{"date_updated":"2022-01-06T06:59:06Z","status":"public","date_created":"2017-10-17T12:41:55Z","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."}],"_id":"323","page":"1-18","file_date_updated":"2018-03-20T07:39:17Z","language":[{"iso":"eng"}],"type":"journal_article","user_id":"477","year":"2015","title":"An approach towards adaptive service composition in markets of composed services","ddc":["040"],"doi":"10.1186/s13174-015-0022-8","project":[{"_id":"1","name":"SFB 901"},{"_id":"10","name":"SFB 901 - Subprojekt B2"},{"_id":"3","name":"SFB 901 - Project Area B"}],"citation":{"short":"A. Jungmann, F. Mohr, Journal of Internet Services and Applications (2015) 1–18.","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","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.","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.","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.","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} }"},"publication":"Journal of Internet Services and Applications","has_accepted_license":"1","author":[{"first_name":"Alexander","full_name":"Jungmann, Alexander","last_name":"Jungmann"},{"first_name":"Felix","full_name":"Mohr, Felix","last_name":"Mohr"}],"publisher":"Springer","department":[{"_id":"355"}],"file":[{"date_created":"2018-03-20T07:39:17Z","file_id":"1429","file_size":2842281,"date_updated":"2018-03-20T07:39:17Z","relation":"main_file","content_type":"application/pdf","access_level":"closed","creator":"florida","file_name":"323-An_approach_towards_adaptive_service_composition_in_markets_of_composed_services.pdf","success":1}],"issue":"1"}