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Auflistung nach Autor:in "Magagna, Barbara"

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  • Konferenzbeitrag
    A Common Reference Model for Environmental Science Research Infrastructures
    (Proceedings of the 27th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2013) Chen, Yin; Martin, Paul; Magagna, Barbara; Schentz, Herbert; Zhao, Zhiming; Hardisty, Alex; Preece, Alun; Atkinson, Malcolm; Huber, Robert; Legré, Yannick
    Independent development of research infrastructures leads to unnecessary replication of technologies and solutions whilst the lack of standard definitions makes it difficult to relate experiences in one infrastructure with those of ot hers. The ENVRI Reference Model, www.envri.eu/rm, uses the Open Distributed Processing standard framework in order to model the "archetypical" environmental research infrastructure. The use of the ENVRI -RM to illustrate common characteristics of European ESFRI environmental infrastructures from a number of different perspectives provides a common language for and understanding of environmental research infrastructures, promote technology and solution sharing between infrastructures, and improve interoperability between implemented services .
  • Konferenzbeitrag
    Austrian AQD e-Reporting via INSPIRE Services
    (EnviroInfo & ICT4S, Adjunct Proceedings, 2015) Schleidt, Katharina; Magagna, Barbara; Spangl, Wolfgang; Dünnebeil, Gerhard
    To comply with the recently issued AQD e-Reporting data standards by the European Commission (EC) and the European Environment Agency (EEA), the Austrian Environment Agency (EAA) has, together with the Austrian Institute of Technology (AIT), started the development of INSPIRE compliant download services supporting the full requirements of air quality reporting under European Air Quality Directive 2008/50/EC (AQD). Thus, the Austrian air quality data measured under legal requirements, together with the corresponding measurement metadata and reporting relevant information, will soon be available via real time web-services. One difficult question encountered was which INSPIRE download services to use for which of the features encompassed by the reported datasets. For data flow on air quality zones (B) as well as on air quality assessment metadata (D) it was clear that we would provide these data via a Web Feature Service (WFS), namely the OGC compliant implementation GeoServer. For the data flows C (assessment regime) and G (attainment,) which are purely reporting relevant data, we chose to also use the WFS option for simplicity. For the primary air quality data provided under data flow E we decided to use a Sensor Observation Service (SOS), as this service is far better suited for the provision of time series data. However, there is an area of overlap between the two services, pertaining to the measurement metadata. As the features provided by both services are identical, and the only difference in the response being the service response wrapper, the SOS forwards the request to a coupled WFS, and re-wraps the response before providing it to the client. The SOS used in this solution is a new implementation based on the openUwedat-Framework developed by AIT [1]. This framework provides a harmonized way to wrap virtually any source of time series data by configuring a data handler in a documented way. In addition, the framework is able to deal with semantic information pertaining to individual time series [2] to dynamically influence the fields that should be included in the SOS output such as data quality.
  • Konferenzbeitrag
    Semantics in Ecosystem Research and Monitoring
    (Innovations in Sharing Environmental Observations and Information, 2011) Schentz, Herbert; Peterseil, Johannes; Magagna, Barbara; Mirtl, Michael
    The field of ecology in general, and environmental assessment in particular, demands the sharing of knowledge, information and data. On the European level –on the legal basis of the INSPIRE directive - a framework has been established which enables public access to geo-data in a structurally harmonized way. However, for ecological data the temporal dimension is just as important as the spatial dimension. Some of the existing data integration approaches show that efforts are needed to extend structural harmonization and include semantic harmonization. The sharing of knowledge, information and data implies a common understanding of the meaning of terms and concepts. This requirement has been met by controlled vocabularies, such as species lists and other taxonomies or catalogues of domain terminologies, long before the first computer was built. Current IT technologies have adopted these concepts of controlled vocabularies, and established and published them in digital form, mostly via the world wide web. This has resulted in a lot of benefits, such as accessibility, shared editing and the usability of controlled vocabularies in all sorts of applications. Some of the most prominent vocabularies are GEMET, CORINE Land Cover classes, EUNIS habitat list, Catalogue of Life, SERONTO, OBOE, Observation and Measurement, just to name a few. Those controlled vocabularies can be used in various ways: - As reference lists for scientific publications: e.g.: looking up GEMET concepts in different European languages on the site of the EEA (EIONET) - To tag metadata with keywords using controlled vocabularies by e.g. inserting keywords into an ISO19115 compliant XML document, as demanded by the INSPIRE directive, using SoilThes as a source for the keywords. - Semantic based data management linking data and semantically enriched metadata, e.g. of Integrated Monitoring Austria using the information system MORIS. However, efficient use of these resources is still hampered by the lack of a standardized framework for their interlinkage. The need for such a framework is not specific to the field of ecology or science in general. It is a requirement for all domains dealing with the sharing of information, knowledge and data. Technologies based on internet technologies such as the emerging Linked Data approach are trying to meet this challenge. This article first focuses on the specific needs for the use of semantics in ecological monitoring and gives a rough overview of how these have been met so far, independent of IT solutions. Secondly, we describe some technical approaches to meet these requirements and outline how these approaches are applied to specific solutions. Then we give an outlook on how these solutions could become part of a larger network of linked ecological data.