64 research outputs found

    Towards a configurable framework for iterative signing of distributed graph data

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    When publishing graph data on the web such as vocabularies using RDF(S) or OWL, one has only limited means to verify its authenticity and integrity. Today’s approaches require a high signature overhead and do not allow for an iterative signing of graph data. This paper presents a configurable framework for signing arbitrary graph data provided in RDF(S), Named Graphs, or OWL. Our framework supports signing graph data at different levels of granularity: minimum self-contained graphs (MSG), sets of MSGs, and entire graphs. It supports an iterative signing of graph data, e. g., when different parties provide different parts of a common graph, and allows for signing multiple graphs. Both can be done with a constant, low overhead for the signature graph, even when iteratively signing graph data

    A Pattern-Based Core Ontology for Product Lifecycle Management based on DUL

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    A major challenge in Product Lifecycle Management (PLM) is the exchange of product data across lifecycle phases, information systems, and parties as data formats, structure and quality can vary vastly. Existing approaches focus only on certain phases of PLM, predominantly design and manufacturing, while the subsequent phases of usage/maintenance and disposal are often ignored. However, especially the usage phase is becoming increasingly important for revenue as customer expectation for services beyond the initial purchase of a product is growing. This paper proposes an ontology CO-PLM based on the foundational ontology DOLCE+DnS Ultralite to provide a formal basis for PLM. In contrast to existing approaches, CO-PLM follows an holistic approach covering all phases of PLM and integrates patterns from existing core ontologies

    Towards search on encrypted graph data

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    We present an approach where one can execute user defined SPARQL queries on encrypted graph data. The graph data is only partially revealed to those users authorised for executing a query. The approach is based on eight different types of queries, corresponding to the different binding possibilities in a single SPARQL triple pattern. The allowed queries can be further restricted by the owner of the graph data, e. g., through pre-defining a specific predicate or object. Single triple patterns can be combined to query group patterns as they can be stated in SPARQL queries and allow to execute a wide range of SELECT and ASK queries

    Automatic Roof Plane Detection and Analysis in Airborne Lidar Point Clouds for Solar Potential Assessment

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    A relative height threshold is defined to separate potential roof points from the point cloud, followed by a segmentation of these points into homogeneous areas fulfilling the defined constraints of roof planes. The normal vector of each laser point is an excellent feature to decompose the point cloud into segments describing planar patches. An object-based error assessment is performed to determine the accuracy of the presented classification. It results in 94.4% completeness and 88.4% correctness. Once all roof planes are detected in the 3D point cloud, solar potential analysis is performed for each point. Shadowing effects of nearby objects are taken into account by calculating the horizon of each point within the point cloud. Effects of cloud cover are also considered by using data from a nearby meteorological station. As a result the annual sum of the direct and diffuse radiation for each roof plane is derived. The presented method uses the full 3D information for both feature extraction and solar potential analysis, which offers a number of new applications in fields where natural processes are influenced by the incoming solar radiation (e.g., evapotranspiration, distribution of permafrost). The presented method detected fully automatically a subset of 809 out of 1,071 roof planes where the arithmetic mean of the annual incoming solar radiation is more than 700 kWh/m2

    A Framework for Iterative Signing of Graph Data on the Web

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    Abstract. Existing algorithms for signing graph data typically do not cover the whole signing process. In addition, they lack distinctive features such as signing graph data at different levels of granularity, iterative signing of graph data, and signing multiple graphs. In this paper, we introduce a novel framework for signing arbitrary graph data provided, e g., as RDF(S), Named Graphs, or OWL. We conduct an extensive theoretical and empirical analysis of the runtime and space complexity of different framework configurations. The experiments are performed on synthetic and real-world graph data of different size and different number of blank nodes. We investigate security issues, present a trust model, and discuss practical considerations for using our signing framework

    Unveiling the impact of a CF2 motif in the isothiourea catalyst skeleton : evaluating C(3)-F2-HBTM and its catalytic activity

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    The St Andrews Team (A. D. S., K. K., M. T. W.) thanks the EaSI-CAT centre for Doctoral Training (MTW) and the EPSRC (EP/T023643/1; KK). The Linz team (L. S., A. E., M. W.) gratefully acknowledges generous financial support by the Austrian Science Funds (FWF) through project No. P31784, the Erasmus+ program and the JKU Linz/Upper Austria scheme. The Madrid team (J. A. F.-S., J. A., R. d. R-R.) gratefully acknowledges the Spanish Government (RTI2018-095038-B-100), “Communidad de Madrid” for European Structural Funds (S2018/NMT-4367) and proyectos sinergicos I + D (Y2020/NMT-6469) for funding. J. A. F.-S. thanks the Spanish government for a Ramón y Cajal contract.The incorporation of the CF2 motif within organic structures is known to affect the susceptibility of functional groups to oxidation, as well as altering conformation and reactivity. In this manuscript, the incorporation of the CF2 functional group within an isothiourea catalyst skeleton to give C(3)-F2-HBTM is reported. Effective gram-scale routes to both racemic and enantiopure heterocyclic Lewis bases are developed, with preliminary catalytic and kinetic activity evaluated.Peer reviewe

    LIPAD (LRRK2/Luebeck International Parkinson's Disease) Study Protocol:Deep Phenotyping of an International Genetic Cohort

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    Background: Pathogenic variants in the Leucine-rich repeat kinase 2 (LRRK2) gene are the most common known monogenic cause of Parkinson's disease (PD). LRRK2-linked PD is clinically indistinguishable from idiopathic PD and inherited in an autosomal dominant fashion with reduced penetrance and variable expressivity that differ across ethnicities and geographic regions.Objective: To systematically assess clinical signs and symptoms including non-motor features, comorbidities, medication and environmental factors in PD patients, unaffected LRRK2 pathogenic variant carriers, and controls. A further focus is to enable the investigation of modifiers of penetrance and expressivity of LRRK2 pathogenic variants using genetic and environmental data.Methods: Eligible participants are invited for a personal or online examination which comprises completion of a detailed eCRF and collection of blood samples (to obtain DNA, RNA, serum/plasma, immune cells), urine as well as household dust. We plan to enroll 1,000 participants internationally: 300 with LRRK2-linked PD, 200 with LRRK2 pathogenic variants but without PD, 100 PD patients with pathogenic variants in the GBA or PRKN genes, 200 patients with idiopathic PD, and 200 healthy persons without pathogenic variants.Results: The eCRF consists of an investigator-rated (1 h) and a self-rated (1.5 h) part. The first part includes the Movement Disorder Society Unified Parkinson's Disease Rating, Hoehn &Yahr, and Schwab & England Scales, the Brief Smell Identification Test, and Montreal Cognitive Assessment. The self-rating part consists of a PD risk factor, food frequency, autonomic dysfunction, and quality of life questionnaires, the Pittsburgh Sleep Quality Inventory, and the Epworth Sleepiness as well as the Hospital Anxiety and Depression Scales. The first 15 centers have been initiated and the first 150 participants enrolled (as of March 25th, 2021).Conclusions: LIPAD is a large-scale international scientific effort focusing on deep phenotyping of LRRK2-linked PD and healthy pathogenic variant carriers, including the comparison with additional relatively frequent genetic forms of PD, with a future perspective to identify genetic and environmental modifiers of penetrance and expressivityClinical Trial Registration:ClinicalTrials.gov, NCT04214509

    Giovanni Boccaccio. Italienisch-deutscher Kulturtransfer von der Frühen Neuzeit bis zur Gegenwart

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    Italien und Deutschland – kaum zwei andere Kulturen in Europa sind so stark miteinander verbunden wie diese beiden, sei es geschichtlich oder kulturell. Am wirkmächtigsten war sicherlich die Übernahme des Gedankenguts der italienischen Renaissance, in deren Folge Wissen aus gesellschaftlichen, wissenschaftlichen und kulturellen Bereichen den Weg nach Deutschland fand, darunter auch die Kenntnis von Giovanni Boccaccios Werken, die sich auf deutschsprachige Kontexte auswirkten. Der vorliegende Tagungsband versammelt die Beiträge zur gleichnamigen Tagung „Giovanni Boccaccio. Italienisch-deutscher Kulturtransfer von der Frühen Neuzeit bis zur Gegenwart“ (Bamberg, 21. bis 23. November 2013), die sich mit vielfältigen Aspekten der Boccaccio-Rezeption auseinandersetzen
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