A unified description language for human to automated services

Oberle, Daniel, Barros, Alistair P., Kylau, Uwe, & Heinzl, Steffen (2013) A unified description language for human to automated services. Information Systems: databases: their creation, management and utilization, 38(1), pp. 155-181.

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Abstract

Through the rise of cloud computing, on-demand applications, and business networks, services are increasingly being exposed and delivered on the Internet and through mobile communications. So far, services have mainly been described through technical interface descriptions. The description of business details, such as pricing, service-level, or licensing, has been neglected and is therefore hard to automatically process by service consumers. Also, third-party intermediaries, such as brokers, cloud providers, or channel partners, are interested in the business details in order to extend services and their delivery and, thus, further monetize services. In this paper, the constructivist design of the UnifiedServiceDescriptionLanguage (USDL), aimed at describing services across the human-to-automation continuum, is presented. The proposal of USDL follows well-defined requirements which are expressed against a common service discourse and synthesized from currently available servicedescription efforts. USDL's concepts and modules are evaluated for their support of the different requirements and use cases.

Impact and interest:

36 citations in Scopus
23 citations in Web of Science®
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ID Code: 51501
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: Service, Service description language, Business networks, Service networks
DOI: 10.1016/j.is.2012.06.004
ISSN: 0306-4379
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 Elsevier Ltd. All rights reserved.
Deposited On: 09 Jul 2012 23:06
Last Modified: 16 Jul 2017 00:01

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