Analisi comparativa di software per la pubblicazione di open data

Lo scopo di questa tesi è quella di analizzare in dettaglio i principali software usati a livello mondiale per la pubblicazione degli open data, per fornire una guida a sviluppatori che non conoscono i programmi adatti a questa fase. La prima parte della tesi sarà concentrata ad introdurre il mondo degli open data, con definizioni, concetti e leggi sull’argomento. La seconda parte sarà invece il fulcro dell’analisi tra diversi software già largamente utilizzati per pubblicare open data.

Un'applicazione mobile di guida turistica context-aware basata su linked open data

In questo elaborato viene presentata Semantic City Guide, un'applicazione mobile di guida turistica basata su Linked Open Data. Si vogliono presentare i principali vantaggi e svantaggi derivati dall'interazione tra sviluppo nativo di applicazioni mobili e tecnologie del Semantic Web. Il tutto verrà contestualizzato esaminando alcuni progetti di aziende ed enti statali operativi nel settore turistico e dell'informatica.

Servizi open data per la mappatura territoriale

L'attenta analisi dei nuovi principi del web semantico e una attenta descrizione delle nuove tecnologie che li accompagnano. Lo sviluppo di un'interessante applicazione per il turismo in grado di sfruttare i servizi open data per la mappatura territoriale.

Analisi delle prestazioni di un codice di calcolo open-source per l'elaborazione dati GNSS in modalità cinematica finalizzata al monitoraggio di strutture e applicazione di filtri sequenziali

Il presente lavoro di tesi si pone come obbiettivo l’elaborazione di dati GNSS in modalità cinematica post-processing per il monitoraggio strutturale e, in una seconda fase, lo studio delle precisioni raggiungibili delle soluzioni ottenute utilizzando algoritmi di post-elaborazione del dato. L’oggetto di studio è la torre Garisenda, situata in piazza Ravegnana, accanto alla torre Asinelli, nel centro storico di Bologna, da tempo oggetto di studi e monitoraggi per via della sua inclinazione particolarmente critica. Per lo studio è stato utilizzato un data set di quindici giorni, dal 15/12/2013 al 29/12/2013 compresi. Per l’elaborazione dei dati è stato utilizzato un software open source realizzato da ricercatori del Politecnico di Milano, goGPS. Quest'ultimo, essendo un codice nuovo, è stato necessario testarlo al fine di poter ottenere dei risultati validi. Nella prima fase della tesi si è quindi affrontato l’aspetto della calibrazione dei parametri che forniscono le soluzioni più precise per le finalità di monitoraggio considerando le possibili scelte offerte dal codice goGPS. In particolare sono stati imposti dei movimenti calibrati e si è osservata la soluzione al variare dei parametri selezionati scegliendo poi quella migliore, ossia il miglior compromesso tra la capacità di individuare i movimenti e il rumore della serie. Nella seconda fase, allo scopo di poter migliorare le precisioni delle soluzioni si sono valutati metodi di correzione delle soluzioni basati sull'uso di filtri sequenziali e sono state condotte analisi sull'incremento di precisione derivante dall'applicazione di tali correzioni.

Open Data and Earth Observations The Case of Opening Up Access to and Use of Earth Observation Data Through the Global Earth Observation System of Systems

Earth observations (EO) represent a growing and valuable resource for many scientific, research and practical applications carried out by users around the world. Access to EO data for some applications or activities, like climate change research or emergency response activities, becomes indispensable for their success. However, often EO data or products made of them are (or are claimed to be) subject to intellectual property law protection and are licensed under specific conditions regarding access and use. Restrictive conditions on data use can be prohibitive for further work with the data. Global Earth Observation System of Systems (GEOSS) is an initiative led by the Group on Earth Observations (GEO) with the aim to provide coordinated, comprehensive, and sustained EO and information for making informed decisions in various areas beneficial to societies, their functioning and development. It seeks to share data with users world-wide with the fewest possible restrictions on their use by implementing GEOSS Data Sharing Principles adopted by GEO. The Principles proclaim full and open exchange of data shared within GEOSS, while recognising relevant international instruments and national policies and legislation through which restrictions on the use of data may be imposed.The paper focuses on the issue of the legal interoperability of data that are shared with varying restrictions on use with the aim to explore the options of making data interoperable. The main question it addresses is whether the public domain or its equivalents represent the best mechanism to ensure legal interoperability of data. To this end, the paper analyses legal protection regimes and their norms applicable to EO data. Based on the findings, it highlights the existing public law statutory, regulatory, and policy approaches, as well as private law instruments, such as waivers, licenses and contracts, that may be used to place the datasets in the public domain, or otherwise make them publicly available for use and re-use without restrictions. It uses GEOSS and the particular characteristics of it as a system to identify the ways to reconcile the vast possibilities it provides through sharing of data from various sources and jurisdictions on the one hand, and the restrictions on the use of the shared resources on the other. On a more general level the paper seeks to draw attention to the obstacles and potential regulatory solutions for sharing factual or research data for the purposes that go beyond research and education.

Outcomes after endovascular or open repair for degenerative descending thoracic aortic aneurysm using linked hospital data.

BACKGROUND The population-based effectiveness of thoracic endovascular aortic repair (TEVAR) versus open surgery for descending thoracic aortic aneurysm remains in doubt. METHODS Patients aged over 50 years, without a history of aortic dissection, undergoing repair of a thoracic aortic aneurysm between 2006 and 2011 were assessed using mortality-linked individual patient data from Hospital Episode Statistics (England). The principal outcomes were 30-day operative mortality, long-term survival (5 years) and aortic-related reinterventions. TEVAR and open repair were compared using crude and multivariable models that adjusted for age and sex. RESULTS Overall, 759 patients underwent thoracic aortic aneurysm repair, mainly for intact aneurysms (618, 81·4 per cent). Median ages of TEVAR and open cohorts were 73 and 71 years respectively (P < 0·001), with more men undergoing TEVAR (P = 0·004). For intact aneurysms, the operative mortality rate was similar for TEVAR and open repair (6·5 versus 7·6 per cent; odds ratio 0·79, 95 per cent confidence interval (c.i.) 0·41 to 1·49), but the 5-year survival rate was significantly worse after TEVAR (54·2 versus 65·6 per cent; adjusted hazard ratio 1·45, 95 per cent c.i. 1·08 to 1·94). After 5 years, aortic-related mortality was similar in the two groups, but cardiopulmonary mortality was higher after TEVAR. TEVAR was associated with more aortic-related reinterventions (23·1 versus 14·3 per cent; adjusted HR 1·70, 95 per cent c.i. 1·11 to 2·60). There were 141 procedures for ruptured thoracic aneurysm (97 TEVAR, 44 open), with TEVAR showing no significant advantage in terms of operative mortality. CONCLUSION In England, operative mortality for degenerative descending thoracic aneurysm was similar after either TEVAR or open repair. Patients who had TEVAR appeared to have a higher reintervention rate and worse long-term survival, possibly owing to cardiopulmonary morbidity and other selection bias.

Using Provenance for Quality Assessment and Repair in Linked Open Data

As the number of data sources publishing their data on the Web of Data is growing, we are experiencing an immense growth of the Linked Open Data cloud. The lack of control on the published sources, which could be untrustworthy or unreliable, along with their dynamic nature that often invalidates links and causes conflicts or other discrepancies, could lead to poor quality data. In order to judge data quality, a number of quality indicators have been proposed, coupled with quality metrics that quantify the “quality level” of a dataset. In addition to the above, some approaches address how to improve the quality of the datasets through a repair process that focuses on how to correct invalidities caused by constraint violations by either removing or adding triples. In this paper we argue that provenance is a critical factor that should be taken into account during repairs to ensure that the most reliable data is kept. Based on this idea, we propose quality metrics that take into account provenance and evaluate their applicability as repair guidelines in a particular data fusion setting.

Publishing Orthology and Diseases Information in the Linked Open Data Cloud

The Linked Data initiative offers a straight method to publish structured data in the World Wide Web and link it to other data, resulting in a world wide network of semantically codified data known as the Linked Open Data cloud. The size of the Linked Open Data cloud, i.e. the amount of data published using Linked Data principles, is growing exponentially, including life sciences data. However, key information for biological research is still missing in the Linked Open Data cloud. For example, the relation between orthologs genes and genetic diseases is absent, even though such information can be used for hypothesis generation regarding human diseases. The OGOLOD system, an extension of the OGO Knowledge Base, publishes orthologs/diseases information using Linked Data. This gives the scientists the ability to query the structured information in connection with other Linked Data and to discover new information related to orthologs and human diseases in the cloud.

Estudio de las posibilidades de los datos abiertos enlazados (Linked Open Data) para la realización de mashups de ámbito geográfico.

La web ha sufrido una drástica transformación en los últimos años, debido principalmente a su popularización y a la enorme cantidad de información que alberga. Debido a estos factores se ha dado el salto de la denominada Web de Documentos, a la Web Semántica, donde toda la información está relacionada con otra. Las principales ventajas de la información enlazada estriban en la facilidad de reutilización, accesibilidad y disponibilidad para ser encontrada por el usuario. En este trabajo se pretende poner de manifiesto la utilidad de los datos enlazados aplicados al ámbito geográfico y mostrar como pueden ser empleados hoy en día. Para ello se han explotado datos enlazados de carácter espacial provenientes de diferentes fuentes, a través de servidores externos o endpoints SPARQL. Además de eso se ha trabajado con un servidor privado capaz de proporcionar información enlazada almacenada en un equipo personal. La explotación de información enlazada se ha implementado en una aplicación web en lenguaje JavaScript, tratando de abstraer totalmente al usuario del tratamiento de los datos a nivel interno de la aplicación. Esta aplicación cuenta además con algunos módulos y opciones capaces de interactuar con las consultas realizadas a los servidores, consiguiendo un entorno más intuitivo y agradable para el usuario. ABSTRACT: In recent years the web has suffered a drastic transformation because of the popularization and the huge amount of stored information. Due to these factors it has gone from Documents web to Semantic web, where the data are linked. The main advantages of Linked Data lie in the ease of his reuse, accessibility and availability to be located by users. The aim of this research is to highlight the usefulness of the geographic linked data and show how can be used at present time. To get this, the spatial linked data coming from several sources have been managed through external servers or also called endpoints. Besides, it has been worked with a private server able to provide linked data stored in a personal computer. The use of linked data has been implemented in a JavaScript web application, trying completely to abstract the internally data treatment of the application to make the user ignore it. This application has some modules and options that are able to interact with the queries made to the servers, getting a more intuitive and kind environment for users.

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.