• DocumentCode
    1185433
  • Title

    Knowledge Discovery in Services

  • Author

    Blake, M. Brian

  • Author_Institution
    Univ. of Notre Dame, Notre Dame, IN
  • Volume
    13
  • Issue
    2
  • fYear
    2009
  • Firstpage
    88
  • Lastpage
    91
  • Abstract
    Service mashups can be useful in understanding Web-scale workflows. Although creating a service mashup shares similar challenges with data integration, a more exciting aspect of this area is the ability to predict which services are viable candidates for a mashup. Such "service mashup recommendations" can enable knowledge discovery, an approach the author calls knowledge discovery in services (KDS).
  • Keywords
    Web services; data mining; Web-scale workflows; data integration; knowledge discovery; service mashup recommendations; Cleaning; Data mining; Filtering; Mashups; OWL; Phase noise; Unified modeling language; Web and internet services; Web services; KDS; Web-Scale Workflow; knowledge discovery and databases; service mashup; service-oriented computing;
  • fLanguage
    English
  • Journal_Title
    Internet Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7801
  • Type

    jour

  • DOI
    10.1109/MIC.2009.39
  • Filename
    4797942
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1185433