Heterogeneous sensor database framework for the sensor observation service: integrating remote and in-situ sensor observations at the database backend

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.Environmental monitoring and management systems in most cases deal with models and spatial analytics that involve the integration of in-situ and remote sensor observations. In-situ sensor observations and those gathered by remote sensors are usually provided by different databases and services in real-time dynamic service systems like the Geo-Web Services. Thus, data have to be pulled from different databases and transferred over the web before they are fused and processed on the service middleware. This process is very massive and unnecessary communication and work load on the service, especially when retrieving massive raster coverage data. Thus in this research, we propose a database model for heterogeneous sensortypes that enables geo-scientific processing and spatial analytics involving remote and in-situ sensor observations at the database level of the Sensor Observation Service, SOS. This approach would be used to reduce communication and massive workload on the Geospatial Web Service, as well make query request from the user end a lot more flexible. Hence the challenging task is to develop a heterogeneous sensor database model that enables geoprocessing and spatial analytics at the database level and how this could be integrated with the geo-web services to reduce communication and workload on the service and as well make query request from the client end more flexible through the use of SQL statements

Service robotics and machine learning for close-range remote sensing

L'abstract è presente nell'allegato / the abstract is in the attachmen

Real Time Fire Monitoring Using Semantic Web and Linked Open Data Technologies

Στα πλαίσια αυτής της διπλωματικής εργασίας ασχολούμαστε με την εφαρμογή των τεχνολογιών του Σημασιολογικού Ιστού και των Ανοιχτών Συνδεδεμένων Δεδομένων σε εφαρμογές Τηλεπισκόπησης. Παρουσιάζουμε μια εφαρμογή παρακολούθησης πυρκαγιών του Εθνικού Αστεροσκοπείου Αθηνών και εξηγούμε πως βελτιώσαμε αυτή την εφαρμογή με την χρήση των παραπάνω τεχνολογιών. Παρουσιάζουμε το σύστημα σημασιολογικών γεωχωρικών βάσεων δεδομένων Strabon και εξηγούμε πως επεκτείναμε την λειτουργικότητα του για να ικανοποιήσουμε τις ανάγκες που προκύπτουν από μία εφαρμογή Τηλεπισκόπησης όπως η παρακολούθηση πυρκαγιών. Παρουσιάζουμε κάποια γεωχωρικά δεδομένα που μετατρέψαμε σε RDF και δημοσιοποιήσαμε σύμφωνα με τις αρχές των Ανοιχτών Συνδεδεμένων Δεδομένων. Επίσης εξηγούμε πως τα δεδομένα αυτά με την χρήση τους συστήματος Strabon χρησιμοποιήθηκαν για την βελτίωση της ακρίβειας των δεδομένων παρακολούθησης πυρκαγιών και για την ταχεία παραγωγή σχετικών χαρτών. Τέλος παρουσιάζουμε μία αξιολόγηση της βελτιωμένης εφαρμογής.In the context of this thesis we discuss about applying Semantic Web and Linked Open Data technologies to Earth Observations applications. We present a fire monitoring application of the National Observatory of Athens and we explain how we improved this application by using the above technologies. We present the semantic geospatial database system Strabon and we explain how we extended its functionality in order to satisfy the requirements of earth observation applications such as fire monitoring. We present some geospatial datasets which we tranlsated into RDF and we published according to the Linked Open Data principles. Further, we explain how these datasets and the system Strabon were used for improving the accuracy of fire monitoring data and for rapid generation of relevant maps. Finally we present an evaluation of the improved application

Documents, données et méta-données : une approche mixte pour un système de veille

International audienceMots clefs : sources d'information, informations textuelles, données structurées, méta-données, analyse et conception d'un système de veille Keywords: information sources, textual information, structured data, metadata, watch system modeling and design Palabras clave : fuentes de información, información textual, datos estructurados, méta datos, métodos de diseño y diseño de los sistemas de vigilancia Résumé L'exploitation de grandes masses documentaires pour l'élaboration d'un dossier de veille technique nécessite la mise en oeuvre d'un système d'information adapté à la compilation de données multisources. Le retour d'expérience sur l'utilisation du système de veille SILURE au Centre Technique des Systèmes Navals, système présenté dans nos précédentes contributions [Gra97,BG98], nous conduit à étendre la modélisation initiale pour une meilleure prise en compte du contexte documentaire d'où sont extraites les données sélectionnées. L'originalité de cette double approche (« orientée donnée » et « orientée document ») repose sur l'emploi de méta-données relatives à la qualité des données stockées et à celle de leurs sources (intérêt, fiabilité, complétude, fraîcheur). L'exploitation combinée de ces méta-données permet notamment d'affecter les priorités de traitement sur une collection de documents qui va, par une structuration sélective semi-automatique, assurer l'alimentation en données factuelles et référentielles de la base au coeur du système de gestion des informations du domaine ciblé par la démarche de veille

Big Data in Bioeconomy

This edited open access book presents the comprehensive outcome of The European DataBio Project, which examined new data-driven methods to shape a bioeconomy. These methods are used to develop new and sustainable ways to use forest, farm and fishery resources. As a European initiative, the goal is to use these new findings to support decision-makers and producers – meaning farmers, land and forest owners and fishermen. With their 27 pilot projects from 17 countries, the authors examine important sectors and highlight examples where modern data-driven methods were used to increase sustainability. How can farmers, foresters or fishermen use these insights in their daily lives? The authors answer this and other questions for our readers. The first four parts of this book give an overview of the big data technologies relevant for optimal raw material gathering. The next three parts put these technologies into perspective, by showing useable applications from farming, forestry and fishery. The final part of this book gives a summary and a view on the future. With its broad outlook and variety of topics, this book is an enrichment for students and scientists in bioeconomy, biodiversity and renewable resources

The Nexus Between Security Sector Governance/Reform and Sustainable Development Goal-16

This Security Sector Reform (SSR) Paper offers a universal and analytical perspective on the linkages between Security Sector Governance (SSG)/SSR (SSG/R) and Sustainable Development Goal-16 (SDG-16), focusing on conflict and post-conflict settings as well as transitional and consolidated democracies. Against the background of development and security literatures traditionally maintaining separate and compartmentalized presence in both academic and policymaking circles, it maintains that the contemporary security- and development-related challenges are inextricably linked, requiring effective measures with an accurate understanding of the nature of these challenges. In that sense, SDG-16 is surely a good step in the right direction. After comparing and contrasting SSG/R and SDG-16, this SSR Paper argues that human security lies at the heart of the nexus between the 2030 Agenda of the United Nations (UN) and SSG/R. To do so, it first provides a brief overview of the scholarly and policymaking literature on the development-security nexus to set the background for the adoption of The Agenda 2030. Next, it reviews the literature on SSG/R and SDGs, and how each concept evolved over time. It then identifies the puzzle this study seeks to address by comparing and contrasting SSG/R with SDG-16. After making a case that human security lies at the heart of the nexus between the UN’s 2030 Agenda and SSG/R, this book analyses the strengths and weaknesses of human security as a bridge between SSG/R and SDG-16 and makes policy recommendations on how SSG/R, bolstered by human security, may help achieve better results on the SDG-16 targets. It specifically emphasizes the importance of transparency, oversight, and accountability on the one hand, and participative approach and local ownership on the other. It concludes by arguing that a simultaneous emphasis on security and development is sorely needed for addressing the issues under the purview of SDG-16

Ontology based data warehousing for mining of heterogeneous and multidimensional data sources

Heterogeneous and multidimensional big-data sources are virtually prevalent in all business environments. System and data analysts are unable to fast-track and access big-data sources. A robust and versatile data warehousing system is developed, integrating domain ontologies from multidimensional data sources. For example, petroleum digital ecosystems and digital oil field solutions, derived from big-data petroleum (information) systems, are in increasing demand in multibillion dollar resource businesses worldwide. This work is recognized by Industrial Electronic Society of IEEE and appeared in more than 50 international conference proceedings and journals