Aplicación web para la realización de experimentos astronómicos del proyecto GLORIA en la plataforma Facebook

La Ciencia Ciudadana nace del resultado de involucrar en las investigaciones científicas a todo tipo de personas, las cuales pueden participar en un determinado experimento analizando o recopilando datos. No hace falta que tengan una formación científica para poder participar, es decir cualquiera puede contribuir con su granito de arena. La ciencia ciudadana se ha convertido en un elemento a tener en cuenta a la hora de realizar tareas científicas que requieren mucha dedicación, o que simplemente por el volumen de trabajo que estas implican, resulta casi imposible que puedan ser realizadas por una sola persona o un pequeño grupo de trabajo. El proyecto GLORIA (GLObal Robotic-telescopes Intelligent Array) es la primera red de telescopios robóticos del mundo de acceso libre que permite a los usuarios participar en la investigación astronómica mediante la observación con telescopios robóticos, y/o analizando los datos que otros usuarios han adquirido con GLORIA, o desde otras bases de datos de libre acceso. Con el objetivo de contribuir a esta iniciativa se ha propuesto crear una plataforma web que pasará a formar parte del Proyecto GLORIA, en la que se puedan realizar experimentos astronómicos. Con el objetivo de fomentar la ciencia y el aprendizaje colaborativo se propone construir una aplicación web que se ejecute en la plataforma Facebook. Los experimentos los proporciona la red de telescopios del proyecto GLORIA mediante servicios web y están definidos mediante XML. La aplicación web recibe el XML con la descripción del experimento, lo interpreta y lo representa en la plataforma Facebook para que los usuarios potenciales puedan realizar los experimentos. Los resultados de los experimentos realizados se envían a una base de datos de libre acceso que será gestionada por el proyecto GLORIA, para su posterior análisis por parte de expertos. ---ABSTRACT---The citizen’s science is born out of the result of involving all type of people in scientific investigations, in which, they can participate in a determined experiment analyzing or compiling data. There is no need to have a scientific training in order to participate, but, anyone could contribute doing one’s bit. The citizen’s science has become an element to take into account when carrying out scientific tasks that require a lot dedication, or that, for the volume of work that these involve, are nearly impossible to be carried out by one person or a small working group. The GLORIA Project (Global Robotic-Telescopes Intelligent Array) is the first network of free access robotic telescopes in the world that permits the users to participate in the astronomic investigation by means of observation with robotic telescopes, and/or analyzing data from other users that have obtained through GLORIA, or from other free-access databases. With the aim of contributing to this initiative, a web platform has been created and will be part of the GLORIA Project, in which astronomic experiments can be carried out. With the objective of promoting science and collaborative apprenticeship, a web application carried out in the FACEBOOK platform is to be built. The experiments are founded by the telescopes network of the GLORIA project by means of web services and are defined through XML. The web application receives the XML with the description of the experiment, interprets it and represents it in the FACEBOOK platform in order for potential users may perform the experiments. The results of the experiments carried out are sent to a free-access database that will be managed by the GLORIA Project for its analysis on the part of experts.

WSM : metodología de web scraping para Android y ejemplificación mediante la aplicación UPMDroid

En la realización de este proyecto se ha tratado principalmente la temática del web scraping sobre documentos HTML en Android. Como resultado del mismo, se ha propuesto una metodología para poder realizar web scraping en aplicaciones implementadas para este sistema operativo y se desarrollará una aplicación basada en esta metodología que resulte útil a los alumnos de la escuela. Web scraping se puede definir como una técnica basada en una serie de algoritmos de búsqueda de contenido con el fin de obtener una determinada información de páginas web, descartando aquella que no sea relevante. Como parte central, se ha dedicado bastante tiempo al estudio de los navegadores y servidores Web, y del lenguaje HTML presente en casi todas las páginas web en la actualidad así como de los mecanismos utilizados para la comunicación entre cliente y servidor ya que son los pilares en los que se basa esta técnica. Se ha realizado un estudio de las técnicas y herramientas necesarias, aportándose todos los conceptos teóricos necesarios, así como la proposición de una posible metodología para su implementación. Finalmente se ha codificado la aplicación UPMdroid, desarrollada con el fin de ejemplificar la implementación de la metodología propuesta anteriormente y a la vez desarrollar una aplicación cuya finalidad es brindar al estudiante de la ETSIST un soporte móvil en Android que le facilite el acceso y la visualización de aquellos datos más importantes del curso académico como son: el horario de clases y las calificaciones de las asignaturas en las que se matricule. Esta aplicación, además de implementar la metodología propuesta, es una herramienta muy interesante para el alumno, ya que le permite utilizar de una forma sencilla e intuitiva gran número de funcionalidades de la escuela solucionando así los problemas de visualización de contenido web en los dispositivos. ABSTRACT. The main topic of this project is about the web scraping over HTML documents on Android OS. As a result thereof, it is proposed a methodology to perform web scraping in deployed applications for this operating system and based on this methodology that is useful to the ETSIST school students. Web scraping can be defined as a technique based on a number of content search algorithms in order to obtain certain information from web pages, discarding those that are not relevant. As a main part, has spent considerable time studying browsers and Web servers, and the HTML language that is present today in almost all websites as well as the mechanisms used for communication between client and server because they are the pillars which this technique is based. We performed a study of the techniques and tools needed, providing all the necessary theoretical concepts, as well as the proposal of a possible methodology for implementation. Finally it has codified UPMdroid application, developed in order to illustrate the implementation of the previously proposed methodology and also to give the student a mobile ETSIST Android support to facilitate access and display those most important data of the current academic year such as: class schedules and scores for the subjects in which you are enrolled. This application, in addition to implement the proposed methodology is also a very interesting tool for the student, as it allows a simple and intuitive way of use these school functionalities thus fixing the viewing web content on devices.

Desarrollo de una aplicación Web empresarial de ayuda a la producción de campañas publicitarias

La creación de esta aplicación web empresarial surge con la necesidad de optimizar el tiempo en el proceso de creación de una campaña publicitaria de email marketing. El objetivo principal de este trabajo es automatizar el proceso de validación de los campos de un formulario web. Un formulario web [6] es un documento digital en el que los usuarios introducen sus datos personales como nombre, apellido, dirección, documento de identidad, entre otros. Estos datos posteriormente serán procesados y almacenados en un base de datos para luego ser enviados al anunciante. El proceso de validación se refiere a la programación del formulario web en la parte del cliente usando tecnologías web como JavaScript y HTML5, para controlar que los datos introducidos por el usuario en el formulario, sean correctos. Cada campo de un formulario web tiene una validación específica que depende de varios factores, como son el país de lanzamiento de la campaña y el campo a validar. De esta forma dependiendo del tipo de validación se genera un fichero JavaScript con todas las validaciones de dicho formulario. Una de las finalidades de este trabajo es que cualquier usuario de la empresa pueda programar un formulario web, sin tener conocimientos previos de programación, ya que la programación se realiza de forma transparente al usuario. Este es un resumen básico de la aplicación web, sin embargo se debe tener en cuenta una serie de requisitos y parámetros para hacerlo más eficiente y personalizable dependiendo de las necesidades del producto final de cada campaña publicitaria. Todos estos aspectos se explicaran en detalle en los siguientes apartados. Este trabajo se realizó en el corporativo Media Response Group, para la empresa Canalmail S.L, situada en Alcobendas, supervisado por los tutores profesionales Daniel Paz y Jorge Lázaro Molina y por el tutor académico Rafael Fernández Gallego de la Universidad Politécnica de Madrid.---ABSTRACT---The creation of this enterprise Web application arises from the need to optimize the time in the process of creating an online advertising campaign. The main objective of this work is to automate the process of validating fields in a web form. A web form [6] is a digital document that users enter data such as name, surname, address, ID number among others. These data will subsequently be processed and stored in a database and then be sent to the client. These data will subsequently be processed and stored in a database and then be sent to the advertiser. This validation process refers to programming the online form on the client‟s side using web technologies such as JavaScript, HTML5 to control that the data entered by the user in this form are correct. Each field in a web form has a specific validation that depends on several factors; like being a nationwide launch of the campaign and validating data, thus depending on the type of validation a JavaScript file is generated with all validation web form. This file is integrated into the web form by calling the service. One purpose of this work is that any business user can program a web form, without prior knowledge of web programming, since programming is transparent to the user. This is a basic summary of the web application; however we must consider a number of requirements and parameters to make it more efficient and customizable depending on the needs of the end product of each advertising campaign. All these aspects are explained in detail in the following sections. This work was performed in the corporate Media Response Group, for the company Canalmail S.L, located in Alcobendas, supervised by professional tutors Daniel Paz and Jorge Lázaro Molina and PhD Assistant Lecturer at Universidad Politécnica de Madrid. Rafael Fernández Gallego.

Global research alliance modelling platform (GRAMP): an open web platform for modelling greenhouse gas emissions from agro-ecosystems

Carbon (C) and nitrogen (N) process-based models are important tools for estimating and reporting greenhouse gas emissions and changes in soil C stocks. There is a need for continuous evaluation, development and adaptation of these models to improve scientific understanding, national inventories and assessment of mitigation options across the world. To date, much of the information needed to describe different processes like transpiration, photosynthesis, plant growth and maintenance, above and below ground carbon dynamics, decomposition and nitrogen mineralization. In ecosystem models remains inaccessible to the wider community, being stored within model computer source code, or held internally by modelling teams. Here we describe the Global Research Alliance Modelling Platform (GRAMP), a web-based modelling platform to link researchers with appropriate datasets, models and training material. It will provide access to model source code and an interactive platform for researchers to form a consensus on existing methods, and to synthesize new ideas, which will help to advance progress in this area. The platform will eventually support a variety of models, but to trial the platform and test the architecture and functionality, it was piloted with variants of the DNDC model. The intention is to form a worldwide collaborative network (a virtual laboratory) via an interactive website with access to models and best practice guidelines; appropriate datasets for testing, calibrating and evaluating models; on-line tutorials and links to modelling and data provider research groups, and their associated publications. A graphical user interface has been designed to view the model development tree and access all of the above functions.

A free real-time hourly tilted solar irradiation data Website for Europe

The engineering of solar power applications, such as photovoltaic energy (PV) or thermal solar energy requires the knowledge of the solar resource available for the solar energy system. This solar resource is generally obtained from datasets, and is either measured by ground-stations, through the use of pyranometers, or by satellites. The solar irradiation data are generally not free, and their cost can be high, in particular if high temporal resolution is required, such as hourly data. In this work, we present an alternative method to provide free hourly global solar tilted irradiation data for the whole European territory through a web platform. The method that we have developed generates solar irradiation data from a combination of clear-sky simulations and weather conditions data. The results are publicly available for free through Soweda, a Web interface. To our knowledge, this is the first time that hourly solar irradiation data are made available online, in real-time, and for free, to the public. The accuracy of these data is not suitable for applications that require high data accuracy, but can be very useful for other applications that only require a rough estimate of solar irradiation.

Automated end user-centred adaptation of web components through automated description logic-based reasoning

Context: This paper addresses one of the major end-user development (EUD) challenges, namely, how to pack today?s EUD support tools with composable elements. This would give end users better access to more components which they can use to build a solution tailored to their own needs. The success of later end-user software engineering (EUSE) activities largely depends on how many components each tool has and how adaptable components are to multiple problem domains. Objective: A system for automatically adapting heterogeneous components to a common development environment would offer a sizeable saving of time and resources within the EUD support tool construction process. This paper presents an automated adaptation system for transforming EUD components to a standard format. Method: This system is based on the use of description logic. Based on a generic UML2 data model, this description logic is able to check whether an end-user component can be transformed to this modeling language through subsumption or as an instance of the UML2 model. Besides it automatically finds a consistent, non-ambiguous and finite set of XSLT mappings to automatically prepare data in order to leverage the component as part of a tool that conforms to the target UML2 component model. Results: The proposed system has been successfully applied to components from four prominent EUD tools. These components were automatically converted to a standard format. In order to validate the proposed system, rich internet applications (RIA) used as an operational support system for operators at a large services company were developed using automatically adapted standard format components. These RIAs would be impossible to develop using each EUD tool separately. Conclusion: The positive results of applying our system for automatically adapting components from current tool catalogues are indicative of the system?s effectiveness. Use of this system could foster the growth of web EUD component catalogues, leveraging a vast ecosystem of user-centred SaaS to further current EUSE trends.

Using Open Geographic Data to Generate Natural Language Descriptions for Hydrological Sensor Networks

Providing descriptions of isolated sensors and sensor networks in natural language, understandable by the general public, is useful to help users find relevant sensors and analyze sensor data. In this paper, we discuss the feasibility of using geographic knowledge from public databases available on the Web (such as OpenStreetMap, Geonames, or DBpedia) to automatically construct such descriptions. We present a general method that uses such information to generate sensor descriptions in natural language. The results of the evaluation of our method in a hydrologic national sensor network showed that this approach is feasible and capable of generating adequate sensor descriptions with a lower development effort compared to other approaches. In the paper we also analyze certain problems that we found in public databases (e.g., heterogeneity, non-standard use of labels, or rigid search methods) and their impact in the generation of sensor descriptions.

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.

Developing ontologies for representing data about key performance indicators

Multiple indicators are of interest in smart cities at different scales and for different stakeholders. In open environments, such as The Web, or when indicator information has to be interchanged across systems, contextual information (e.g., unit of measurement, measurement method) should be transmitted together with the data and the lack of such information might cause undesirable effects. Describing the data by means of ontologies increases interoperability among datasets and applications. However, methodological guidance is crucial during ontology development in order to transform the art of modeling in an engineering activity. In the current paper, we present a methodological approach for modelling data about Key Performance Indicators and their context with an application example of such guidelines.

A Linked Data Platform adapter for the Bugzilla issue tracker

The W3C Linked Data Platform (LDP) specification defines a standard HTTP-based protocol for read/write Linked Data and pro- vides the basis for application integration using Linked Data. This paper presents an LDP adapter for the Bugzilla issue tracker and demonstrates how to use the LDP protocol to expose a traditional application as a read/write Linked Data application. This approach provides a exible LDP adoption strategy with minimal changes to existing applications.

Language resources and linked data: a practical perspective

Recently, experts and practitioners in language resources have started recognizing the benefits of the linked data (LD) paradigm for the representation and exploitation of linguistic data on the Web. The adoption of the LD principles is leading to an emerging ecosystem of multilingual open resources that conform to the Linguistic Linked Open Data Cloud, in which datasets of linguistic data are interconnected and represented following common vocabularies, which facilitates linguistic information discovery, integration and access. In order to contribute to this initiative, this paper summarizes several key aspects of the representation of linguistic information as linked data from a practical perspective. The main goal of this document is to provide the basic ideas and tools for migrating language resources (lexicons, corpora, etc.) as LD on the Web and to develop some useful NLP tasks with them (e.g., word sense disambiguation). Such material was the basis of a tutorial imparted at the EKAW’14 conference, which is also reported in the paper.

morph-LDP: an R2RML-based Linked Data Platform implementation

The W3C Linked Data Platform (LDP) candidate recom- mendation defines a standard HTTP-based protocol for read/write Linked Data. The W3C R2RML recommendation defines a language to map re- lational databases (RDBs) and RDF. This paper presents morph-LDP, a novel system that combines these two W3C standardization initiatives to expose relational data as read/write Linked Data for LDP-aware ap- plications, whilst allowing legacy applications to continue using their relational databases.

HDTourist: exploring urban data on Android

The Web of Data currently comprises ? 62 billion triples from more than 2,000 different datasets covering many fields of knowledge3. This volume of structured Linked Data can be seen as a particular case of Big Data, referred to as Big Semantic Data [4]. Obviously, powerful computational configurations are tradi- tionally required to deal with the scalability problems arising to Big Semantic Data. It is not surprising that this ?data revolution? has competed in parallel with the growth of mobile computing. Smartphones and tablets are massively used at the expense of traditional computers but, to date, mobile devices have more limited computation resources. Therefore, one question that we may ask ourselves would be: can (potentially large) semantic datasets be consumed natively on mobile devices? Currently, only a few mobile apps (e.g., [1, 9, 2, 8]) make use of semantic data that they store in the mobile devices, while many others access existing SPARQL endpoints or Linked Data directly. Two main reasons can be considered for this fact. On the one hand, in spite of some initial approaches [6, 3], there are no well-established triplestores for mobile devices. This is an important limitation because any po- tential app must assume both RDF storage and SPARQL resolution. On the other hand, the particular features of these devices (little storage space, less computational power or more limited bandwidths) limit the adoption of seman- tic data for different uses and purposes. This paper introduces our HDTourist mobile application prototype. It con- sumes urban data from DBpedia4 to help tourists visiting a foreign city. Although it is a simple app, its functionality allows illustrating how semantic data can be stored and queried with limited resources. Our prototype is implemented for An- droid, but its foundations, explained in Section 2, can be deployed in any other platform. The app is described in Section 3, and Section 4 concludes about our current achievements and devises the future work.

OOPS! (OntOlogy Pitfall Scanner!): a web-based tool for ontology evaluation

Presentación en Workshop EUON 2014

Event-based time series data preprocessing: application to traffic flow time series

Traffic flow time series data are usually high dimensional and very complex. Also they are sometimes imprecise and distorted due to data collection sensor malfunction. Additionally, events like congestion caused by traffic accidents add more uncertainty to real-time traffic conditions, making traffic flow forecasting a complicated task. This article presents a new data preprocessing method targeting multidimensional time series with a very high number of dimensions and shows its application to real traffic flow time series from the California Department of Transportation (PEMS web site). The proposed method consists of three main steps. First, based on a language for defining events in multidimensional time series, mTESL, we identify a number of types of events in time series that corresponding to either incorrect data or data with interference. Second, each event type is restored utilizing an original method that combines real observations, local forecasted values and historical data. Third, an exponential smoothing procedure is applied globally to eliminate noise interference and other random errors so as to provide good quality source data for future work.