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Künstliche Intelligenz 34(3) - September 2020

https://dl.gi.de/handle/20.500.12116/36221
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Auflistung Künstliche Intelligenz 34(3) - September 2020 nach Schlagwort "Data management"

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  • Zeitschriftenartikel
    Connecting Knowledge to Data Through Transformations in KnowID: System Description
    (KI - Künstliche Intelligenz: Vol. 34, No. 3, 2020) Fillottrani, Pablo R.; Jamieson, Stephan; Keet, C. Maria
    Intelligent information systems deploy applied ontologies or logic-based conceptual data models for effective and efficient data management and to assist with decision-making. A core deliberation in the design of such systems, is how to link the knowledge to the data. We recently designed a novel knowledge-to-data architecture (KnowID) which aims to solve this critical step through a set of transformation rules rather than a mapping layer, which operate between models represented in EER notation and an enhanced relational model called the ARM. This system description zooms in on the novel tool for the core component of the transformation from the Artificial Intelligence-oriented modelling to the relational database-oriented data management. It provides an overview of the requirements, design, and implementation of the modular transformations module that straightforwardly permits extension with other components of the modular KnowID architecture.
  • Zeitschriftenartikel
    Ontologies for the Virtual Materials Marketplace
    (KI - Künstliche Intelligenz: Vol. 34, No. 3, 2020) Horsch, Martin Thomas; Chiacchiera, Silvia; Seaton, Michael A.; Todorov, Ilian T.; Šindelka, Karel; Lísal, Martin; Andreon, Barbara; Bayro Kaiser, Esteban; Mogni, Gabriele; Goldbeck, Gerhard; Kunze, Ralf; Summer, Georg; Fiseni, Andreas; Brüning, Hauke; Schiffels, Peter; Cavalcanti, Welchy Leite
    The Virtual Materials Marketplace (VIMMP) project, which develops an open platform for providing and accessing services related to materials modelling, is presented with a focus on its ontology development and data technology aspects. Within VIMMP, a system of marketplace-level ontologies is developed to characterize services, models, and interactions between users; the European Materials and Modelling Ontology is employed as a top-level ontology. The ontologies are used to annotate data that are stored in the ZONTAL Space component of VIMMP and to support the ingest and retrieval of data and metadata at the VIMMP marketplace frontend.