Enseñando Inteligencia Emocional a Ingenieros en Informática

Cada día más, se está solicitando de los profesionales informáticos que, además, e incluso antes, de conocimientos técnicos, posean habilidades emocionales. Habilidades para el trabajo en equipo o para hablar en público, capacidad de liderazgo o de adaptación al cambio, son requisitos importantes, quizá, en cualquier trabajo. Sin embargo, este tipo de habilidades, propias de lo que se viene denominando Inteligencia Emocional, se convierten en características imprescindibles para el perfil de un Ingeniero en Informática. Este tipo de profesionales deberá, con toda seguridad, trabajar en grupo, enfrentarse a la dirección de proyectos, impartir charlas y, lo que puede resultar aún más difícil, mantenerse al día en una tecnología cuyos nuevos avances estarán obsoletos en apenas cinco años. Sin embargo, y a pesar de la importancia de este tipo de habilidades, la Inteligencia Emocional continúa siendo la asignatura pendiente en los currículos de Ingenierías Informáticas. En este artículo se presenta un experimento en el que se trata de incentivar, mediante un concurso, la Inteligencia Emocional de alumnos de Ingeniería Informática, dentro de una asignatura de Bases de Datos.Este trabajo ha sido parcialmente financiado por el MCYT (TIC 2002-04050-C02-01)

Consuming Web Data in a Guiding App for Public Bus Users

The complexity of urban public bus networks in big cities makes their use very difficult. This paper presents Notify.me, a set of pervasive services for mobility that employs open data from the public bus network in Madrid. Our solution provides both a guiding service to assist users travelling by bus and a notifying service (visual, acoustical and sensorial) that informs them when a relevant point on their route has been reached (transfer or destination). Notify.me needs a starting point, which can be the user's current location, a destination and the preferences regarding the best route for the user. Notify.me requests a route from the Madrid public bus company via SOAP Web services. The back-end responds with the calculated route, the user's route, which includes the bus lines, the transfers and the pedestrian routes needed to reach the destination. Finally, an empirical evaluation of the experiences of users who employed Notify.me is presented

Open Data Consumption Through the Generation of Disposable Web APIs

The ever-growing amount of information in today’s world has led to the publication of more and more open data, i.e., that which is available in a free and reusable manner, on the Web. Open data is considered highly valuable in situational scenarios, in which thematic data is required for a short life cycle by a small group of consumers with specific needs. In this context, data consumers (developers or data scientists) need mechanisms with which to easily assess whether the data is adequate for their purpose. SPARQL endpoints have become very useful for the consumption of open data, but we argue that its steep learning curve hampers open data reuse in situational scenarios. In order to overcome this pitfall, in this paper, we coin the term disposable Web APIs as an alternative mechanism for the consumption of open data in situational scenarios. Disposable Web APIs are created on-the-fly to be used temporarily by a user to consume open data. In this paper we specifically describe an approach with which to leverage semantic information from data sources so as to automatically generate easy-to-use disposable Web APIs that can be used to access open data in a situational scenario, thus avoiding the complexity and learning curve of SPARQL and the effort of manually processing the data. We have conducted several experiments to discover whether non-experienced users find it easier to use our disposable Web API or a SPARQL endpoint to access open data. The results of the experiments led us to conclude that, in a situational scenario, it is easier and faster to use the Web API than the corresponding SPARQL endpoint in order to consume open data.This work was supported in part by the Access@City coordinated Research Project through the Spanish Ministry of Science, Innovation and Universities under Grant TIN2016-78103-C2-1-R and Grant TIN2016-78103-C2-2-R; in part by the Plataforma intensiva en datos proveedora de servicios inteligentes de movilidad (MoviDA) Project through Rey Juan Carlos University; and in part by the Recolección y publicación de datos abiertos para la reactivación del sector turístico postCOVID-19 (UAPOSTCOVID19-10) Project through the Consejo Social of the University of Alicante. The work of César González-Mora was supported in part by the Generalitat Valenciana, and in part by the European Social Fund under Grant ACIF/2019/044