that will sustain the logic models supported in the Knowledge Bases we use for persistence. We introduce first the underlying knowledge model and then the necessary extensions that will convey towards the solution of the reported needs. The starting point of our approach is the work of Toro et al. [13] on Reflexive Ontologies (RO). We also propose an extension of RO, by including the handling and reasoning that production rules provide. Our approach speeds-up the recommendation generation process.


Barrena N.,Vicomtech 4 Research Center | Navarro A.,Vicomtech 4 Research Center | Oyarzun D.,Vicomtech 4 Research Center
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2016

This paper describes the results of a R&D project focused on the creation of a flexible and easy-to-use platform for creating advanced multimedia applications, with strong focus on education and leisure contexts. Most of the similar existing platforms lack of enough flexibility to create different kind of content, or they require a strong technical background for authoring applications. In this project, a balance between flexibility and easiness has been fulfilled. Several use cases, whose authors have different levels of technical background, have been defined to validate it. © Springer International Publishing Switzerland 2016.


Diez H.V.,Vicomtech 4 Research Center | Segura A.,Vicomtech 4 Research Center | Garcia-Alonso A.,Vicomtech 4 Research Center | Oyarzun D.,Vicomtech 4 Research Center
Multimedia Tools and Applications | Year: 2016

This paper contributes to the efficient visualization and management of 3D content for e-commerce purposes. The main objective of this research is to improve the multimedia management of complex 3D models, such as CAD or BIM models, by simply dragging a CAD/BIM file into a web application. Our developments and tests show that it is possible to convert these models into web compatible formats. The platform we present performs this task requiring no extra intervention from the user. This process makes sharing 3D content on the web immediate and simple, offering users an easy way to create rich accessible multiplatform catalogues. Furthermore, the platform enables users to view and interact with the uploaded models on any WebGL compatible browser favouring collaborative environments. Despite not being the main objective of this work, an interface with search engines has also been designed and tested. It shows that users can easily search for 3D products in a catalogue. The platform stores metadata of the models and uses it to narrow the search queries. Therefore, more precise results are obtained. © 2016 Springer Science+Business Media New York


Garcia-Pablos A.,Vicomtech 4 Research Center | Cuadros M.,Vicomtech 4 Research Center | Rigau G.,IXA Group
Procesamiento de Lenguaje Natural | Year: 2015

Sentiment analysis is the area of Natural Language Processing that aims to determine the polarity (positive, negative, neutral) contained in an opinionated text. A usual resource employed in many of these approaches are the so-called polarity lexicons. A polarity lexicon acts as a dictionary that assigns a sentiment polarity value to words. In this work we explore the possibility of automatically generating domain adapted polarity lexicons employing continuous word representations, in particular the popular tool Word2Vec. First we show a qualitative evaluation of a small set of words, and then we show our results in the SemEval-2015 task 12 using the presented method. © 2015 Sociedad Española para el Procesamiento del Lenguaje Natural.


Toro C.,Vicomtech 4 Research Center | Barandiaran I.,Vicomtech 4 Research Center | Posada J.,Vicomtech 4 Research Center
Procedia Computer Science | Year: 2015

A worldwide trend in advanced manufacturing countries is defining Industrie 4.0, Industrial Internet and Factories of the Future as a new wave that can revolutionize the production and its associated services. Cyber-Physical Systems (CPS) are central to this vision and are entitled to be part of smart machines, storage systems and production facilities able to exchange information with autonomy and intelligence. Such systems should be able to decide and trigger actions, and control each other independently and for such reason it is required the use of Knowledge based and intelligent information approaches. In this paper we present our perspective on how to support Industrie 4.0 with Knowledge based and intelligent systems. We focus in the conceptual model, architecture and necessary elements we believe are required for a real world implementation. We base our conceptualization in the experiences gathered during the participation in different ongoing research projects where the presented architecture is being implemented. © 2015 The Authors. Published by Elsevier B.V.


Diez H.V.,Vicomtech 4 Research Center | Garcia S.,Vicomtech 4 Research Center | Sanchez J.R.,Vicomtech 4 Research Center | Del Puy Carretero M.,Vicomtech 4 Research Center
Proceedings - Web3D 2013: 18th International Conference on 3D Web Technology | Year: 2013

The goal of the work presented in this paper is to develop a 3D web based online tutoring system that enhances the motivation and cognitive development of students. To achieve this, a virtual assistant will be integrated to the e-learning platform; this 3D modeled e-tutor will evaluate each student individually, it will react to their learning progress by empathetic gestures and it will guide them through the lectures according to their personal needs. The accomplishment of these tasks will imply a thorough study of the latest techniques on artificial intelligence, multi-agent architectures and their representation by means of 3D emotional avatars. Copyright © ACM 978-1-4503-2133-4/13/06 $15.00.


PubMed | Vicomtech 4 Research Center
Type: | Journal: Studies in health technology and informatics | Year: 2014

In this work we present a system that uses the accelerometer embedded in a mobile phone to perform activity recognition, with the purpose of continuously and pervasively monitoring the users level of physical activity in their everyday life. Several classification algorithms are analysed and their performance measured, based for 6 different activities, namely walking, running, climbing stairs, descending stairs, sitting and standing. Feature selection has also been explored in order to minimize computational load, which is one of the main concerns given the restrictions of smartphones in terms of processor capabilities and specially battery life.

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