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Abstract
In the era of Web of Things and services, context-aware services (CASs) are emerging as an important technology for building innovative smart applications. CASs enable the information integration from both the physical and virtual world, which affects the way human live. However, it is still challenging to build CASs, due to lack of context provisioning management approach and lack of generic approach for formalizing the development process. In this paper, we briefly introduce a large research project, ContextServ, which provides a platform for model-driven development of CASs based on a UML-based modelling language. We discuss the literature and also highlight several future research opportunities for context-aware service research and development.
Original language | English |
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Title of host publication | Next-gen digital services |
Subtitle of host publication | a retrospective and roadmap for service computing of the future |
Editors | Marco Aiello, Athman Bouguettaya, Damian Andrew Tamburri, Willem-Jan van den Heuvel |
Place of Publication | Cham, Switzerland |
Publisher | Springer, Springer Nature |
Chapter | 11 |
Pages | 138-152 |
Number of pages | 15 |
ISBN (Electronic) | 9783030732035 |
ISBN (Print) | 9783030732028 |
DOIs | |
Publication status | Published - 2021 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 12521 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Bibliographical note
Funding Information:The ContextServ project has been partially supported by an Australian Research Council (ARC) Discovery Project grant DP0878367. Quan Z. Sheng?s research has been also partially supported by an ARC Future Fellowship FT140101247.
Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
Keywords
- Adaptive services
- Context-aware services
- ContextUML
- Internet of Things
- Model driven development
- Modeling language
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