Translational research combining orthologous genes and human diseases with the OGOLOD dataset

OGOLOD is a Linked Open Data dataset derived from different biomedical resources by an automated pipeline, using a tailored ontology as a scaffold. The key contribution of OGOLOD is that it links, in new RDF triples, genetic human diseases and orthologous genes, paving the way for a more efficient translational biomedical research exploiting the Linked Open Data cloud.

SRBench: A streaming RDF/SPARQL benchmark

We introduce SRBench, a general-purpose benchmark primarily designed for streaming RDF/SPARQL engines, completely based on real-world data sets from the Linked Open Data cloud. With the increasing problem of too much streaming data but not enough tools to gain knowledge from them, researchers have set out for solutions in which Semantic Web technologies are adapted and extended for publishing, sharing, analysing and understanding streaming data. To help researchers and users comparing streaming RDF/SPARQL (strRS) engines in a standardised application scenario, we have designed SRBench, with which one can assess the abilities of a strRS engine to cope with a broad range of use cases typically encountered in real-world scenarios. The data sets used in the benchmark have been carefully chosen, such that they represent a realistic and relevant usage of streaming data. The benchmark defines a concise, yet omprehensive set of queries that cover the major aspects of strRS processing. Finally, our work is complemented with a functional evaluation on three representative strRS engines: SPARQLStream, C-SPARQL and CQELS. The presented results are meant to give a first baseline and illustrate the state-of-the-art.

The Landscape of Ontology Reuse in Linked Data

Abstract. The uptake of Linked Data (LD) has promoted the proliferation of datasets and their associated ontologies for describing different domains. Ac-cording to LD principles, developers should reuse as many available terms as possible to describe their data. Importing ontologies or referring to their terms’ URIs are the two main ways to reuse knowledge from available ontologies. In this paper, we have analyzed 18589 terms appearing within 196 ontologies in-cluded in the Linked Open Vocabularies (LOV) registry with the aim of under-standing the current state of ontology reuse in the LD context. In order to char-acterize the landscape of ontology reuse in this context, we have extracted sta-tistics about currently reused elements, calculated ratios for reuse, and drawn graphs about imports and references between ontologies. Keywords: ontology, vocabulary, reuse, linked data, ontology import

Short paper: From streaming data to linked data. A case study with bike sharing systems

Current methods and tools that support Linked Data publication have mainly focused so far on static data, without considering the growing amount of streaming data available on the Web. In this paper we describe a case study that involves the publication of static and streaming Linked Data for bike sharing systems and related entities. We describe some of the challenges that we have faced, the solutions that we have explored, the lessons that we have learned, and the opportunities that lie in the future for exploiting Linked Stream Data.

Collaborative semantic editing of linked data lexica.

The creation of language resources is a time-consuming process requiring the efforts of many people. The use of resources collaboratively created by non-linguists can potentially ameliorate this situation. However, such resources often contain more errors compared to resources created by experts. For the particular case of lexica, we analyse the case of Wiktionary, a resource created along wiki principles and argue that through the use of a principled lexicon model, namely lemon, the resulting data could be better understandable to machines. We then present a platform called lemon source that supports the creation of linked lexical data along the lemon model. This tool builds on the concept of a semantic wiki to enable collaborative editing of the resources by many users concurrently. In this paper, we describe the model, the tool and present an evaluation of its usability based on a small group of users.

Accessing and managing open medical resources in Africa over the Internet

Recent commentaries have proposed the advantages of using open exchange of data and informatics resources for improving health-related policies and patient care in Africa. Yet, in many African regions, both private medical and public health information systems are still unaffordable. Open exchange over the social Web 2.0 could encourage more altruistic support of medical initiatives. We have carried out some experiments to demonstrate the feasibility of using this approach to disseminate open data and informatics resources in Africa. After the experiments we developed the AFRICA BUILD Portal, the first Social Network for African biomedical researchers. Through the AFRICA BUILD Portal users can access in a transparent way to several resources. Currently, over 600 researchers are using distributed and open resources through this platform committed to low connections.

A proposal for a Business Framework targeted at emerging business services and applications

Un Service Business Framework consiste en una serie de componentes interrelacionados que permiten la gestión de servicios de negocio a través de su ciclo de vida, desde su creación, descubrimiento y comparación, hasta su monetización (incluyendo un posible reparto de beneficios). De esta manera, el denominado FIWARE Business Framework trata de permitir a los usuarios de la plataforma FIWARE mejorar sus productos con funcionalidades de búsqueda, describrimiento, comparación, monetización y reparto de beneficios. Para lograr este objetivo, el Business Framework de FIWARE proporciona la especificación abierta y las APIs de una serie de components (denominados \Generic Enablers" en terminología FIWARE), junto con una implementación de referencia de las mismas pueden ser facilmente integradas en los sitemas existentes para conseguir aplicaciones con valor a~nadido. Al comienzo de este trabajo de fin de master, el Business Framework de FIWARE no era lo suficientemente maduro como para cubrir los requisitos de sus usuarios, ya que ofrecía modelos demasiado generales y dejaba algunas funcionalidades clave para ser implementadas por los usuarios. Para solucionar estos problemas, el principal objectivo desarrollado en el contexto de este trabajo de fin de master ha consistido en mejorar y evolucionar el Business Framework de FIWARE para dar respuesta a las demandas de sus usuarios. Para alcanzar el pricipal objetivo propuesto, el Business Framework de FIWARE ha sido evaluado usando la información proporcionada por los usuarios de la plataforma, principalmente PyMEs y start-ups que usan este framework en sus soluciones, con el objetivo de obtener una lista de requisitos y de dise~nar a partir de éstos un roadmap de evolución a 6 meses. Después, los diferentes problemas identificados se han tratado uno por uno dando en cada caso una solución capaz de cubrir los requisitos de los usuarios. Finalmente, se han evaluado los resultados obtenidos en el proyecto integrando el Business Framework desarrollado con un sistema existente para la gestión de datos de consusmo energético, construyendo lo que se ha denominado Mercado de Datos de Consumo Energético. Esto además ha permitido demostrar la utilidad del framework propuesto para evolucionar una plataforma de datos abiertos bien conocida como es CKAN a un verdadero mercado de datos.---ABSTRACT---Service Business Frameworks consist on a number of interrelated components that support the management of business services across their whole lifecycle, from their creation, publication, discovery and comparison, to their monetization (possibly including revenue settlement and sharing). In this regard, the FIWARE Business Framework aims at allowing FIWARE users to enhance their solutions with search, discovery, comparison, monetization and revenue settlement and sharing features. To achieve this objective, the FIWARE Business Framework provides the open specification and APIs of a comprehensive set of components (called Generic Enablers in FIWARE terminology), along with a reference implementation of these APIs,, that can be easily integrated with existing systems in order to create value added applications. At the beginning of the current Master's Thesis, the FIWARE Business Framework was not mature enough to cover the requirements of the its users, since it provided too general models and leaved some key functionality to be implemented by those users. To deal with these issues, the main objective carried out in the context of this Master's Thesis have been enhancing and evolving the FIWARE Business Framework to accomplish with the demands of its users. For achieving the main objective of this Master's Thesis, the FWARE Business Framework has been evaluated using the feedback provided by FIWARE users, mainly SMEs and start-ups, actually using the framework in their solutions, in order to determine a list of requirements and to design a roadmap for the evolution and improvement of the existing framework in the next 6 months. Then, the diferent issues detected have been tackle one by one enhancing them, and trying to give a solution able to cover users requirements. Finally, the results of the project have been evaluated by integrating the evolved FIWARE Business Framework with an existing system in charge of the management of energy consumption data, building what has been called the Energy Consumption Data Market. This has also allowed demonstrating the usefulness of the proposed business framework to evolve CKAN, a renowned open data platform, into an actual, fully- edged data market.

Twitter como fuente de contraste de puntos de interés turístico: Caso de uso la ciudad de Madrid.

Este trabajo trata de evaluar la capacidad de atracción turística de los Puntos de Interés oficiales (POIs) disponibles como datos geográficos abiertos y en las IDE locales mediante la información explícita e implícita de los Tweets geolocalizados. Los estudios sobre turismo tratan de obtener información del potencial turístico de una zona y la valoración de los turistas. Estos estudios tradicionalmente se basan en encuestas o entrevistas personales, realizadas desde entidades públicas o compañías privadas En el caso que nos ocupa existen estudios a nivel de Municipal, de la Comunidad autónoma y de entidades privadas relacionadas con el sector turístico de la cidudad de Madrid por estar considerado un sector estratégico para la economía regional. Las redes sociales, especialmente Twitter, ofrecen un alto potencial para la realización de trabajos de investigación y evaluación de áreas urbanas gracias a la información geográfica digital asociada. Se ha producido una evolución de la Información Geográfica Voluntaria (VGI) acuñada por Goodchild (2007) a la Información Geográfica de Medios Sociales (SMGI) acuñada por Floris y Campagna (2014). Esta nueva fuente de datos derivados, podria complementar la información de los datos públicos de turismo ofrecidos por nodos IDE u Open Data; por ejemplo: ayudaria a la validación de puntos de interés turístico o áreas de la ciudad, mejoraria la actualización de la información y a largo plazo, podria ayudar al desarrollo de estrategias y planes de turismo más eficientes.

A new approach for publishing workflows: abstractions, standards, and linked data

In recent years, a variety of systems have been developed that export the workflows used to analyze data and make them part of published articles. We argue that the workflows that are published in current approaches are dependent on the specific codes used for execution, the specific workflow system used, and the specific workflow catalogs where they are published. In this paper, we describe a new approach that addresses these shortcomings and makes workflows more reusable through: 1) the use of abstract workflows to complement executable workflows to make them reusable when the execution environment is different, 2) the publication of both abstract and executable workflows using standards such as the Open Provenance Model that can be imported by other workflow systems, 3) the publication of workflows as Linked Data that results in open web accessible workflow repositories. We illustrate this approach using a complex workflow that we re-created from an influential publication that describes the generation of 'drugomes'.

Linked Opinions: Describing Sentiments on the Structured Web of Data

In the paper we report on the results of our experiments on the construction of the opinion ontology. Our aim is to show the benefits of publishing in the open, on the Web, the results of the opinion mining process in a structured form. On the road to achieving this, we attempt to answer the research question to what extent opinion information can be formalized in a unified way. Furthermore, as part of the evaluation, we experiment with the usage of Semantic Web technologies and show particular use cases that support our claims.

Exploiting Structured Linked Data in Enterprise Knowledge Management Systems: An Idea Management Case Study

In parallel to the effort of creating Open Linked Data for the World Wide Web there is a number of projects aimed for developing the same technologies but in the context of their usage in closed environments such as private enterprises. In the paper, we present results of research on interlinking structured data for use in Idea Management Systems - a still rare breed of knowledge management systems dedicated to innovation management. In our study, we show the process of extending an ontology that initially covers only the Idea Management System structure towards the concept of linking with distributed enterprise data and public data using Semantic Web technologies. Furthermore we point out how the established links can help to solve the key problems of contemporary Idea Management Systems

Guidelines for multilingual linked data

In this article, we argue that there is a growing number of linked datasets in different natural languages, and that there is a need for guidelines and mechanisms to ensure the quality and organic growth of this emerging multilingual data network. However, we have little knowledge regarding the actual state of this data network, its current practices, and the open challenges that it poses. Questions regarding the distribution of natural languages, the links that are established across data in different languages, or how linguistic features are represented, remain mostly unanswered. Addressing these and other language-related issues can help to identify existing problems, propose new mechanisms and guidelines or adapt the ones in use for publishing linked data including language-related features, and, ultimately, provide metrics to evaluate quality aspects. In this article we review, discuss, and extend current guidelines for publishing linked data by focusing on those methods, techniques and tools that can help RDF publishers to cope with language barriers. Whenever possible, we will illustrate and discuss each of these guidelines, methods, and tools on the basis of practical examples that we have encountered in the publication of the datos.bne.es dataset.

LDP4j: a framework for the development of interoperable read-write linked data applications

Enterprises are increasingly using a wide range of heterogeneous information systems for executing and governing their business activities. Even if the adoption of service orientation has improved loose coupling and reusability, applications are still isolated data silos whose integration requires complex transformations and mediations. However, by leveraging Linked Data principles those data silos can now be seamlessly integrated, and this opens the door to new data-driven approaches for Enterprise Application Integration (EAI). In this paper we present LDP4j, an open souce Java-based framework for the development of interoperable read-write Linked Data applications, based on the W3C Linked Data Platform (LDP) specification.

A Provenance Aware Linked Data Application for Trip Management and Organization

We present El Viajero, an application for exploiting, managing and organizing Linked Data in the domain of news and blogs about travelling. El Viajero makes use of several heterogeneous datasets to help users to plan future trips, and relies on the Open Provenance Model for modeling the provenance information of the resources

Linked Data at the Spanish National Library and the application of IFLA RDFS models

The Spanish National Library (Biblioteca Nacional de España1. BNE) and the Ontology Engineering Group2 of Universidad Politécnica de Madrid are working on the joint project ?Preliminary Study of Linked Data?, whose aim is to enrich the Web of Data with the BNE authority and bibliographic records. To this end, they are transforming the BNE information to RDF following the Linked Data principles3 proposed by Tim Berners Lee.