Generating Semantic Snapshots of Newscasts Using Entity Expansion

textabstractTV newscasts report about the latest event-related facts occurring in the world. Relying exclusively on them is, however, insufficient to fully grasp the context of the story being reported. In this paper, we propose an approach that retrieves and analyzes related documents from the Web to automatically generate semantic annotations that provide viewers and experts comprehensive information about the news. We detect named entities in the retrieved documents that further disclose relevant concepts that were not explicitly mentioned in the original newscast. A ranking algorithm based on entity frequency, popularity peak analysis, and domain experts’ rules sorts those annotations to generate what we call Semantic Snapshot of a Newscast (NSS). We benchmark this method against a gold standard generated by domain experts and assessed via a user survey over five BBC newscasts. Results of the experiments show the robustness of our approach holding an Average Normalized Discounted Cumulative Gain of 66.6%

Deliverable D2.4 Annotation and retrieval module of media fragments

This deliverable presents an update of the LinkedTV metadata model as part of the WP2 of the LinkedTV project. It includes a set of mappings with other ontologies such as LUMO used in WP4. Second, we describe the converter module named TV2RDF, implemented as a REST service, that populates the LinkedTV triple store with RDF data resulting from the automatic conversion of legacy metadata provided by the content provider, of automatic analysis results generated by WP1, and of named entity recognition and disambiguation applied on subtitles provided with the content. Third, we describe the model and the service that aims to provide enrichments for particular media fragments of a seed video content. Finally, we present a number of useful SPARQL queries that are typically needed by the LinkedTV player or other clients that wish to reuse this semantic dataset

Desarrollo ético-cívico en el Aprendizaje-Servicio: un análisis desde la filosofía de la educación a través del pensamiento comunitarista de Amitai Etzioni

The growth of research and practice on Service-Learning has not been sufficiently wedded to a development of its theoretical foundations and the study of its contributions to ethical-civic education and the links of the school and the community. This study proposes an analysis of the contributions that Amitai Etzioni's communitarianism can make to the justification of this educational methodology in the current context and, more specifically, against the ultra-individualistic, utilitarian and mercantilist tendencies that blur the idea of community, starting from a moral dialogue, mutualism, social justice and community empowerment.El crecimiento de la investigación y la práctica sobre Aprendizaje-Servicio no ha venido suficientemente acompasado de un desarrollo de sus bases teóricas y el estudio de sus contribuciones a la formación ético-cívica y a la vinculación de la escuela con la comunidad. Este artículo propone un análisis de las aportaciones que el comunitarismo de Amitai Etzioni puede realizar a la justificación de esta metodología educativa en el contexto actual y, más concretamente, frente a las tendencias ultraindividualistas, utilitaristas y mercantilistas que difuminan la idea de comunidad, partiendo de un diálogo moral, el mutualismo, la justicia social y el empoderamiento comunitario

Augmenting TV Newscasts via Entity Expansion

htmlabstractWe present an approach that leverages on the knowledge present on the Web for identifying and enriching relevant items inside a News video and displaying them in a timely and user friendly fashion. This second screen prototype (i) collects and offers information about persons, locations, organizations and concepts occurring in the newscast, and (ii) combines them for enriching the underlying story along five main dimensions: expert’s opinions, timeline, in depth, in other sources, and geo-localized comments from other viewers. Starting from preliminary insights coming from the named entities spotted on the subtitles, we expand this initial context to a broader event representation by relying in the knowledge of other Web documents talking about the same fact. An online demo of the proposed solution is available at http://linkedtv. project.cwi.nl/news

Procesadores de bajo coste y su aplicación en la docencia de Ingeniería de Computadores

La Informática evoluciona a gran velocidad y es necesario actualizar con frecuencia los recursos de aprendizaje para mantener el interés de los estudiantes. En la actualidad, hay una gran diversidad de plataformas de cómputo de bajo coste que son utilizadas como recursos en los estudios de Informática. Raspberry Pi y algunos modelos de Arduino (como Arduino Due), ambas basadas en procesadores ARM, son ejemplos representativos de este tipo de plataformas. Las arquitecturas ARM son ejemplos de procesadores RISC que actualmente gozan de gran popularidad por su buena relación entre potencia computacional, consumo y coste. De hecho, constituyen el núcleo de muchos de los teléfonos móviles y sistemas empotrados actuales. Al estar tan cerca de los estudiantes, el uso de este tipo de recursos en el aula representa una oportunidad para: (1) motivar a los alumnos de Bachillerato y Educación Secundaria para estudiar el Grado de Informática y (2) potenciar el interés de los alumnos de Grado de Informática por la Ingeniería de Computadores. Existe una serie de eventos consolidados que tienen una gran difusión social. En ellos, se muestran vistosos ejemplos de aplicación y funcionamiento de este tipo de plataformas. En este trabajo se describen el conjunto de sistemas interactivos y basados en plataformas computacionales de bajo coste que se han desarrollado para ser utilizadas en este tipo de eventos. De acuerdo con nuestra experiencia de participación, creemos que están sirviendo para despertar el interés del alumno de secundaria por la Informática en general, y más específicamente por la Ingeniería de Computadores. Por otra parte, un porcentaje de los alumnos que cursan el Grado de Ingeniería Informática no está interesado en el análisis de los componentes hardware y de su organización para construir un computador moderno. Piensan que la asignatura de Arquitectura de Computadores del Grado en Ingeniería Informática está lejos de su futura actividad profesional. En este contexto, nos planteamos seleccionar ARM como arquitectura de referencia para desarrollar los contenidos de la asignatura de Arquitectura de Computadores. Creemos que esta decisión mejora el interés del alumno por dos motivos: (1) el objeto de estudio se usa en multitud de plataformas muy cotidianas para el alumno y (2) es posible diseñar las actividades prácticas de las asignaturas basadas en elementos reales y no únicamente virtuales. Este trabajo muestra las distintas actividades tanto a nivel teórico como práctico que se plantean al alumno en el marco de la asignatura Arquitectura de Computadores.Computer Science is advancing rapidly and it is necessary to keep the educational resources up to date in order to keep the interest of students. Nowadays, there is a wide variety of low-cost computing platforms that are used as educational resources in the Computer Science degree. Raspberry Pi and some models of Arduino (such as Arduino Due), which are both based on ARM processors, are representative examples of this kind of platforms. ARM architectures are instances of RISC processors which nowadays have reached an important popularity due to their good relation between performance, consumption and cost. In fact, they constitute the core of numerous current mobile phones and embedded systems. Considering their proximity to the students, the use of this kind of resources in the classroom is an opportunity to: (1) encourage the high schools pupils to study the Computer Science degree and (2) to increase the interest of the students for the Computer Engineering. There are several consolidated informational events of great social outreach in which different examples of application of this kind of platforms are shown. In this work, the set of interactive systems designed to be used in this kind of events is described. According to our experience, we think that they arouse the interest of high schools pupils for the Computer Science in general, and, more specifically, for the Computer Engineering. Furthermore, a percentage of the students of the Computer Science degree is not interested in the analysis of hardware components and the architecture of modern computers. They think that the subject of Computer Architecture of the Computer Science Degree is far from his/her future career. In this context, we will select ARM as a reference architecture where the contents of the subject Computer Architecture will be developed on. We think this might improve the motivation of the students mainly for two reasons: (1) the object of study is being used in a lot of modern platforms; and (2) it is possible to design the practical activities of the subjects using real platforms and not only virtual ones. This work shows the activities proposed to the students in the context of the subject Computer Architecture, considering both practical and theoretical approaches

Deliverable D2.2 Specification of lightweight metadata models for multimedia annotation

This deliverable presents a state-of-art and requirements analysis report for the LinkedTV metadata model as part of the WP2 of the LinkedTV project. More precisely, we first provide a comprehensive overview of numerous multimedia metadata formats and standards that have been proposed by various communities: broadcast industry, multimedia analysis industry, news and photo industry, web community, etc. Then, we derive a number of requirements for a LinkedTV metadata model. Next, we present what will be the LinkedTV metadata ontology, a set of built-in classes and properties added to a number of well-used vocabularies for representing the different metadata dimensions used in LinkedTV, namely: legacy metadata covering both broadcast information in the wide sense and content metadata and multimedia analysis results at a very fine grained level. We finally provide a set of useful SPARQL queries that have been evaluated in order to show the usefulness and expressivity of our proposed ontology

A parallel genetic algorithm for continuous and pattern-free heliostat field optimization

The heliostat field of a solar power tower system, considering both its deployment cost and potential energy loss at operation, must be carefully designed. This procedure implies facing a complex continuous, constrained and large-scale optimization problem. Hence, its resolution is generally wrapped by extra distribution patterns or layouts with a reduced set of parameters. Griding the available surface is also an useful strategy. However, those approaches limit the degrees of freedom at optimization. In this context, the authors of this work are working on a new meta-heuristic for heliostat field opti- mization by directly addressing the underlying problem. Attention is also given to the benefits of modern High-Performance Computing (HPC) to allow a wider exploration of the search-space. Thus, a parallel genetic optimizer has been designed for direct heliostat field optimization. It relies on elitism, uniform crossover, static penalization of infeasible solutions and tournament selection

Hector, a new methodology for continuous and pattern-free heliostat field optimization

In the framework of central receiver solar plants, the heliostat field can take up to 50% of the initial investment and cause up to 40% of energy loss. The most popular design strategies are based on: (i) forcing heliostats to follow known distribution patterns and (ii) iterative selection of positions. However, these methods might produce suboptimal solutions. The evolution of computational platforms allows the development of more flexible approaches. In this work, Hector, a new meta-heuristic aimed at facilitating coordinate-based optimization, is presented. First, since East-West symmetry is imposed, one of those regions is ignored and the number of heliostats to be placed is halved. Second, the selected region is split into separate circular sectors around the receiver. Next, at every iteration, a new heliostat is added to the most promising sector. Then, it is optimized by a user-selected algorithm, as an independent problem, in a continuous search-space. This procedure is repeated until all the required heliostats have been deployed. The computed half is finally cloned into the other one. Two versions of this strategy are proposed. Our empirical results show that, for a given optimizer, better fields are obtained with Hector. The second version yields the best fields but requires more runtime

Clinical utility of intralesional methotrexate to distinguish crateriform keratinocytic tumors before surgery

Clinical utility of intralesional methotrexate to distinguish crateriform keratinocytic tumors before surgeryDear Editors,Keratoacanthoma (KA) and cutaneous squamous cell carci-noma (CSCC) may adopt an identical crateriform morpho-logy. Nowadays, the debate about whether KA is a distinct entity, or a low-grade variant of cutaneous squamous cell carcinoma (CSCC) still persists. Since CSCC is a more ag-gressive neoplasm, misdiagnosing crateriform lesions may have a negative impact on the patient's prognosis. Evaluating a partial biopsy is extremely challenging to confidently dis-tinguish KA from CSCC [1]. No distinctive gene expression profiles have been identified and no pathognomonic criteria to unequivocally differentiate between KA and CSCC exist [2]. Consequently, the surgical approach remains the gold standard in the management of crateriform tumors, especi-ally those arising on the face

Asymmetric Dark Matter and Dark Radiation

Asymmetric Dark Matter (ADM) models invoke a particle-antiparticle asymmetry, similar to the one observed in the Baryon sector, to account for the Dark Matter (DM) abundance. Both asymmetries are usually generated by the same mechanism and generally related, thus predicting DM masses around 5 GeV in order to obtain the correct density. The main challenge for successful models is to ensure efficient annihilation of the thermally produced symmetric component of such a light DM candidate without violating constraints from collider or direct searches. A common way to overcome this involves a light mediator, into which DM can efficiently annihilate and which subsequently decays into Standard Model particles. Here we explore the scenario where the light mediator decays instead into lighter degrees of freedom in the dark sector that act as radiation in the early Universe. While this assumption makes indirect DM searches challenging, it leads to signals of extra radiation at BBN and CMB. Under certain conditions, precise measurements of the number of relativistic species, such as those expected from the Planck satellite, can provide information on the structure of the dark sector. We also discuss the constraints of the interactions between DM and Dark Radiation from their imprint in the matter power spectrum.Comment: 22 pages, 5 figures, to be published in JCAP, minor changes to match version to be publishe