---
_id: '323'
abstract:
- lang: eng
text: On-the-fly composition of service-based software solutions is still a challenging
task. Even more challenges emerge when facing automatic service composition in
markets of composed services for end users. In this paper, we focus on the functional
discrepancy between “what a user wants” specified in terms of a request and “what
a user gets” when executing a composed service. To meet the challenge of functional
discrepancy, we propose the combination of existing symbolic composition approaches
with machine learning techniques. We developed a learning recommendation system
that expands the capabilities of existing composition algorithms to facilitate
adaptivity and consequently reduces functional discrepancy. As a representative
of symbolic techniques, an Artificial Intelligence planning based approach produces
solutions that are correct with respect to formal specifications. Our learning
recommendation system supports the symbolic approach in decision-making. Reinforcement
Learning techniques enable the recommendation system to adjust its recommendation
strategy over time based on user ratings. We implemented the proposed functionality
in terms of a prototypical composition framework. Preliminary results from experiments
conducted in the image processing domain illustrate the benefit of combining both
complementary techniques.
author:
- first_name: Alexander
full_name: Jungmann, Alexander
last_name: Jungmann
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
citation:
ama: Jungmann A, Mohr F. An approach towards adaptive service composition in markets
of composed services. Journal of Internet Services and Applications. 2015;(1):1-18.
doi:10.1186/s13174-015-0022-8
apa: Jungmann, A., & Mohr, F. (2015). An approach towards adaptive service composition
in markets of composed services. Journal of Internet Services and Applications,
(1), 1–18. https://doi.org/10.1186/s13174-015-0022-8
bibtex: '@article{Jungmann_Mohr_2015, title={An approach towards adaptive service
composition in markets of composed services}, DOI={10.1186/s13174-015-0022-8},
number={1}, journal={Journal of Internet Services and Applications}, publisher={Springer},
author={Jungmann, Alexander and Mohr, Felix}, year={2015}, pages={1–18} }'
chicago: 'Jungmann, Alexander, and Felix Mohr. “An Approach towards Adaptive Service
Composition in Markets of Composed Services.” Journal of Internet Services
and Applications, no. 1 (2015): 1–18. https://doi.org/10.1186/s13174-015-0022-8.'
ieee: A. Jungmann and F. Mohr, “An approach towards adaptive service composition
in markets of composed services,” Journal of Internet Services and Applications,
no. 1, pp. 1–18, 2015.
mla: Jungmann, Alexander, and Felix Mohr. “An Approach towards Adaptive Service
Composition in Markets of Composed Services.” Journal of Internet Services
and Applications, no. 1, Springer, 2015, pp. 1–18, doi:10.1186/s13174-015-0022-8.
short: A. Jungmann, F. Mohr, Journal of Internet Services and Applications (2015)
1–18.
date_created: 2017-10-17T12:41:55Z
date_updated: 2022-01-06T06:59:06Z
ddc:
- '040'
department:
- _id: '355'
doi: 10.1186/s13174-015-0022-8
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-20T07:39:17Z
date_updated: 2018-03-20T07:39:17Z
file_id: '1429'
file_name: 323-An_approach_towards_adaptive_service_composition_in_markets_of_composed_services.pdf
file_size: 2842281
relation: main_file
success: 1
file_date_updated: 2018-03-20T07:39:17Z
has_accepted_license: '1'
issue: '1'
language:
- iso: eng
page: 1-18
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publication: Journal of Internet Services and Applications
publisher: Springer
status: public
title: An approach towards adaptive service composition in markets of composed services
type: journal_article
user_id: '477'
year: '2015'
...