{"type":"journal_article","date_updated":"2022-01-06T06:59:06Z","publication":"Journal of Internet Services and Applications","language":[{"iso":"eng"}],"user_id":"477","citation":{"bibtex":"@article{Jungmann_Mohr_2015, title={An approach towards adaptive service composition in markets of composed services}, DOI={<a href=\"https://doi.org/10.1186/s13174-015-0022-8\">10.1186/s13174-015-0022-8</a>}, number={1}, journal={Journal of Internet Services and Applications}, publisher={Springer}, author={Jungmann, Alexander and Mohr, Felix}, year={2015}, pages={1–18} }","short":"A. Jungmann, F. Mohr, Journal of Internet Services and Applications (2015) 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</i>, no. 1 (2015): 1–18. <a href=\"https://doi.org/10.1186/s13174-015-0022-8\">https://doi.org/10.1186/s13174-015-0022-8</a>.","ama":"Jungmann A, Mohr F. An approach towards adaptive service composition in markets of composed services. <i>Journal of Internet Services and Applications</i>. 2015;(1):1-18. doi:<a href=\"https://doi.org/10.1186/s13174-015-0022-8\">10.1186/s13174-015-0022-8</a>","mla":"Jungmann, Alexander, and Felix Mohr. “An Approach towards Adaptive Service Composition in Markets of Composed Services.” <i>Journal of Internet Services and Applications</i>, no. 1, Springer, 2015, pp. 1–18, doi:<a href=\"https://doi.org/10.1186/s13174-015-0022-8\">10.1186/s13174-015-0022-8</a>.","ieee":"A. Jungmann and F. Mohr, “An approach towards adaptive service composition in markets of composed services,” <i>Journal of Internet Services and Applications</i>, no. 1, pp. 1–18, 2015.","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</i>, (1), 1–18. <a href=\"https://doi.org/10.1186/s13174-015-0022-8\">https://doi.org/10.1186/s13174-015-0022-8</a>"},"_id":"323","title":"An approach towards adaptive service composition in markets of composed services","department":[{"_id":"355"}],"publisher":"Springer","author":[{"full_name":"Jungmann, Alexander","last_name":"Jungmann","first_name":"Alexander"},{"last_name":"Mohr","full_name":"Mohr, Felix","first_name":"Felix"}],"status":"public","year":"2015","file":[{"relation":"main_file","access_level":"closed","content_type":"application/pdf","file_size":2842281,"creator":"florida","date_updated":"2018-03-20T07:39:17Z","date_created":"2018-03-20T07:39:17Z","success":1,"file_name":"323-An_approach_towards_adaptive_service_composition_in_markets_of_composed_services.pdf","file_id":"1429"}],"page":"1-18","doi":"10.1186/s13174-015-0022-8","issue":"1","ddc":["040"],"date_created":"2017-10-17T12:41:55Z","file_date_updated":"2018-03-20T07:39:17Z","abstract":[{"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.","lang":"eng"}],"has_accepted_license":"1","project":[{"name":"SFB 901","_id":"1"},{"_id":"10","name":"SFB 901 - Subprojekt B2"},{"name":"SFB 901 - Project Area B","_id":"3"}]}