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Sökning: LAR1:uu > Konferensbidrag > Risch Tore

  • Resultat 1-10 av 83
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  • Andrejev, Andrej, et al. (författare)
  • Scientific data as RDF with arrays : Tight integration of SciSPARQL queries into MATLAB
  • 2014
  • Ingår i: Proc. ISWC 2014 Posters & Demonstrations Track. - : RWTH Aachen University. ; , s. 221-224
  • Konferensbidrag (refereegranskat)abstract
    • We present an integrated solution for storing and querying scientific data and metadata, using MATLAB envi ronment as client front-end and our prototype DBMS on the server. We use RDF for experiment metadata, and numeric arrays for the rest. Our extension of SPARQL supports array operations and extensibility with foreign functions.
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  • Andrejev, Andrej, et al. (författare)
  • Spatio-Temporal Gridded Data Processing on the Semantic Web
  • 2015
  • Ingår i: 2015 IEEE International Conference On Data Science And Data Intensive Systems. - 9781509002146 ; , s. 38-45
  • Konferensbidrag (refereegranskat)abstract
    • Multidimensional array data, such as remote-sensing imagery and timeseries, climate model simulations, telescope observations, and medical images, contribute massively to virtually all science and engineering domains, and hence play a key role in 'Big Data' challenges. Pure array storage management and analytics is relatively well understood today. However, arrays in practice never come alone, but are accompanied by metadata, including domain, range, provenance information, etc. The structure of this metadata is far less regular than arrays or tables, and may be incomplete or different from one array instance to another. Particularly in the field of the Semantic Web such integrated representations must convey a sufficiently complete and reasonable semantics for machine-machine communication. We show how the Resource Description Framework (RDF), the Semantic Web graph model for metadata, can be leveraged for such data/metadata integration specifically for representing spatio-temporal grid data. Based on the notion of a coverage as established by the Open Geospatial Consortium (OGC) we present a hybrid data store where efficiently represented arrays are incorporated as nodes into RDF graphs and connected to their metadata. We have extended the Semantic Web query language SPARQL to incorporate array query semantics and other functionality making it suitable for processing of large numeric arrays, including geo coverages.
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  • Badiozamany, Sobhan, 1983-, et al. (författare)
  • Framework for real-time clustering over sliding windows
  • 2016
  • Ingår i: Proc. 28th International Conference on Scientific and Statistical Database Management. - New York : ACM Press. - 9781450342155 ; , s. 1-13
  • Konferensbidrag (refereegranskat)
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  • Badiozamany, Sobhan, et al. (författare)
  • Scalable ordered indexing of streaming data
  • 2012
  • Ingår i: 3rd International Workshop on Accelerating Data Management Systems using Modern Processor and Storage Architectures. ; , s. 11-
  • Konferensbidrag (refereegranskat)
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  • Cassel, Kristofer, et al. (författare)
  • An Object-Oriented Multi-Mediator Browser
  • 2001
  • Ingår i: 2nd International Workshop on User Interfaces to Data Intensive Systems.
  • Konferensbidrag (refereegranskat)
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  • Resultat 1-10 av 83

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