Ihre E-Mail wurde erfolgreich gesendet. Bitte prüfen Sie Ihren Maileingang.

Leider ist ein Fehler beim E-Mail-Versand aufgetreten. Bitte versuchen Sie es erneut.

Vorgang fortführen?

Exportieren
  • 1
    UID:
    almahu_9947364156302882
    Umfang: XIII, 179 p. , online resource.
    ISBN: 9783642030987
    Serie: Lecture Notes in Computer Science, 5530
    Inhalt: The LNCS Journal on Data Semantics is devoted to the presentation of notable work that, in one way or another, addresses research and development on issues related to data semantics. The scope of the journal ranges from theories supporting the formal definition of semantic content to innovative domain-specific applications of semantic knowledge. The journal addresses researchers and advanced practitioners working on the semantic web, interoperability, mobile information services, data warehousing, knowledge representation and reasoning, conceptual database modeling, ontologies, and artificial intelligence. Volume XIII constitutes a special issue on semantic data warehouses. The papers in this volume address several topics within this relatively new domain, providing different insights into the multiple benefits that can be gained by envisioning data warehouses from a semantic perspective. These papers broach many new ideas to be addressed in future work.
    Anmerkung: Multidimensional Integrated Ontologies: A Framework for Designing Semantic Data Warehouses -- A Unified Object Constraint Model for Designing and Implementing Multidimensional Systems -- Modeling Data Warehouse Schema Evolution over Extended Hierarchy Semantics -- An ETL Process for OLAP Using RDF/OWL Ontologies -- Ontology-Driven Conceptual Design of ETL Processes Using Graph Transformations -- Policy-Regulated Management of ETL Evolution.
    In: Springer eBooks
    Weitere Ausg.: Printed edition: ISBN 9783642030970
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
Schließen ⊗
Diese Webseite nutzt Cookies und das Analyse-Tool Matomo. Weitere Informationen finden Sie auf den KOBV Seiten zum Datenschutz