Knowledge discovery in services

M. Brian Blake

doi:10.1109/MIC.2009.39

Knowledge discovery in services

M. Brian Blake

Executive Payroll

Research output: Contribution to journal › Article › peer-review

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 language	English (US)
Pages (from-to)	88-91
Number of pages	4
Journal	IEEE Internet Computing
Volume	13
Issue number	2
DOIs	https://doi.org/10.1109/MIC.2009.39
State	Published - 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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10.1109/MIC.2009.39

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AB - 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).

KW - Cleaning

KW - Data mining

KW - KDS

KW - Knowledge discovery and databases

KW - Mashups

KW - Presses

KW - Probability density function

KW - Service mashup

KW - Service-oriented computing

KW - Software

KW - Web services

KW - Web-scale workflow

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JF - IEEE Internet Computing

SN - 1089-7801

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ER -

Knowledge discovery in services

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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