Exploiting Codified User Task Knowledge to Discover Services at Design-Time
Konstantinos Zachos,
Angela Kounkou and
Neil A. M. Maiden
Additional contact information
Konstantinos Zachos: Centre for Human Computer Interaction Design, City University London, London, UK
Angela Kounkou: Centre for Human Computer Interaction Design, City University London, London, UK
Neil A. M. Maiden: Centre for Creativity in Professional Practice, City University London, London, UK
International Journal of Systems and Service-Oriented Engineering (IJSSOE), 2012, vol. 3, issue 2, 30-66
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.
Date: 2012
References: Add references at CitEc
Citations:
Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/jssoe.2012040103 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:igg:jssoe0:v:3:y:2012:i:2:p:30-66
Access Statistics for this article
International Journal of Systems and Service-Oriented Engineering (IJSSOE) is currently edited by Wuhui Chen
More articles in International Journal of Systems and Service-Oriented Engineering (IJSSOE) from IGI Global
Bibliographic data for series maintained by Journal Editor ().