https://hdl.handle.net/11000/461 Wed, 15 Apr 2026 07:55:03 GMT 2026-04-15T07:55:03Z https://hdl.handle.net/11000/39006 Título : Deciphering functional annotation of multiple gene sets with MOTVIS Autor : Ayllón-Benítez, Aarón; Mougin, Fleur; Quesada-Martínez, Manuel; Fernández-Breis, Jesualdo Tomás; Bourqui, Romain; Thebault, Patricia Notas: Marseille, 2018. Fri, 23 Jan 2026 09:52:47 GMT https://hdl.handle.net/11000/39006 2026-01-23T09:52:47Z https://hdl.handle.net/11000/39005 Título : Tecnologías para el Modelado, Procesamiento y Gestión de Conocimiento Autor : Fernández-Breis, Jesualdo Tomás; Menárguez-Tortosa, Marcos; Martínez-Costa, Catalina; Miñarro-Giménez, José Antonio; Legaz-García, María del Carmen; Quesada-Martínez, Manuel; Duque-Ramos, Astrid; Esteban-Gil, Ángel; Castellanos-Nieves, Dagoberto Resumen : El grupo de investigación Tecnologías para el Modelado, Procesamiento y Gestión de Conocimiento lleva quince años investigando, desarrollando y aplicando tecnologías semánticas en dominios biomédicos. En este trabajo se describen las líneas de investigación más relevantes en las que hemos trabajado en los últimos años, y cuyo objetivo principal es la consecución de interoperabilidad semántica entre sistemas de información sanitarios. Asimismo, también se comentarán objetivos de investigación para los próximos años en los que las técnicas inteligentes desempeñarán un papel importante. Fri, 23 Jan 2026 09:52:10 GMT https://hdl.handle.net/11000/39005 2026-01-23T09:52:10Z https://hdl.handle.net/11000/39004 Título : Towards the semantic enrichment of Computer Interpretable Guidelines: a method for the identification of relevant ontological terms Autor : Quesada-Martínez, Manuel; Marcos, Mar; Abad-Navarro, Francisco; Martínez-Salvador, Begoña; Fernández-Breis, Jesualdo Tomás Resumen : Clinical Practice Guidelines (CPGs) contain recommendations intended to optimize patient care, produced based on a systematic review of evidence. In turn, Computer-Interpretable Guidelines (CIGs) are formalized versions of CPGs for use as decision-support systems. We consider the enrichment of the CIG by means of an OWL ontology that describes the clinical domain of the CIG, which could be exploited e.g. for the interoperability with the Electronic Health Record (EHR). As a first step, in this paper we describe a method to support the development of such an ontology starting from a CIG. The method uses an alignment algorithm for the automated identification of ontological terms relevant to the clinical domain of the CIG, as well as a web platform to manually review the alignments and select the appropriate ones. Finally, we present the results of the application of the method to a small corpus of CIGs. Notas: PubMed - PMCID: https://pmc.ncbi.nlm.nih.gov/articles/PMC6371308/ Fri, 23 Jan 2026 09:51:25 GMT https://hdl.handle.net/11000/39004 2026-01-23T09:51:25Z https://hdl.handle.net/11000/39003 Título : Teaching the sequential programming concept using a robotic arm in an interactive museum Autor : Botella, Federico; Peñalver, Antonio; Quesada-Martínez, Manuel; Bermejo, Fulgencio; Borrás, Fernando Resumen : Technology and Computer Science are increasingly present in today's education and teaching programming is not only restricted to students interested in Science, Technology, Engineering and Maths (STEM) disciplines, as computational thinking is useful in many day-to-day problems. In this paper we study how students of high school can put in practice transversal concepts by learning the sequential programming concept. We analyze their learning process by asking them to code a simple program that solves a concrete problem: perform simple and immersive tasks using a physical robot in an interactive museum. The experiment offers us some results that should be confirmed with more participants, but it seems that the ages from 13 to 15 years old are crucial to gain knowledge and skills to apply concepts of their studies on using sequential programming to interact with a robotic arm. Fri, 23 Jan 2026 09:50:52 GMT https://hdl.handle.net/11000/39003 2026-01-23T09:50:52Z https://hdl.handle.net/11000/39002 Título : Assessing Ontology Quality with QASAR Autor : Nicolás-Martínez, Gonzalo; Abad-Navarro, Francisco; Quesada-Martínez, Manuel; Duque-Ramos, Astrid; Juanes-Cortés, Belén; Fernández-Breis, Jesualdo Tomás Resumen : Ontologies are foundational for enabling semantic interoperability, data integration, and knowledge sharing across a broad spectrum of domains, including biomedicine, engineering, and the social sciences. As their adoption continues to grow, so too does the need for robust methods to ensure their quality. Despite the development of a range of quality assurance frameworks and methodologies aimed at evaluating various aspects of ontology quality, the practical application of these methods remains fragmented. In this demonstration, we present QASAR, a novel, integrated quality assurance tool designed to bridge this gap. QASAR consolidates several QA methodologies developed by our team into a unified, user-friendly platform. The system supports a broad set of quality dimensions and alignment with best practices and community standards. By offering automated analyses, interactive reports, and guided recommendations, QASAR enables both novice and experienced ontology developers to iteratively improve their ontologies with greater ease and confidence. Through this tool, we aim to promote the creation of higher-quality ontologies and foster broader adoption of quality assurance practices within the ontology engineering lifecycle. QASAR represents a step forward in operationalizing ontology quality assurance by providing a streamlined and accessible environment for comprehensive ontology evaluation. Fri, 23 Jan 2026 09:50:12 GMT https://hdl.handle.net/11000/39002 2026-01-23T09:50:12Z https://hdl.handle.net/11000/37443 Título : Evaluation of Time-Series Models for Evapotranspiration Prediction in Smart Agriculture Autor : González Espinosa, Martín; Sánchez, Virginia; Calafate, Carlos; López Espín, José J.; Cecilia, José M. Resumen : —Evapotranspiration (ET0)—the sum of evaporation and plant transpiration—is a key variable for optimizing water use in precision agriculture. With increasing challenges due to climate change and water scarcity, accurate ET0 forecasting is essential for designing efficient irrigation systems that enhance productivity while conserving resources. This study evaluates advanced time-series models for ET0 forecasting—Nixtla TimeGPT1, Long Short-Term Memory Networks (LSTM), and Kolmogorov–Arnold Networks (KAN)—using IoT data from Campo de Cartagena (Murcia, Spain). Results show that KAN achieves superior performance for multi-step forecasting (MSE: 0.045), while Nixtla Linear excels in one-step predictions (MSE: 0.009). These findings provide practical insights into model selection for adaptive irrigation strategies under diverse climatic conditions. Wed, 17 Sep 2025 12:44:23 GMT https://hdl.handle.net/11000/37443 2025-09-17T12:44:23Z https://hdl.handle.net/11000/31489 Título : Performance studio of multicast video streaming using SRMSH Autor : Martinez Bonastre, Oscar; Palau, Carlos E. Resumen : With the increasing deployment of multimedia real-time Internet applications, evaluating transport protocol metrics of Quality of Service (QoS) has gained rapidly increasing importance. In this paper, a novelty protocol named Scalable Reliable Multicast Stair Hybrid (SRMSH) is presented as new hybrid multiple layer mechanism for multicast congestion control providing detection and recovery loss. Then SRMSH is simulated with video streaming traffic source to measure fundamental components to real-time multimedia applications: Throughput, latency and jitter. Work is focused on performance analysis and results obtained from NS-2 traces clearly conclude that SRMSH exhibits interesting insights using these metrics of real-time multimedia applications. Tue, 20 Feb 2024 14:22:05 GMT https://hdl.handle.net/11000/31489 2024-02-20T14:22:05Z https://hdl.handle.net/11000/31488 Título : A collaborative mobile architecture for multicast live-streaming social networks Autor : Martinez Bonastre, Oscar; Palau, Carlos E. Resumen : Multimedia social network analysis is an emerging research area, which analyzes the behaviour of users who share multimedia content and investigates the impact of human dynamics on multimedia systems. In collaborative mobile networks, receivers cooperate with each other to provide a distributed, highly scalable and robust platform for live streaming applications. However, every user wishes to use as much bandwidth as possible to receive a high-quality video; then, congestion control should be addressed. This paper proposes a collaborative mobile architecture to model receiver (in this case user) behaviour using congestion control and reliable strategies to stimulate user cooperation in multicast live streaming. Thus, an author´s protocol named Scalable Reliable Multicast Stair Hybrid (SRMSH) is presented as new hybrid multiple layer mechanism for multicast congestion control providing detection and recovery loss. Simulation results show that the proposed strategies can effectively stimulate user cooperation, achieve cheat free and provide reliable services within a mobile multimedia social network. Tue, 20 Feb 2024 14:09:25 GMT https://hdl.handle.net/11000/31488 2024-02-20T14:09:25Z https://hdl.handle.net/11000/31468 Título : iTETRIS: Adaptation of ITS Technologies for Large Scale Integrated Simulation Autor : Kumar, Vineet; Krajzewicz, Daniel; Hrizi, Fatma; Martinez Bonastre, Oscar; Gozalvez, Javier; Bauza, Ramon Resumen : The European Union (EU) Framework Program 7 (FP7) funded project, iTETRIS (An Integrated Wireless and Traffic Platform for Real-Time Road Traffic Management Solutions) targets to extend state of art in simulation of wireless vehicular cooperative systems for evaluation of road traffic management services and applications. In particular, iTETRIS addresses four important and distinct challenges: (a) road traffic and wireless integrated open-source simulation platform, (b) large scale trials, (c) realistic Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communication simulation and (d) dynamic, distributed and self-autonomous Intelligent Transport Systems (ITS) applications based on cooperative systems. iTETRIS will provide a standard compliant, open-source integrated communication and traffic platform suited for large scale scenario simulation. This Paper addresses extension of traffic simulator being used in iTETRIS, scalability studies of networking simulator, which have been achieved as project results. Further the paper presents the adaptation of the Intelligent Communications for Transport Systems (ICTS) reference architecture functionalities being developed by the European Telecommunication Standard Institute (ETSI) at its Technical Committee (TC) on ITS. Mon, 19 Feb 2024 12:21:53 GMT https://hdl.handle.net/11000/31468 2024-02-19T12:21:53Z https://hdl.handle.net/11000/31459 Título : Promoting game theory techniques for targeted advertisements for Social TV business models Autor : Martinez Bonastre, Oscar; Sanchez-Soriano, Joaquin; Neville, Stephen A.; Lopez, Francisco Resumen : In this work the authors assess the main stakeholders involved in using Internet Protocol Television (IPTV) from the perspective of how users can interact in a business model that will be mutually beneficial to all. Then, Social TV is well placed to leverage the benefits to both business players and end users in an advertising business model that will be summarized by authors using game theory techniques. Mon, 19 Feb 2024 11:52:52 GMT https://hdl.handle.net/11000/31459 2024-02-19T11:52:52Z