Sökning: "Data integration"

Visar resultat 11 - 15 av 1294 avhandlingar innehållade orden Data integration.

  1. 11. Integration of building product data with BIM – Semantic representation of product data

    Författare :Rahel Zeleke Kebede; Peter Johansson; Annika Moscati; He Tan; Ekaterina Petrova; Jönköping University; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; BIM; Information exchange; Product data; Semantic web technologies; Linked Data; Design science; BIM; Informationsutbyte; Produktdata; Semantiska Nätverk; Länkad Data; DSR;

    Sammanfattning : The adoption and implementation of Building Information Modelling (BIM), as technologies and processes, in the Architecture, Engineering and Construction (AEC) industry marked a significant step forward in advanced digital transformation. One of the distinctive features of the AEC industry is that it necessitates a collaborative effort between several actors from different domains to realize building projects effectively. LÄS MER

  3. 12. Mining Evolving and Heterogeneous Data : Cluster-based Analysis Techniques

    Författare :Vishnu Manasa Devagiri; Veselka Boeva; Niklas Lavesson; Shehroz Khan; Blekinge Tekniska Högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Domain Adaptation; Evolving Clustering; Heterogeneous Data; Multi-View Clustering; Streaming Data; Computer Science; Datavetenskap;

    Sammanfattning : A large amount of data is generated from fields like IoT, smart monitoring applications, etc., raising demand for suitable data analysis and mining techniques. LÄS MER

  4. 13. Information Needs for Water Resource and Risk Management : Hydro-Meteorological Data Value and Non-Traditional Information

    Författare :Marc Girons Lopez; Jan Seibert; Sven Halldin; Thomas Grabs; Giuliano Di Baldassarre; Elena Toth; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; water management; data resolution; non-traditional data; floods; modelling; social memory; precipitation; runoff; social media; interpolation; data value; gestió de l’aigua; resolució de les dades; dades no tradicionals; inundacions; modelització; memòria social; precipitació; escorrentia; xarxes socials; interpolació; valor de les dades; avrinning; befolkningars minne; dataupplösning; datavärde; interpolering; mjuk information; modellering; nederbörd; sociala medier; vattenförvaltning; översvämning; gestión del agua; resolución de los datos; datos no tradicionales; inundaciones; modelización; memoria social; precipitación; escorrentía; redes sociales; interpolación; valor de los datos; Hydrology; Hydrologi;

    Sammanfattning : Data availability is extremely important for water management. Without data it would not be possible to know how much water is available or how often extreme events are likely to occur. The usually available hydro-meteorological data often have a limited representativeness and are affected by errors and uncertainties. LÄS MER

  5. 14. Geospatial data and knowledge on the Web : Knowledge-based geospatial data integration and visualisation with Semantic Web technologies

    Författare :Weiming Huang; Institutionen för naturgeografi och ekosystemvetenskap; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Geospatial data integration; data visualisation; Semantic Web; Linked Data; ontology;

    Sammanfattning : Geospatial information is indispensable for various types of spatially informed analysis and decision-making, such as traffic analyses, and natural resource management. In addition, geospatial information is one of the most powerful information integrators to bridge diverse sources of information. LÄS MER

  7. 15. A Uniform Query Processing Approach for Integrating Data from Heterogeneous Resources

    Författare :Merja Karjalainen; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Query processing; Functional data model; Rewrite rules; Data integration;

    Sammanfattning : Scientists who need to explore several different databases in theirresearch can find it difficult and tedious to extract and combineinformation from various heterogeneous data sources manually.This is a particular problem for researchers in the life sciences,since technical advances in the last decade have resulted in a dramaticincrease in the quantity and variety of data. LÄS MER