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Music Rights Clearance Business Analysis and Delivery

Pedrinaci, Carlos; Baida, Ziv; Akkermans, Hans; Bernaras, Amaia; Gordijn, Jaap and Smithers, Tim (2005). Music Rights Clearance Business Analysis and Delivery. In: E-Commerce and Web Technologies, pp. 198–207.

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Semantic Web Services can be seen as remote Problem Solving Methods offered via the Web through platform and language independent interfaces. They can be seamlessly integrated to achieve more complex functionality by composing pre-existing software components. Despite technical advantages surrounding Semantic Web Services technologies, their perspective overlooks the commercial aspects of services in the real – non-IT – world, and is therefore incomplete and limiting. Real-world services – business activities such as insurances, medical services, ADSL etc – have nowadays an increasing social and economic importance. Important trends are the bundling of services and a growing customer-need orientation. Thus, there is a need for a computational background for describing real-world services and applying knowledge-based technologies for reasoning about them: configuring composite services and analysing them from a business perspective. We have developed ontologies and software tools to fill this gap, and applied them to industrial case studies. We present here a case study from the music industry, going from the analysis of a new business scenario to the development of an application called Xena that coordinates IT infrastructures in order to provide a profitable service that reflects major business principles. As opposed to currently proposed solutions in the Semantic Web Services community, our system is an automated implementation of a real-world service where important business decisions can be traced back.

Item Type: Conference or Workshop Item
Copyright Holders: 2005 Springer
ISSN: 0302-9743
Extra Information: The original publication is available at

ISBN: 978-3-540-28467-3
Series: LNCS Vol 3590 p.198-207
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 28639
Depositing User: Kay Dave
Date Deposited: 16 May 2011 13:01
Last Modified: 14 Apr 2018 16:07
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