openHSU logo
  • English
  • Deutsch
  • Log In
  • Communities & Collections
  1. Home
  2. Helmut-Schmidt-University / University of the Federal Armed Forces Hamburg
  3. Publications
  4. 3 - Publication references (without full text)
  5. Adaptable Interfaces, Interactions, and Processing for Linked Data Platform Components
 
Options
Show all metadata fields

Adaptable Interfaces, Interactions, and Processing for Linked Data Platform Components

Publication date
2017-09-11
Document type
Konferenzbeitrag
Author
Keppmann, Felix Leif
Maleshkova, Maria 
Harth, Andreas
Organisational unit
Karlsruhe Institute of Technology
DOI
10.1145/3132218.3132243
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/16521
ISBN
978-1-4503-5296-3
Conference
13th International Conference on Semantic Systems (Semantics2017) : Amsterdam, Netherlands, September 11 - 14, 2017
Book title
Proceedings of the 13th International Conference on Semantic Systems
First page
41
Last page
48
Part of the university bibliography
Nein
  • Additional Information
Keyword
Distributed parameter control systems
Integration
Internet of things
Semantics
Abstract
Currently, we are witnessing the rise of new technology-driven trends such as the Internet of Things, Web of Things, and Factories of the Future that are accompanied by an increasingly heterogeneous landscape of highly modularized devices and pervasion of network-Accessible "things" within all areas of life. At the same time, we can observe increasing complexity of the task of integrating subsets of heterogeneous components into applications that fulfil certain needs by providing value-Added functionality beyond the pure sum of their components. Enabling integration in these multi-stakeholder scenarios requires new architectural approaches for adapting components, while building on existing technologies and thus ensuring broader acceptance. To this end, we present our approach on adaptation, that introduces adaptable interfaces, interactions, and processing for Linked Data Platform components. In addition, we provide an implementation of our approach that enables the adaptation of components via a thin meta-layer defined on top of the components' domain data and functionality. Finally, we evaluate our implementation by using a distributed benchmark environment and adapting interfaces, interactions, and processing of the involved components at runtime. © 2017 Copyright held by the owner/author(s).
Version
Published version
Access right on openHSU
Metadata only access

  • Cookie settings
  • Privacy policy
  • Send Feedback
  • Imprint