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Auflistung nach Schlagwort "environmental data"

1 - 2 von 2
  • Konferenzbeitrag
    Determination of Citizen Groups and Added Value for a Daily-Integrated Environmental Information Portal
    (EnviroInfo 2023, 2023) Akyol, Ali; Dorkaev, Eugenia; Gómez, Jorge Marx
    Environmental and climate protection are becoming increasingly important in society. Despite the advancement of digitization in recent years, the publicly available environmental information portals (EIP) in Germany are not technically up-to-date and fall short of expectations. A thorough investigation of requirements and citizen groups is essential for the development of a novel environmental information portal. This work deals with the identification of the requirements and various citizen groups, especially the general public. Based on these findings, a concept for a tailored environmental information portal is developed. The first chapter, the introduction, addresses the motivation, the problem statement, and the research questions. Subsequently, the current state of research on environmental information and environmental information portals is examined. In the third chapter, the results of survey studies on the identification of citizen groups and their requirements are discussed. Based on this, a concept of a demand-driven environmental information portal tailored to the identified citizen groups is presented. In the concluding part, a summary and an outlook on further research areas of this work are provided.
  • Textdokument
    A pragmatic approach to concept-based annotation of scientific names in biodiversity and environmental research data
    (INFORMATIK 2021, 2021) Kohlbecker,Andreas; Güntsch, Anton; Kilian, Norbert; Kusber, Wolf-Henning; Luther, Katja; Müller, Andreas; von Raab-Straube, Eckhard; Berendsohn, Walter
    With the increasing amount of interdisciplinary and international networks dedicated to long-term persistence and interoperability of research data, the demand for semantic linking of environmental research data has grown. Data related to organisms frequently inherit a major obstacle. Organisms often are ambiguously identified by using only the scientific name, which is not a precise identifier for the taxonomic concept that is implicitly being used. Here we describe a robust taxon concept definition that allows deducing a set of rules for semi-automatically managing concepts. These rules define specific taxonomic operations as transition points at which new taxon concepts emerge from former concepts. Implemented into the business logic of taxon management systems, these rules can assure the stability of taxon concepts so that environmental data sets can be reliably annotated with the corresponding persistent identifier. Our approach limits the risk that referenced taxon concepts are modified unnoticed.