Onyx: describing emotions on the web of data

There are several different standardised and widespread formats to represent emotions. However, there is no standard semantic model yet. This paper presents a new ontology, called Onyx, that aims to become such a standard while adding concepts from the latest Semantic Web models. In particular, the ontology focuses on the representation of Emotion Analysis results. But the model is abstract and inherits from previous standards and formats. It can thus be used as a reference representation of emotions in any future application or ontology. To prove this, we have translated resources from EmotionML representation to Onyx. We also present several ways in which developers could benefit from using this ontology instead of an ad-hoc presentation. Our ultimate goal is to foster the use of semantic technologies for emotion Analysis while following the Linked Data ideals

MAIA: an event-based modular architecture for intelligent agents

Online services are no longer isolated. The release of public APIs and technologies such as web hooks are allowing users and developers to access their information easily. Intelligent agents could use this information to provide a better user experience across services, connecting services with smart automatic. behaviours or actions. However, agent platforms are not prepared to easily add external sources such as web services, which hinders the usage of agents in the so-called Evented or Live Web. As a solution, this paper introduces an event-based architecture for agent systems, in accordance with the new tendencies in web programming. In particular, it is focused on personal agents that interact with several web services. With this architecture, called MAIA, connecting to new web services does not involve any modification in the platform

Análisis de zonas de escasa vegetación susceptibles a la erosión en incendios de Aragón (1967-2020) mediante imágenes Geosat-2

Los incendios forestales son una de las causas principales de desertificación y aumento de erosión en Aragón. Actualmente es un tema de interés, con un aumento de la preocupación por el incremento de incendios forestales que, año tras año, arrasan nuestros bosques.En el presente documento se ha realizado una investigación sobre los incendios sucedidos en la Comunidad Autónoma de Aragón desde 1967 a 2020 mediante el uso de la teledetección, y más concretamente, a través de las imágenes satelitales Geosat-2. El objetivo principal del presente estudio se centra en localizar las Zonas de Escasa Vegetación susceptibles a la erosión (ZEV-SE), y, por consiguiente, proponer directrices de gestión forestal en zonas quemadas.Los resultados permiten estimar de manera cuantitativa mediante el uso de técnicas de clasificación digital supervisada sobre imágenes de alta resolución espacial en VIS-NIR: (1) que porcentaje de la superficie quemada hay en incendios superiores a 100 ha, (2) que porcentaje se sitúa en zonas de acumulación y en zonas de exportación de sedimentos, (3) cuales son los factores explicativos de la mayor o menor presencia de superficies erosionables, (4) conocer el patrón espacial de distribución de estas zonas a partir de métricas derivadas de la ecología del paisaje, (5) el establecimiento de una priorización de zonas de actuación.<br /

EUROSENTIMENT: Linked Data Sentiment Analysis

Sentiment and Emotion Analysis strongly depend on quality language resources, especially sentiment dictionaries. These resources are usually scattered, heterogeneous and limited to specific domains of appli- cation by simple algorithms. The EUROSENTIMENT project addresses these issues by 1) developing a common language resource representation model for sentiment analysis, and APIs for sentiment analysis services based on established Linked Data formats (lemon, Marl, NIF and ONYX) 2) by creating a Language Resource Pool (a.k.a. LRP) that makes avail- able to the community existing scattered language resources and services for sentiment analysis in an interoperable way. In this paper we describe the available language resources and services in the LRP and some sam- ple applications that can be developed on top of the EUROSENTIMENT LRP

Relaciones entre indicadores de mineralización de nitrógeno y fracciones orgánicas en suelos del sudoeste bonaerense

En la actualidad, no existen estudios que establezcan relaciones de los indicadores de mineralizaci&oacute;n de nitr&oacute;geno (N)-como el N determinado en anaerobiosis (Nan) y el N hidrolizable (Nhid)- con las fracciones org&aacute;nicas en suelos con aportes variables de materia org&aacute;nica particulada (MOP). El objetivo de este estudio fue evaluar al Nan y Nhid, y la relaci&oacute;n con las fracciones org&aacute;nicas de carbono (C) y N del suelo, l&aacute;biles y recalcitrantes en suelos del sudoeste bonaerense (SOB). Durante 2010 y 2011, se muestrearon 78 lotes bajo siembra directa (SD)en 0-20 cm, destinados al cultivo de trigo (Triticum aestivum L.) y de cebada cervecera (Hordeum vulgare L.) dentro de lo que comprende la regi&oacute;n semi&aacute;rida y subh&uacute;meda. Se cuantifico Nhid y Nan, y se evalu&oacute;: carbono org&aacute;nico total (COT), particulado (COP) y asociado a la fracci&oacute;n mineral (COM); N org&aacute;nico total (Nt), particulado (NOP), y asociado a la fracci&oacute;n mineral (NOM), carbohidratos totales (CHt) y solubles (CHs). Los suelos se clasificaron en 2 grupos por el an&aacute;lisis de cl&uacute;ster de acuerdo a las fracciones org&aacute;nicas y al contenido de limo+arcilla: A y B. Los valores de Nhid y Nan fueron de 6,5-50,4 mg kg-1 y 10,7-81,9 mg kg-1, respectivamente. Se hallaron asociaciones significativas entre Nan y Nhid con las fracciones org&aacute;nicas evaluadas que difirieron seg&uacute;n el grupo de suelo considerado. Las relaciones entre Nan y Nhid con los diferentes pooles de C y N, l&aacute;biles o recalcitrantes, son dependientes de la protecci&oacute;n f&iacute;sica producida por el limo+arcilla. El an&aacute;lisis de cl&uacute;ster permiti&oacute; lograr este agrupamiento en base a varias fracciones org&aacute;nicas y deber&iacute;a ser usado para comparar suelos con condiciones similares

Percutaneous closure of mitral paravalvular leaks: Focus on imaging and technique

Symptomatic prosthetic paravalvular leakage is a rare clinical condition occurring in up to 5% of patients after valve surgery. Symptoms include haemolytic anaemia, heart failure or both. Leaks tend to be more common in the mitral compared to the aortic position. Three dimensional transoesophageal echocardiography (3D TOE) is essential prior and during percutaneous leak closure. This imaging technique allows to qualify and quantify the leak and to judge feasibility of a percutaneous approach. It also enables the choice of the most appropriated closure device prior to intervention. During the procedure, 3D TOE guides adequate crossing of the leak and device deployment. It also fi nally allows assessment of the acute procedural result. Percutaneous closure should be considered as the fi rstchoice therapy if closure is judged feasible based on 3D TOE assessment. This procedure is currently performed in a limited number of patients by relatively few operators and is characterised by a long learning curve. Currently, literature data are scarce and reported acute procedural success is roughly around 70 to 80%. Intervention is mostly performed with vascular plugs or ventricular septum defect closure devices. Recently, dedicated implants have been made available. Their role has been limited to hybrid procedures from a transapical retrograde approach

Linguistic linked data for sentiment analysis

In this paper we describe the specification of amodel for the semantically interoperable representation of language resources for sentiment analysis. The model integrates "lemon", an RDF-based model for the specification of ontology-lexica (Buitelaar et al. 2009), which is used increasinglyfor the representation of language resources asLinked Data, with Marl, an RDF-based model for the representation of sentiment annotations (West-erski et al., 2011; Sánchez-Rada et al., 2013

Evaluación de la calidad de suelos agrícolas por medio de índices

Para evaluar la calidad del suelo se deben seleccionar propiedades químicas, físicas y/o biológicas del suelo que sean sensibles a las prácticas de manejos y puedan ser utilizadas como indicadores tempranos de los cambios que se producen. La materia orgánica es el indicador más ampliamente utilizado, si bien los mejores resultados se obtienen combinándolo en los índices relacionados con la funcionalidad del suelo.Fil: Duval, Matias Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida(i); ArgentinaFil: López, Fernando Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida(i); ArgentinaFil: Martinez, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida(i); ArgentinaFil: Iglesias, Julio O.. Universidad Nacional del Sur. Departamento de Agronomía; ArgentinaFil: Galantini, Juan Alberto. Universidad Nacional del Sur. Departamento de Agronomía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida(i); ArgentinaFil: Wall, Luis Gabriel. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

A linked data approach to sentiment and emotion analysis of twitter in the financial domain

Sentiment analysis has recently gained popularity in the financial domain thanks to its capability to predict the stock market based on the wisdom of the crowds. Nevertheless, current sentiment indicators are still silos that cannot be combined to get better insight about the mood of different communities. In this article we propose a Linked Data approach for modelling sentiment and emotions about financial entities. We aim at integrating sentiment information from different communities or providers, and complements existing initiatives such as FIBO. The ap- proach has been validated in the semantic annotation of tweets of several stocks in the Spanish stock market, including its sentiment information