In the current environment, where the Covid-19 pandemic has exposed the vulnerabilities of the incumbent paper-based trade and supply chain finance systems, digital transformation pledges to alleviate the friction on international trade. Here, we provide a timely review of state-of-the-art industry applications and theoretical perspectives on the use of blockchain as the medium toward digitalisation for supply chain finance systems. We argue that blockchain technology has an innovation promoting role in supply chain finance solutions through reducing inefficiencies and increasing visibility between different parties, which have hitherto constituted the main challenges in this sphere. Based on a review of the academic literature as well as an analysis of the industrial solutions that have emerged, we identify and discuss the financial, operational and legal challenges encountered in supply chain financing and the promise of blockchain to address these limitations. We discuss the bottlenecks as well as the benefits of blockchain and identify some necessary conditions required for the emergence of blockchain-enabled trade and supply chain financing, such as the establishment of co-opetition among supply chain actors, integration with IoT systems for data quality, and reform of regulatory and legal frameworks. We conclude by identifying promising research directions about the implementation process, inviting further research into the transformation of business models toward a more collaborative nature.
SEO-DWARF (Semantic Earth Observation Data Web Alert and Retrieval Framework) is a project funded by the European Union Horizon 2020 research and innovation programme. The main objective of the project is to realize the content-based search of Earth Observation (EO) images on an application specific basis. The satellite images, which come from EO satellites such as Sentinels 1, 2 and 3, as well as ENVISAT, are distributed with few correlated meta-data which do not describe the phenomena and the objects included in the image. Innovative approaches to process remote sensing images can extract relevant information which semantically describes the land type, the region area border, objects and events such as oil spill. This information can be modeled as structured information through ontologies to be processed by algorithms to perform information retrieval and filtering. The proposed system is aware of the semantic elements which are relevant for final user and will be able to answer natural language queries such as "Show me the images of the Mediterranean Sea which include an algal bloom". The possibility to retrieve a specific set of land images starting from a query expressed by a final user can quickly increase the interoperability and the diffusion of applications able to efficiently use EO data. In this work, we present a brief overview of the most successful application of this formalization strategy focusing on the tools and approaches for creating a robust and efficient domain geo-ontology. Furthermore, we describe the approach adopted to define the specific ontology used in the SEO-DWARF project, including the strategy adopted for implementing and populating it.
Το θέμα της παρούσης διατριβής εξαντλείται στην έρευνα και ερμηνεία των όρων εκείνων και των μοτίβων, βάσει των οποίων ο Ξενοφών προσπαθεί να περιγράψει το μοντελο του ιδανικού ηγεμονος. Στη συγκεκριμένη εργασία γίνεται παράθεση των χαρακτηριστικών αυτών, όπως τα φέρει, αρχικώς, ο Κύρος ο Μέγας, ο βασιλέας της Περσίας, και επιδιώκεται να συσχετιστούν με άλλα, αναλόγου περιεχομένου, χαρακτηριστιικά γνωρίσματα, που διακρίνει κανείς στα πρόσωπα και άλλων ηγετών, όπως ο Αγησίλαος, και απλών ανθρώπων, όπως ο επικεφαλής του ιππικού, στον "Ιππαρχικό" του Ξενοφώντος, αλλά και αλλού. Γίνεται, συνεπώς, μια πλήρη καταγραφή των ιδιοτήτων αυτών σε όλο το Ξενοφώντειο έργο, η οποία συντελεί στο να διαμορφώσει ο αναγνώστης μια πλήρη εικόνα του ιδεώδους ηγέτη, όπως τον αντιλαμβάνεται ο ιστορικός.
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