Referenced Items are not available for this document.
In our living environments today, computer networks, computing devices, sensors and many other entities produce a large amount of data to be processed. This data comprise, for example, digital media content, news, computational resources like services, and much more. To be able to exploit this data, a (human or computer) user may utilize digital assistants. In this paper, we present such an assistant for deploying services and obtaining content data. We concentrate especially on how this assistant is able to adapt to changing situations, both, user-driven and in a self-adaptive manner. An experimental evaluation, based on real world digital video providers, demonstrates prerequisites, results, and potential of the various ways of adaptation within the presented approach.
Published in:
Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD '09. Computation World:
Date of Conference: 15-20 Nov. 2009
- Page(s):
- 27 - 32
- E-ISBN :
- 978-0-7695-3862-4
- Print ISBN:
- 978-1-4244-5166-1
- INSPEC Accession Number:
- 11047350
- Conference Location :
- Athens
- Digital Object Identifier :
- 10.1109/ComputationWorld.2009.53
- Product Type:
- Conference Publications
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