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 | |
| 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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Cite this
Blake, M. B. (2009). Knowledge discovery in services. IEEE Internet Computing, 13(2), 88-91. https://doi.org/10.1109/MIC.2009.39