Designing and building context-aware services: the ContextServ project

Quan Z. Sheng*, Jian Yu, Wei Emma Zhang, Shuang Wang, Xiaoping Li, Boualem Benatallah

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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 languageEnglish
Title of host publicationNext-gen digital services
Subtitle of host publicationa retrospective and roadmap for service computing of the future
EditorsMarco Aiello, Athman Bouguettaya, Damian Andrew Tamburri, Willem-Jan van den Heuvel
Place of PublicationCham, Switzerland
PublisherSpringer, Springer Nature
Chapter11
Pages138-152
Number of pages15
ISBN (Electronic)9783030732035
ISBN (Print)9783030732028
DOIs
Publication statusPublished - 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12521 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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