Name
Abstract | ||
|---|---|---|
Most techniques for engineering service-based applications do not explicitly exploit knowledge about users and their tasks. In this paper the authors hypothesize that codified knowledge about user tasks can improve service discovery at design-time. It reports the extension of an existing service discovery algorithm to match service queries to user task models then reformulate the service queries with task-specific knowledge in order to improve discovery precision and recall scores. An empirical investigation of the extended algorithm revealed that, in order to deliver significant benefits, user task models need to describe more context-specific knowledge with which to extend service queries. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.4018/jssoe.2012040103 | IJSSOE |
Keywords | Field | DocType |
service query,discovery precision,service discovery,user task model,exploiting codified user task,authors hypothesize,task-specific knowledge,existing service discovery algorithm,user task,discover services,context-specific knowledge,extended algorithm | Service design,Data mining,Service based applications,Computer science,Precision and recall,Knowledge management,Exploit,Service discovery | Journal |
Volume | Issue | Citations |
3 | 2 | 1 |
PageRank | References | Authors |
0.35 | 23 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Konstantinos Zachos | 1 | 131 | 15.64 |
| Angela Kounkou | 2 | 1 | 0.35 |
| Neil A. M. Maiden | 3 | 2419 | 207.41 |