• DocumentCode
    1693761
  • Title

    Semantic Data Integration and Relationship Identification Using the Hierarchical Structure of a Domain-Specific Taxonomy

  • Author

    Nadschläger, Stefan ; Kosorus, Hilda ; Regner, Peter ; Küng, Josef

  • Author_Institution
    Inst. of Appl. Knowledge Process., Johannes Kepler Univ., Linz, Austria
  • fYear
    2012
  • Firstpage
    48
  • Lastpage
    52
  • Abstract
    In this paper we present an architecture for integrating IT-Service-Management-data and a method for relationship identification using a domain-specific taxonomy. This knowledge can be used for semantic data integration by automatically accessing different data sources and identifying dependencies between various IT-Service-items. This can be done by using existing categories and documents to build up a taxonomy, extracting keywords and mapping these keywords to existing data assets. To show the functionality, we created a simple taxonomy and tried to identify the relationships between various assets.
  • Keywords
    data mining; information technology; knowledge management; text analysis; IT-service-management-data; asset relationship; data asset; data source access; dependency identification; domain-specific taxonomy; hierarchical structure; keyword extraction; keyword mapping; relationship identification; semantic data integration; service knowledge management architecture; Computer architecture; Ontologies; Random access memory; Semantics; Subscriptions; Taxonomy; data integration; information technology management; semantic technology; taxonomy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications (DEXA), 2012 23rd International Workshop on
  • Conference_Location
    Vienna
  • ISSN
    1529-4188
  • Print_ISBN
    978-1-4673-2621-6
  • Type

    conf

  • DOI
    10.1109/DEXA.2012.13
  • Filename
    6327402