Documentation of epistemic metadata by a mid-level ontology of cognitive processes

publishedVersio

Social Impact Bonds as a financial innovation – an evolutionary approach

By the end of July, 2017, final reviews of the Peterborough SIB, issued by several persons and institutions involved, declared this pilot SIB project a success which should spur future SIB activities. Against this backdrop, we examine Social Impact Bonds (SIBs) with respect to typical structures of this financial innovation, its delimitation from comparable financial products, and early market development. Furthermore, an evolutionary economic analysis of SIBs is conducted in order to explain the different market stages, conditions and patterns of SIBs in various countries. Analyzing the respective institutional change, we identify various drivers of SIBs’ evolution so far

Mereosemiotics: Parts and signs

For descriptions of cognitive processes, including process models for research data provenance and simulation workflow metadata, a formal notation is developed on the basis of the foundational ontological paradigm of mereosemiotics, i.e., the combination of mereotopology with Peircean semiotics. To demonstrate the viability of the approach, this is applied to extend the pre-existing OWL ontology for a physicalistic interpretation of modelling and simulation - interoperability infrastructure (PIMS-II) by a modal first-order logic axiomatization

European standardization efforts from FAIR toward explainable-AI-ready data documentation in materials modelling

Security critical AI applications require a standardized and interoperable data and metadata documentation that makes the source data explainable-AI ready (XAIR). Within the domain of materials modelling and characterization, European initiatives have proposed a series of metadata standards and procedural recommendations that were accepted as CEN workshop agreements (CWAs): CWA 17284 MODA, CWA 17815 CHADA, and CWA 17960 ModGra. It is discussed how these standards have been ontologized, and gaps are identified as regards the epistemic grounding metadata, i.e., an annotation of data and claims by something that substantiates whether, why, and to what extent they are indeed knowledge and can be relied upon.European standardization efforts from FAIR toward explainable-AI-ready data documentation in materials modellingsubmittedVersio

Mass Transfer through Vapor-Liquid Interfaces Studied by Non-Stationary Molecular Dynamics Simulations

submittedVersio

Data Technology in Materials Modelling

This open access book discusses advances in semantic interoperability for materials modelling, aiming at integrating data obtained from different methods and sources into common frameworks, and facilitating the development of platforms where simulation services in computational molecular engineering can be provided as well as coupled and linked to each other in a standardized and reliable way. The Virtual Materials Marketplace (VIMMP), which is open to all service providers and clients, provides a framework for offering and accessing such services, assisting the uptake of novel modelling and simulation approaches by SMEs, consultants, and industrial R&D end users. Semantic assets presented include the EngMeta metadata schema for research data infrastructures in simulation-based engineering and the collection of ontologies from VIMMP, including the ontology for simulation, modelling, and optimization (OSMO) and the VIMMP software ontology (VISO)

Bringing together materials and business ontologies for protective coatings

publishedVersio

NFDI4Cat: Local and overarching data infrastructures

publishedVersio

OSMO: Ontology for simulation, modelling, and optimization

This work describes the ontology OSMO, i.e., an ontologization and extension of MODA, a workflow metadata standard that constitutes a mandatory requirement within a number of European calls and projects in the context of materials modelling. OSMO was developed within the Horizon 2020 project VIMMP (Virtual Materials Marketplace) and is part of a larger effort in ontology engineering driven by the European Materials Modelling Council, with the Elementary Multiperspective Material Ontology (EMMO) as its core. As such, OSMO provides connections and alignments with other related domain ontologies in computational engineering, including the EMMO itself. This work summarizes the domain, purpose, and design choices underlying OSMO, commenting on the implementation of OSMO and its applications