---
_id: '25107'
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. <i>Journal of Internet Services and Applications 6(1)</i>.
    Published online 2015:1-18.
  apa: Jungmann, A., &#38; Mohr, F. (2015). An approach towards adaptive service composition
    in markets of composed services. <i>Journal of Internet Services and Applications
    6(1)</i>, 1–18.
  bibtex: '@article{Jungmann_Mohr_2015, title={An approach towards adaptive service
    composition in markets of composed services}, journal={Journal of Internet Services
    and Applications 6(1)}, 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.” <i>Journal of Internet Services
    and Applications 6(1)</i>, 2015, 1–18.
  ieee: A. Jungmann and F. Mohr, “An approach towards adaptive service composition
    in markets of composed services,” <i>Journal of Internet Services and Applications
    6(1)</i>, pp. 1–18, 2015.
  mla: Jungmann, Alexander, and Felix Mohr. “An Approach towards Adaptive Service
    Composition in Markets of Composed Services.” <i>Journal of Internet Services
    and Applications 6(1)</i>, 2015, pp. 1–18.
  short: A. Jungmann, F. Mohr, Journal of Internet Services and Applications 6(1)
    (2015) 1–18.
date_created: 2021-09-29T09:39:32Z
date_updated: 2022-01-06T06:56:51Z
department:
- _id: '672'
language:
- iso: eng
page: 1-18
publication: Journal of Internet Services and Applications 6(1)
status: public
title: An approach towards adaptive service composition in markets of composed services
type: journal_article
user_id: '21240'
year: '2015'
...