A Reuse-based Lightweight Method for Developing Linked Data Ontologies and Vocabularies

The uptake of Linked Data (LD) has promoted the proliferation of datasets and their associated ontologies for describing different domains. Par-ticular LD development characteristics such as agility and web-based architec-ture necessitate the revision, adaption, and lightening of existing methodologies for ontology development. This thesis proposes a lightweight method for ontol-ogy development in an LD context which will be based in data-driven agile de-velopments, existing resources to be reused, and the evaluation of the obtained products considering both classical ontological engineering principles and LD characteristics.

Advanced Videoconferencing based on WebRTC

Lately, videoconference applications have experienced an evolution towards the World Wide Web. New technologies have given browsers real-time communications capabilities. In this context, WebRTC aims to provide this functionality by following and defining standards. Being a new effort, WebRTC still lacks advanced videoconferencing services such as session recording, media mixing and adjusting to varying network conditions. This paper analyzes these challenges and proposes an architecture based on a traditional communications entity, the Multipoint Control Unit or MCU as a solution.

Opportunities and Challenges of Implementing P2P Streaming Applications in the Web

P2P applications are increasingly present on the web. We have identified a gap in current proposals when it comes to the use of traditional P2P overlays for real-time multimedia streaming. We analyze the possibilities and challenges to extend WebRTC in order to implement JavaScript APIs for P2P streaming algorithms.

The dicode workbench: A flexible framework for the integration of information and web services

Aiming to address requirements concerning integration of services in the context of ?big data?, this paper presents an innovative approach that (i) ensures a flexible, adaptable and scalable information and computation infrastructure, and (ii) exploits the competences of stakeholders and information workers to meaningfully confront information management issues such as information characterization, classification and interpretation, thus incorporating the underlying collective intelligence. Our approach pays much attention to the issues of usability and ease-of-use, not requiring any particular programming expertise from the end users. We report on a series of technical issues concerning the desired flexibility of the proposed integration framework and we provide related recommendations to developers of such solutions. Evaluation results are also discussed.

On a meaningful integration of web services in data-intensive biomedical environments: The DICODE approach

This paper reports on an innovative approach that aims to reduce information management costs in data-intensive and cognitively-complex biomedical environments. Recognizing the importance of prominent high-performance computing paradigms and large data processing technologies as well as collaboration support systems to remedy data-intensive issues, it adopts a hybrid approach by building on the synergy of these technologies. The proposed approach provides innovative Web-based workbenches that integrate and orchestrate a set of interoperable services that reduce the data-intensiveness and complexity overload at critical decision points to a manageable level, thus permitting stakeholders to be more productive and concentrate on creative activities.

Modeling Commercial Knowledge to Develop Advanced Agent-based Marketplaces for E-commerce

This paper argues about the utility of advanced knowledge-based techniques to develop web-based applications that help consumers in finding products within marketplaces in e-commerce. In particular, we describe the idea of model-based approach to develop a shopping agent that dynamically configures a product according to the needs and preferences of customers. Finally, the paper summarizes the advantages provided by this approach.

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 flexible open source web platform to facilitate Learning Object evaluation

Systematic evaluation of Learning Objects is essential to make high quality Web-based education possible. For this reason, several educational repositories and e-Learning systems have developed their own evaluation models and tools. However, the differences of the context in which Learning Objects are produced and consumed suggest that no single evaluation model is sufficient for all scenarios. Besides, no much effort has been put in developing open tools to facilitate Learning Object evaluation and use the quality information for the benefit of end users. This paper presents LOEP, an open source web platform that aims to facilitate Learning Object evaluation in different scenarios and educational settings by supporting and integrating several evaluation models and quality metrics. The work exposed in this paper shows that LOEP is capable of providing Learning Object evaluation to e-Learning systems in an open, low cost, reliable and effective way. Possible scenarios where LOEP could be used to implement quality control policies and to enhance search engines are also described. Finally, we report the results of a survey conducted among reviewers that used LOEP, showing that they perceived LOEP as a powerful and easy to use tool for evaluating Learning Objects.

Towards a Learning Object pedagogical quality metric based on the LORI evaluation model

Evaluating and measuring the pedagogical quality of Learning Objects is essential for achieving a successful web-based education. On one hand, teachers need some assurance of quality of the teaching resources before making them part of the curriculum. On the other hand, Learning Object Repositories need to include quality information into the ranking metrics used by the search engines in order to save users time when searching. For these reasons, several models such as LORI (Learning Object Review Instrument) have been proposed to evaluate Learning Object quality from a pedagogical perspective. However, no much effort has been put in defining and evaluating quality metrics based on those models. This paper proposes and evaluates a set of pedagogical quality metrics based on LORI. The work exposed in this paper shows that these metrics can be effectively and reliably used to provide quality-based sorting of search results. Besides, it strongly evidences that the evaluation of Learning Objects from a pedagogical perspective can notably enhance Learning Object search if suitable evaluations models and quality metrics are used. An evaluation of the LORI model is also described. Finally, all the presented metrics are compared and a discussion on their weaknesses and strengths is provided.

Enabling Language Resources to expose translations as linked data on the web

Language resources, such as multilingual lexica and multilingual electronic dictionaries, contain collections of lexical entries in several languages. Having access to the corresponding explicit or implicit translation relations between such entries might be of great interest for many NLP-based applications. By using Semantic Web-based techniques, translations can be available on the Web to be consumed by other (semantic enabled) resources in a direct manner, not relying on application-specific formats. To that end, in this paper we propose a model for representing translations as linked data, as an extension of the lemon model. Our translation module represents some core information associated to term translations and does not commit to specific views or translation theories. As a proof of concept, we have extracted the translations of the terms contained in Terminesp, a multilingual terminological database, and represented them as linked data. We have made them accessible on the Web both for humans (via a Web interface) and software agents (with a SPARQL endpoint).

Indicadores de sostenibilidad de la gestión integral de las aguas de lluvia en los entornos urbanos : aplicación a la ciudad de Zaragoza

En un contexto de rápido crecimiento de la población urbana y de cambio climático global, la consecución de un modelo de desarrollo sostenible pasa inevitablemente por construir ciudades más sostenibles. Basado en una intensiva impermeabilización de los suelos, el modelo actual de desarrollo urbano modifica profundamente el ciclo natural del agua en las ciudades. La drástica reducción de la capacidad de infiltración del terreno hace que gran parte de la precipitación se transforme en escorrentía superficial, que se concentra rápidamente originando grandes caudales punta. Además, el lavado de las superficies urbanas aporta altas cargas de contaminación a la escorrentía que producen importantes impactos en los medios receptores. Esta realidad motiva la realización de la presente tesis doctoral cuyo objetivo general es contribuir a la consecución de ciudades sostenibles a través de la gestión integral de las aguas de lluvia en los entornos urbanos. Con el objetivo prioritario de minimizar los riesgos de inundación, el enfoque convencional del drenaje urbano desarrolló las primeras soluciones en relación a los caudales punta, centralizando su gestión en el sistema de saneamiento e incorporando la escorrentía al mismo tan rápido como fuera posible. Pero en episodios de lluvias intensas la sobrecarga tanto hidráulica como de contaminación del sistema provoca un incremento de la vulnerabilidad de la población a las inundaciones, una falta de garantía de salud pública y graves impactos sobre los medios receptores. La aprobación en 1987 del CleanWaterAct en Estados Unidos, en el que se reconoció por primera vez el problema de la contaminación aportada por la escorrentía urbana, fue el punto de partida de un nuevo enfoque que promueve un conjunto de técnicas de drenaje que integran aspectos como cantidad de agua, calidad de agua y servicio a la sociedad. Estas técnicas, conocidas como Sistemas de Drenaje Sostenible (SUDS), son consideradas como las técnicas más apropiadas para gestionar los riesgos resultantes de la escorrentía urbana así como para contribuir a la mejora medioambiental de la cuenca y de los ecosistemas receptores. La experiencia internacional apunta a que la efectiva incorporación de los SUDS como sistemas habituales en el desarrollo urbano debe basarse en tres elementos clave: El desarrollo de un marco normativo, la aplicación de instrumentos económicos y la participación ciudadana activa en el proceso. Además se identifica como una de las líneas estratégicas para avanzar en la resolución de la problemática el desarrollo y aplicación de metodologías que apoyen el proceso de toma de decisiones basadas en indicadores cuantificables. Convergiendo con esta línea estratégica la presente tesis doctoral define unos indicadores de sostenibilidad focalizados en una temática no desarrollada hasta el momento, la gestión integral de las aguas de lluvia. Para ello, se aplica el marco analítico Presión-Estado–Respuesta bajo un enfoque que rebasa el sistema de saneamiento, enmarcando la gestión de las aguas de lluvia en las múltiples y complejas interrelaciones del sistema urbano. Así se determinan indicadores de presión, de estado y de respuesta para cada elemento del sistema urbano (Medio Receptor – Cuenca Urbana – Sistema de Saneamiento), definiendo para cada indicador el objetivo específico, la unidad de medición, la tendencia deseada de evolución y la periodicidad de seguimiento recomendada. La validez de la metodología propuesta se comprueba en el estudio de caso de la ciudad de Zaragoza. La determinación de los indicadores permite realizar un diagnóstico y definir unas líneas estratégicas de actuación que contemplan mejoras no sólo en el sistema de saneamiento y drenaje urbano, sino también en el marco normativo, urbanístico, económico, social y ambiental. Finalmente, se concluye que la integración de la gestión de las aguas de lluvia en las políticas de ordenación del territorio, el desarrollo de mecanismos de coordinación institucional, la mejora del marco normativo y la aplicación de instrumentos económicos son elementos clave para la gestión integral de las aguas de lluvia y el consecuente desarrollo de ciudades más sostenibles en España. In a context of rapid urbanization and global climate change, coping with sustainable development challenges requires the development of sustainable cities. Based on an intensive soil permeability reduction, the current development model deeply modifies the natural water cycle in the urban environment. Reduction of soil infiltration capacity turns most of the rainwater into surface runoff, rapidly leading to heavy peak flows which are highly contaminated due to the flushing of the urban surface. This is the central motivation for this thesis, which aspires to contribute to the attainment of more sustainable cities through an integrated management of rainwater in urban environments. With the main objective of minimizing floods, the conventional approach of drainage systems focused on peak flows, centralizing their management on the sewage system and incorporating flows as fast as possible. But during heavy rains the hydraulic and contamination overcharge of the sewage system leads to an increase in the vulnerability of the population, in regards to floods and lack of public health, as well as to severe impacts in receiving waters. In 1987, the United States’Clean Water Act Declaration, which firstly recognized the problem of runoff contamination, was the starting point of a new approach that promotes a set of techniques known as Sustainable Drainage Systems (SUDS)that integrates issues such as quantity of water, quality of water and service to society. SUDS are considered the most suitable set of techniques to manage the risks resulting from urban runoff, as well as to contribute to the environmental enhancement of urban basins and of the aquatic ecosystems. International experience points out that the effective adoption of SUDS as usual systems in urban development must be based on three key elements: The enhancement of the legal frame, the application of economic tools and the active public participation throughout the process. Additionally, one of the strategic actions to advance in the resolution of the problem is the development and application of methodologies based in measurable indicators that support the decision making process. In that line, this thesis defines a set of sustainability indicators focused in integrated management of rainwater. To that end, the present document applies the analytical frame Pressure – State – Response under an approach that goes beyond the sewage system and considers the multiple and complex interrelations within urban systems. Thus, for the three basic elements that interact in the issue (Receiving Water Bodies – Urban Basin – Sewage System) a set of Pressure – State – Response indicators are proposed, and the specific aim, the measurement unit, the desired evolution trend and the regularity of monitoring are defined for each of the indicators. The application of the proposed indicators to the case study of the city of Zaragoza acknowledged their suitability for the definition of lines of action that encompass not only the enhancement of the performance of sewage and drainage systems during rain events, but also the legal, urban, economic, social and environmental framework. Finally, this thesis concludes that the inclusion of urban rainwater management issues in the definition of regional planning policies, the development of mechanisms to attain an effective institutional coordination, the enhancement of the legal framework and the application of economic tools are key elements in order to achieve an integrated rainwater management and the subsequent sustainability of urban development in Spain.