Generisches Framework Studi-App

Mit der Idee eines generischen, an vielfältige Hochschulanforderungen anpassbaren Studierenden-App-Frameworks haben sich innerhalb des Arbeitskreises Web der ZKI ca. 30 Hochschulen zu einem Entwicklungsverbund zusammengefunden. Ziel ist es, an den beteiligten Einrichtungen eine umfassende Zusammenstellung aller elektronischen Studienservices zu evaluieren, übergreifende Daten- und Metadatenmodelle für die Beschreibung dieser Dienste zu erstellen und Schnittstellen zu den gängigen Campusmanagementsystemen sowie zu Infrastrukturen der elektronischen Lehre (LMS, Druckdienste, elektronischen Katalogen usw.) zu entwickeln. In einem abschließenden Schritt werden auf dieser Middleware aufsetzende Studienmanagement-Apps für Studierende erstellt, die die verschiedenen Daten- und Kommunikationsströme der standardisierten Dienste und Kommunikationskanäle bündeln und in eine für den Studierenden leicht zu durchschauende, navigationsfreundliche Aufbereitung kanalisiert. Mit der Konzeption eines dezentralen, über eine Vielzahl von Hochschulen verteilten Entwicklungsprojektes unter einer zentralen Projektleitung wird sichergestellt, dass redundante Entwicklungen vermieden, bundesweit standardisierte Serviceangebote angeboten und Wissenstransferprozesse zwischen einer Vielzahl von Hochschulen zur Nutzung mobiler Devices (Smartphones, Tablets und entsprechende Apps) angeregt werden können. Die Unterstützung der Realisierung klarer Schnittstellenspezifikationen zu Campusmanagementsystemen durch deren Anbieter kann durch diese breite Interessensgemeinschaft ebenfalls gestärkt werden. Weiterhin zentraler Planungsinhalt ist ein Angebot für den App-Nutzer zum Aufbau eines datenschutzrechtlich integeren, persönlichen E-Portfolios. Details finden sich im Kapitel Projektziele weiter unten.

Does the use of mobile devices (tablets and smartphones) affect survey quality and choice behaviour in web surveys?

Web surveys are becoming increasingly popular in survey research including stated preference surveys. Compared with face-to-face, telephone and mail surveys, web surveys may contain a different and new source of measurement error and bias: the type of device that respondents use to answer the survey questions. This is the first study that tests whether the use of mobile devices, tablets or smartphones, affects survey characteristics and stated preferences in a web-based choice experiment. The web survey on expanding renewable energy production in Germany was carried out with 3182 respondents, of which 12% used a mobile device. Propensity score matching is used to account for selection bias in the use of mobile devices for survey completion. We find that mobile device users spent more time than desktop/laptop users to answer the survey. Yet, desktop/laptop users and mobile device users do not differ in acquiescence tendency as an indicator of extreme response patterns. For mobile device users only, we find a negative correlation between screen size and interview length and a positive correlation between screen size and acquiescence tendency. In the choice experiment data, we do not find significant differences in the tendency to choose the status quo option and scale between both subsamples. However, some of the estimates of implicit prices differ, albeit not in a unidirectional fashion. Model results for mobile device users indicate a U-shaped relationship between error variance and screen size. Together, the results suggest that using mobile devices is not detrimental to survey quality.

Air Force Web Preventive Health Assessment (AF WEBPHA) mental health screening effectiveness

The U.S. Air Force assesses Active Duty Air Force (ADAF) health annually using the Air Force Web-based Preventative Health Assessment (AF WebPHA). The assessment is based on a self-administered survey used to determine the overall Air Force health and readiness, as well as, the individual health of each airman. Individual survey responses as well as groups of responses generate further computer generated assessment and result in a classification of 'Critical', 'Priority', or 'Routine', depending on the need and urgency for further evaluation by a health care provider. The importance of the 'Priority' and 'Critical' classifications is to provide timely intervention to prevent or limit unfavorable outcomes that may threaten an airman. Though the USAF has been transitioning from a paper form to the online WebPHA survey for the last three years it was not made mandatory for all airmen until 2009. The survey covers many health aspects including family history, tobacco use, exercise, alcohol use, and mental health. ^ Military stressors such as deployment, change of station, and the trauma of war can aggravate and intensify the common baseline worries experienced by the general population and place airmen at additional risks for mental health concerns and illness. This study assesses the effectiveness of the AF WebPHA mental health screening questions in predicting a mental health disorder diagnosis according to International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes generated by physicians or their surrogates. In order to assess the sensitivity, specificity, and positive predictive value of the AF WebPHA as a screening tool for mental health, survey results were compared to ascertain if they generated any mental health disorder related diagnosis for the period from January 1, 2009 to March 31, 2010. ^ Statistical analysis of the AF WebPHA mental health responses when compared with matching ICD-9-CM codes found that the sensitivity for 'Critical' or 'Priority' responses was only 3.4% and that it would correctly predict those who had the selected mental health diagnosis 9% of the time.^

Dealing with Semantic Heterogeneity Issues on the Web

The Semantic Web is an extension of the traditional Web in which meaning of information is well defined, thus allowing a better interaction between people and computers. To accomplish its goals, mechanisms are required to make explicit the semantics of Web resources, to be automatically processed by software agents (this semantics being described by means of online ontologies). Nevertheless, issues arise caused by the semantic heterogeneity that naturally happens on the Web, namely redundancy and ambiguity. For tackling these issues, we present an approach to discover and represent, in a non-redundant way, the intended meaning of words in Web applications, while taking into account the (often unstructured) context in which they appear. To that end, we have developed novel ontology matching, clustering, and disambiguation techniques. Our work is intended to help bridge the gap between syntax and semantics for the Semantic Web construction

Semantic Heterogeneity Issues on the Web

The Semantic Web is an extension of the traditional Web in which meaning of information is well defined, thus allowing a better interaction between people and computers. To accomplish its goals, mechanisms are required to make explicit the semantics of Web resources, to be automatically processed by software agents (this semantics being described by means of online ontologies). Nevertheless, issues arise caused by the semantic heterogeneity that naturally happens on the Web, namely redundancy and ambiguity. For tackling these issues, we present an approach to discover and represent, in a non-redundant way, the intended meaning of words in Web applications, while taking into account the (often unstructured) context in which they appear. To that end, we have developed novel ontology matching, clustering, and disambiguation techniques. Our work is intended to help bridge the gap between syntax and semantics for the Semantic Web construction.

MultiFarm: A benchmark for multilingual ontology matching

In this paper we present the MultiFarm dataset, which has been designed as a benchmark for multilingual ontology matching. The MultiFarm dataset is composed of a set of ontologies translated in different languages and the corresponding alignments between these ontologies. It is based on the OntoFarm dataset, which has been used successfully for several years in the Ontology Alignment Evaluation Initiative (OAEI). By translating the ontologies of the OntoFarm dataset into eight different languages – Chinese, Czech, Dutch, French, German, Portuguese, Russian, and Spanish – we created a comprehensive set of realistic test cases. Based on these test cases, it is possible to evaluate and compare the performance of matching approaches with a special focus on multilingualism.

Aplicación Móvil orientada a M-Learning e implementación de una capa de Servicios Web para el acceso remoto para la plataforma AFRICA BUILD Portal.

El presente Trabajo de Fin de Grado (TFG) se enmarca dentro del proyecto AFRICA BUILD. Dicho proyecto tiene como objetivo principal fomentar la investigación y fortalecer las capacidades de cuatro centros de educación superior en África a través de las TIC. Para cumplir este objetivo se ha diseñado el sistema AFRICA BUILD Portal (ABP). El ABP consiste en una solución web basada en “e-learning” para estudiantes, profesores e investigadores dentro del continente africano. El objetivo de este TFG consiste en ampliar la accesibilidad y el uso del portal a través de dispositivos móviles. La solución propuesta en este TFG consiste en el desarrollo de dos soluciones que complementan el ABP: (I) una capa de servicios web para el portal y (II) la versión App para dispositivos móviles del mismo. Cabe destacar la relación existente entre ambas soluciones ya que la segunda necesita de la primera para poder funcionar y comunicarse así con el portal.

Diseño e implementación de persistencia en bases de datos basadas en Google App Engine

El mundo de la web admite actualmente los productos desarrollados tanto por desarrolladores profesionales como por usuarios finales con un conocimiento más limitado. A pesar de la diferencia que se puede suponer de calidad entre los productos de ambos, las dos soluciones pueden ser reconocidas y empleadas en una aplicación. En la Web 2.0, este comportamiento se observa en el desarrollo de componentes web. Lo que se persigue en el trabajo es desarrollar un modelo de persistencia que, apoyado por un lado servidor y por uno cliente, recoja las métricas de calidad de los componentes cuando los usuarios interaccionan con ellos. A partir de estas métricas, es posible mejorar la calidad de estos componentes. La forma en la que se van a recoger las métricas es a través de PicBit, la aplicación desarrollada para que los usuarios puedan interconectar diferentes componentes entre ellos sin restricciones, de forma que tras interactuar con ellos puedan expresar su grado de satisfacción, que se recoge para la evaluación de la calidad. Se definen también unas métricas intrínsecas al componente, no determinadas por el usuario y que sirven como referencia de la evaluación. Cuando se tienen tanto las métricas intrínsecas como procedentes del usuario, se realiza una correlación entre ellas que permite analizar las posibles desviaciones entre ellas y determinar la calidad propia del componente. Las conclusiones que se pueden obtener del trabajo es que cuando los usuarios pueden realizar pruebas de usabilidad de forma libre, sin restricciones, es mayor la posibilidad de obtener resultados favorables porque estos resultados muestran cómo usará un usuario final la aplicación. Este método de trabajo se ve favorecido por el número de herramientas que se pueden utilizar hoy para monitorizar el flujo de usuario en el servicio.---ABSTRACT---Nowadays, the web world deals with products developed both by professional developers and by end-users with some limited knowledge. Although the difference between both can be important in quality terms, both are accepted and included in web applications. In web 2.0, this behavior can be recognized in the web components development. The goal pursued in the work presented is to create a persistent model that, supported by an end and a back side, will pick the quality measures of the components when the users interact with them. These measures are the starting point for improving the components. The way in which the measures are going to be picked is through PicBit, the application we have developed in order to allow the users playing with the components without restrictions or rules, so after the interaction they can give their satisfaction mark with the application. This will be the value used to evaluate the quality. Some own measures are also defined, which does not depend on the user and which will be used as a reference point of the evaluation. When the measures from users and own ones are got, their correlation is analyzed to study the differences between them and to establish the quality of the component. The conclusion that can be gained from the project is the importance of giving freedom for users when doing usability tests because it increases the chance to get positive results, in the way the users execute the operations they want with the application. This method is fortunate for having such a number of tools to monitor the user flow when using the service.

Desarrollo de una aplicación web con Spring Framework para un gestor de un recetario

Este proyecto tiene como intención llevar a cabo el desarrollo de una aplicación basada en tecnologías Web utilizando Spring Framework, una infraestructura de código abierto para la plataforma Java. Se realizará primero un estudio teórico sobre las características de Spring para luego poder implementar una aplicación utilizando dicha tecnología como ejemplo práctico. La primera parte constará de un análisis sobre las características más significativas de Spring, recogiendo de esta forma información sobre todos los componentes del framework necesarios para desarrollar una aplicación genérica. El objetivo es descubrir y analizar cómo Spring facilita la implementación de un proyecto con arquitectura MVC y cómo permite integrar seguridad, internacionalización y otros conceptos de forma transparente. La segunda parte, el desarrollo de la aplicación web, sirve como demostración práctica de cómo utilizar los conocimientos recogidos sobre Spring. Se desarrollará una aplicación que gestiona un recetario generado por una comunidad de usuarios. La aplicación contiene un registro de usuarios que deberán autenticarse para poder ver sus datos personales y modificarlos si lo desean. Dependiendo del tipo de usuarios, tendrán acceso a distintas zonas de la aplicación y tendrán un rango distinto de acciones disponibles. Las acciones principales son la visualización de recetas, la creación de recetas, la modificación o eliminación de recetas propias y la modificación o eliminación de recetas de los demás usuarios. Las recetas constarán de un nombre, una descripción, una fotografía del resultado, tiempos estimados, dificultad estimada, una lista de ingredientes y sus cantidades y finalmente una serie de pasos con fotografías demostrativas si se desea añadir. Los administradores, un tipo específico de usuarios, podrán acceder a una lista de usuarios para monitorizarlos, modificarlos o añadir y quitarles permisos. ABSTRACT The purpose of this project is the development of an application based on Web technologies with the use of Spring Framework, an open-source application framework for the Java platform. A theoretical study on the characteristics of Spring will be performed first, followed by the implementation of an application using said technology to show as object lesson. The first part consists of an analysis of the most significant features of Spring, thus collecting information on all components of the framework necessary to develop a generic app. The goal is to discover and analyze how Spring helps develop a project based on a MVC architecture and how it allows seamless integration of security, internationalization and other concepts. The second part, the development of the web application, serves as a practical demonstration of how to use the knowledge gleaned about Spring. An application will be developed to manage a cookbook generated by a community of users. The application has a set of users who have to authenticate themselves to be able to see their personal data and modify it if they wish to do so. Depending on the user type, the user will be able to access different parts of the application and will have a different set of possible actions. The main possible actions are: creation recipes, modification or deletion of owned recipes and the modification and deletion of any recipe. The recipes consist its name, a description, a photograph, estimated times and difficulties, a list of ingredients along with their quantities and lastly a series of steps to follow along with demonstrative photographs if desired; and other information such as categories or difficulties. The administrators, a specific type of users, will have access to a list of users where they can monitor them, modify them or grant and remove privileges.

Intelligent encoding of concepts in web development retrieval

The main aim of the proposed approach presented in this paper is to improve Web information retrieval effectiveness by overcoming the problems associated with a typical keyword matching retrieval system, through the use of concepts and an intelligent fusion of confidence values. By exploiting the conceptual hierarchy of the WordNet (G. Miller, 1995) knowledge base, we show how to effectively encode the conceptual information in a document using the semantic information implied by the words that appear within it. Rather than treating a word as a string made up of a sequence of characters, we consider a word to represent a concept.

Desarrollo de una app para la generación preventiva de alertas sanitarias

Desde hace unos años, parece que la informática ha ido invadiendo numerosos campos de la ciencia, se ha ido consolidando como parte fundamental en el desarrollo y la tecnología y ya se puede ver como motor de la economía, las comunicaciones, el comercio e incluso, la medicina. Este trabajo se centra en la aplicación de la informática en el área de las enfermedades infecciosas, intentando contribuir con una nueva idea que revolucione el mundo de las mismas dentro de la medicina, en una situación en la que el término “Smart City” cada vez es más importante. Se trata de un sistema formado por una app para Android y una web controlada y gestionada por un médico, la cual permite identificar posibles usuarios contagiados, localizar focos de contagios y gestionar de una manera óptima, el estado y los avisos de cada usuario. En esta memoria se describe el trabajo realizado, la arquitectura del sistema, las tecnologías utilizadas, el diseño de la aplicación móvil y de la página web, su implementación, las pruebas realizadas, las conclusiones a las que se ha llegado y las posibles mejoras que se podrían incluir en el proyecto en un futuro.

Applied web traffic analysis for numerical encoding of SQL Injection attack features.

SQL Injection Attack (SQLIA) remains a technique used by a computer network intruder to pilfer an organisation’s confidential data. This is done by an intruder re-crafting web form’s input and query strings used in web requests with malicious intent to compromise the security of an organisation’s confidential data stored at the back-end database. The database is the most valuable data source, and thus, intruders are unrelenting in constantly evolving new techniques to bypass the signature’s solutions currently provided in Web Application Firewalls (WAF) to mitigate SQLIA. There is therefore a need for an automated scalable methodology in the pre-processing of SQLIA features fit for a supervised learning model. However, obtaining a ready-made scalable dataset that is feature engineered with numerical attributes dataset items to train Artificial Neural Network (ANN) and Machine Leaning (ML) models is a known issue in applying artificial intelligence to effectively address ever evolving novel SQLIA signatures. This proposed approach applies numerical attributes encoding ontology to encode features (both legitimate web requests and SQLIA) to numerical data items as to extract scalable dataset for input to a supervised learning model in moving towards a ML SQLIA detection and prevention model. In numerical attributes encoding of features, the proposed model explores a hybrid of static and dynamic pattern matching by implementing a Non-Deterministic Finite Automaton (NFA). This combined with proxy and SQL parser Application Programming Interface (API) to intercept and parse web requests in transition to the back-end database. In developing a solution to address SQLIA, this model allows processed web requests at the proxy deemed to contain injected query string to be excluded from reaching the target back-end database. This paper is intended for evaluating the performance metrics of a dataset obtained by numerical encoding of features ontology in Microsoft Azure Machine Learning (MAML) studio using Two-Class Support Vector Machines (TCSVM) binary classifier. This methodology then forms the subject of the empirical evaluation.

Usefulness of social tagging in organizing and providing access to the web: An analysis of indexing consistency and quality

This dissertation research points out major challenging problems with current Knowledge Organization (KO) systems, such as subject gateways or web directories: (1) the current systems use traditional knowledge organization systems based on controlled vocabulary which is not very well suited to web resources, and (2) information is organized by professionals not by users, which means it does not reflect intuitively and instantaneously expressed users’ current needs. In order to explore users’ needs, I examined social tags which are user-generated uncontrolled vocabulary. As investment in professionally-developed subject gateways and web directories diminishes (support for both BUBL and Intute, examined in this study, is being discontinued), understanding characteristics of social tagging becomes even more critical. Several researchers have discussed social tagging behavior and its usefulness for classification or retrieval; however, further research is needed to qualitatively and quantitatively investigate social tagging in order to verify its quality and benefit. This research particularly examined the indexing consistency of social tagging in comparison to professional indexing to examine the quality and efficacy of tagging. The data analysis was divided into three phases: analysis of indexing consistency, analysis of tagging effectiveness, and analysis of tag attributes. Most indexing consistency studies have been conducted with a small number of professional indexers, and they tended to exclude users. Furthermore, the studies mainly have focused on physical library collections. This dissertation research bridged these gaps by (1) extending the scope of resources to various web documents indexed by users and (2) employing the Information Retrieval (IR) Vector Space Model (VSM) - based indexing consistency method since it is suitable for dealing with a large number of indexers. As a second phase, an analysis of tagging effectiveness with tagging exhaustivity and tag specificity was conducted to ameliorate the drawbacks of consistency analysis based on only the quantitative measures of vocabulary matching. Finally, to investigate tagging pattern and behaviors, a content analysis on tag attributes was conducted based on the FRBR model. The findings revealed that there was greater consistency over all subjects among taggers compared to that for two groups of professionals. The analysis of tagging exhaustivity and tag specificity in relation to tagging effectiveness was conducted to ameliorate difficulties associated with limitations in the analysis of indexing consistency based on only the quantitative measures of vocabulary matching. Examination of exhaustivity and specificity of social tags provided insights into particular characteristics of tagging behavior and its variation across subjects. To further investigate the quality of tags, a Latent Semantic Analysis (LSA) was conducted to determine to what extent tags are conceptually related to professionals’ keywords and it was found that tags of higher specificity tended to have a higher semantic relatedness to professionals’ keywords. This leads to the conclusion that the term’s power as a differentiator is related to its semantic relatedness to documents. The findings on tag attributes identified the important bibliographic attributes of tags beyond describing subjects or topics of a document. The findings also showed that tags have essential attributes matching those defined in FRBR. Furthermore, in terms of specific subject areas, the findings originally identified that taggers exhibited different tagging behaviors representing distinctive features and tendencies on web documents characterizing digital heterogeneous media resources. These results have led to the conclusion that there should be an increased awareness of diverse user needs by subject in order to improve metadata in practical applications. This dissertation research is the first necessary step to utilize social tagging in digital information organization by verifying the quality and efficacy of social tagging. This dissertation research combined both quantitative (statistics) and qualitative (content analysis using FRBR) approaches to vocabulary analysis of tags which provided a more complete examination of the quality of tags. Through the detailed analysis of tag properties undertaken in this dissertation, we have a clearer understanding of the extent to which social tagging can be used to replace (and in some cases to improve upon) professional indexing.

Creación y diseño de la plataforma web y aplicación móvil para la realización de la revista digital de carácter académico-estudiantil (ARKHÉ).

El proyecto titulado Creación y diseño de la plataforma web y aplicación móvil para la realización de la revista digital de carácter académico-estudiantil (Arkhé), tuvo como objetivo instaurar un medio propio para la Carrera de Comunicación Social, destinado a la publicación de trabajos e investigaciones de docentes y estudiantes. El proyecto fue estructurado visual y conceptualmente. En cuanto a la estructura visual, se crearon elementos que identifican a la revista, como: logotipo, colores y todo lo relacionado al diseño visual y funcional de la página y su aplicación móvil. En lo referente a la parte conceptual, se elaboraron las bases fundamentales para que exista una revista como: misión, visión, sostenibilidad, concepto de su nombre, creación de la línea editorial, Consejo Editorial, políticas de calidad y normas de publicación; para convertir a Arkhé en una fuente de referencia confiable con posibilidades de indexación. El presente proyecto comprende una investigación teórica y práctica. En el primer capítulo se partió de un marco teórico y se desarrollaron conceptos indispensables para la elaboración de una revista digital. En el segundo se mostró los resultados de la aplicación de encuestas y entrevistas realizadas a estudiantes y profesores. En el tercero se elaboraron las bases de la revista académica y de la estudiantil. Finalmente en el cuarto capítulo se creó el espacio web en donde consta toda la información de la revista para que puedan publicar sus trabajos. En consecuencia, Arkhé es un medio que apoya al proceso de aprendizaje, en el que profesores y estudiantes desarrollan sus habilidades a través de la práctica.

Lidar Elevation Data Download App

See Project Homepage for more details.