Knowledge discovery in services

M. Brian Blake

Research output: Contribution to journalArticle

12 Scopus citations

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).

Original languageEnglish (US)
Pages (from-to)88-91
Number of pages4
JournalIEEE Internet Computing
Volume13
Issue number2
DOIs
StatePublished - Apr 3 2009

Keywords

  • Cleaning
  • Data mining
  • KDS
  • Knowledge discovery and databases
  • Mashups
  • Presses
  • Probability density function
  • Service mashup
  • Service-oriented computing
  • Software
  • Web services
  • Web-scale workflow

ASJC Scopus subject areas

  • Computer Networks and Communications

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