Una aproximación a la integración en Open Data de los recursos INSPIRE de la IDEE.

Este trabajo, «Una aproximación a Ia integración en Open Data de los recursos Inspire de Ia IDEE », tiene por objetivo el construir un puente entre las Infraestructuras de Datos Espaciales (IDE) y el mundo de los «datos abiertos » aprovechando el marco legal de la Reutilización de la Información del Sector Público (RISP). Tras analizar qué es RISP y en particular los datos abiertos, y cómo se implementa en distintas Administraciones, se estudian los requisitos técnicos y legales necesarios para construir el «traductor» que permita canalizar la información IDE en el portal central de reutilización de información español datos.gob.es, dando una mayor visibilidad a los recursos INSPIRE. El trabajo se centra específicamente en dos puntos: en primer lugar en proporcionar y documentar la solución técnica que sirva en primera instancia para que el Instituto Geográfico Nacional aporte con más eficiencia sus recursos a datos.gob.es. En segundo lugar, a estudiar la aplicabilidad de esta misma solución al ámbito de la IDE de España (IDEE), señalando problemas detectados en el análisis de su contenido y sugiriendo recomendaciones para minimizar los problemas de su potencial reutilización. ABSTRACT: This work titled «Analysis of the integration of INSPIRE resources coming from Spanish Spatial Data Infrastructure within the National Public Sector Information portal», aims to build a bridge between the Spatial Data Infrastructures (SDI ) and the world of "Open Data" taking advantage of the legal framework on the Re-use of Public Sector Information (PSI) . After analyzing what PSI reuse and Open Data is and how it is implemented by different administrations, a study to extract the technical and legal requirements is done to build the "translator" that will allow adding SDI resources within the Spanish portal for the PSI reuse data .gob.es while giving greater visibility to INSPIRE. This document specifically focuses on two aspects: first to provide and document the technical solution that serves primarily for the National Geographic Institute to supply more efficiently its resources to datos.gob.es. Secondly, to study the applicability of the proposed solution to the whole Spanish SDI (IDEE), noting identified problems and suggesting recommendations to minimize problems of its potential reuse.

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.

Data consistency management in an open smart home management platform

In this paper, the authors introduce a novel mechanism for data management in a middleware for smart home control, where a relational database and semantic ontology storage are used at the same time in a Data Warehouse. An annotation system has been designed for instructing the storage format and location, registering new ontology concepts and most importantly, guaranteeing the Data Consistency between the two storage methods. For easing the data persistence process, the Data Access Object (DAO) pattern is applied and optimized to enhance the Data Consistency assurance. Finally, this novel mechanism provides an easy manner for the development of applications and their integration with BATMP. Finally, an application named "Parameter Monitoring Service" is given as an example for assessing the feasibility of the system.

Best practises for multilingual linked open data: a community effort

The W3C Best Practises for Multilingual Linked Open Data community group was born one year ago during the last MLW workshop in Rome. Nowadays, it continues leading the effort of a numerous community towards acquiring a shared view of the issues caused by multilingualism on the Web of Data and their possible solutions. Despite our initial optimism, we found the task of identifying best practises for ML-LOD a difficult one, requiring a deep understanding of the Web of Data in its multilingual dimension and in its practical problems. In this talk we will review the progresses of the group so far, mainly in the identification and analysis of topics, use cases, and design patterns, as well as the future challenges.

A comparison of open-source segmentation architectures for dealing with imperfect data from the media in speech synthesis

Traditional Text-To-Speech (TTS) systems have been developed using especially-designed non-expressive scripted recordings. In order to develop a new generation of expressive TTS systems in the Simple4All project, real recordings from the media should be used for training new voices with a whole new range of speaking styles. However, for processing this more spontaneous material, the new systems must be able to deal with imperfect data (multi-speaker recordings, background and foreground music and noise), filtering out low-quality audio segments and creating mono-speaker clusters. In this paper we compare several architectures for combining speaker diarization and music and noise detection which improve the precision and overall quality of the segmentation.

Open business intelligence: on the importance of data quality awareness in user-friendly data mining

Citizens demand more and more data for making decisions in their daily life. Therefore, mechanisms that allow citizens to understand and analyze linked open data (LOD) in a user-friendly manner are highly required. To this aim, the concept of Open Business Intelligence (OpenBI) is introduced in this position paper. OpenBI facilitates non-expert users to (i) analyze and visualize LOD, thus generating actionable information by means of reporting, OLAP analysis, dashboards or data mining; and to (ii) share the new acquired information as LOD to be reused by anyone. One of the most challenging issues of OpenBI is related to data mining, since non-experts (as citizens) need guidance during preprocessing and application of mining algorithms due to the complexity of the mining process and the low quality of the data sources. This is even worst when dealing with LOD, not only because of the different kind of links among data, but also because of its high dimensionality. As a consequence, in this position paper we advocate that data mining for OpenBI requires data quality-aware mechanisms for guiding non-expert users in obtaining and sharing the most reliable knowledge from the available LOD.

Open Season for Data Fishing on the Web: The Challenges of the US PRISM Programme for the EU. CEPS Policy Brief No. 293, 18 June 2013

The revelation of the top-secret US intelligence-led PRISM Programme has triggered wide-ranging debates across Europe. Press reports have shed new light on the electronic surveillance ‘fishing expeditions’ of the US National Security Agency and the FBI into the world’s largest electronic communications companies. This Policy Brief by a team of legal specialists and political scientists addresses the main controversies raised by the PRISM affair and the policy challenges that it poses for the EU. Two main arguments are presented: First, the leaks over the PRISM programme have undermined the trust that EU citizens have in their governments and the European institutions to safeguard and protect their privacy; and second, the PRISM affair raises questions regarding the capacity of EU institutions to draw lessons from the past and to protect the data of its citizens and residents in the context of transatlantic relations. The Policy Brief puts forward a set of policy recommendations for the EU to follow and implement a robust data protection strategy in response to the affair.

Ferramentas open source de Data Mining

Em época de crise financeira, as ferramentas open source de data mining representam uma nova tendência na investigação, educação e nas aplicações industriais, especialmente para as pequenas e médias empresas. Com o software open source, estas podem facilmente iniciar um projeto de data mining usando as tecnologias mais recentes, sem se preocuparem com os custos de aquisição das mesmas, podendo apostar na aprendizagem dos seus colaboradores. Os sistemas open source proporcionam o acesso ao código, facilitando aos colaboradores a compreensão dos sistemas e algoritmos e permitindo que estes o adaptem às necessidades dos seus projetos. No entanto, existem algumas questões inerentes ao uso deste tipo de ferramenta. Uma das mais importantes é a diversidade, e descobrir, tardiamente, que a ferramenta escolhida é inapropriada para os objetivos do nosso negócio pode ser um problema grave. Como o número de ferramentas de data mining continua a crescer, a escolha sobre aquela que é realmente mais apropriada ao nosso negócio torna-se cada vez mais difícil. O presente estudo aborda um conjunto de ferramentas de data mining, de acordo com as suas características e funcionalidades. As ferramentas abordadas provém da listagem do KDnuggets referente a Software Suites de Data Mining. Posteriormente, são identificadas as que reúnem melhores condições de trabalho, que por sua vez são as mais populares nas comunidades, e é feito um teste prático com datasets reais. Os testes pretendem identificar como reagem as ferramentas a cenários diferentes do tipo: performance no processamento de grandes volumes de dados; precisão de resultados; etc. Nos tempos que correm, as ferramentas de data mining open source representam uma oportunidade para os seus utilizadores, principalmente para as pequenas e médias empresas, deste modo, os resultados deste estudo pretendem ajudar no processo de tomada de decisão relativamente às mesmas.

Storet II : storage and retrieval of data for open water and land areas /

Mode of access: Internet.

Fourth National Information Day and Workshop: Open Access to Scientific Information and Data

The paper presents in brief the “2nd Generation Open Access Infrastructure for Research in Europe” project (http://www.openaire.eu/) and what is done in Bulgaria during the last year in the area of open access to scientific information and data.

Key Aspects and Approaches of Open Access, Open Data and Open Science

Overview of the key aspects and approaches to open access, open data and open science, emphasizing on sharing scientific knowledge for sustainable progress and development.

Open Research Data

Open Research Data - A step by step guide through the research data lifecycle, data set creation, big data vs long-tail, metadata, data centres/data repositories, open access for data, data sharing, data citation and publication.

Policy Framework and Roadmap for Open Access, Open Research Data and Open Science

Overview of the growth of policies and a critical appraisal of the issues affecting open access, open data and open science policies. Example policies and a roadmap for open access, open research data and open science are included.

Open Access to Publications and Research Data in Horizon 2020: What Are the Requirements and How Can Institutional Repositories and OpenAIRE Help to Meet Them?

In the last decade the principle of Open Access to publicly funded research has been getting a growing support from policy makers and funders across Europe, both at national level and within the European Union context. At European level some of the first relevant steps taken by the European Research Council (ERC) with a statement supporting Open Access (2006), shortly followed by guidelines for researchers funded by the ERC (2007) stating that all peer-reviewed publications from ERC funded projects should be made openly accessible shortly after their publication. Those guidelines were revised in October 2013, reinforcing the mandatory character of the requirements and expanding them to monographs.

The Fifth National Information Day: Open Access to Scientific Information and Data

This work was supported in part by the EU „2nd Generation Open Access Infrastructure for Research in Europe" (OpenAIRE+). The autumn training school Development and Promotion of Open Access to Scientific Information and Research is organized in the frame of the Fourth International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage—DiPP2014 (September 18–21, 2014, Veliko Tarnovo, Bulgaria, http://dipp2014.math.bas.bg/), organized under the UNESCO patronage. The main organiser is the Institute of Mathematics and Informatics, Bulgarian Academy of Sciences with the support of EU project FOSTER (http://www.fosteropenscience.eu/) and the P. R. Slaveykov Regional Public Library in Veliko Tarnovo, Bulgaria.