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Comput. Biology Bioinform.","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"volume":11,"status":"public","date_created":"2019-06-26T12:11:13Z","date_updated":"2022-01-06T06:50:36Z","_id":"10318","intvolume":" 11","issue":"6","citation":{"apa":"Stock, M., Fober, T., Hüllermeier, E., Glinca, S., Klebe, G., Pahikkala, T., … Wageman, W. (2014). Identification of Functionally Releated Enzymes by Learning to Rank Methods. IEEE/ACM Trans. Comput. Biology Bioinform., 11(6), 1157–1169.","ama":"Stock M, Fober T, Hüllermeier E, et al. Identification of Functionally Releated Enzymes by Learning to Rank Methods. IEEE/ACM Trans Comput Biology Bioinform. 2014;11(6):1157-1169.","chicago":"Stock, M., T. Fober, Eyke Hüllermeier, S Glinca, G. Klebe, T. Pahikkala, A. Airola, B. De Baets, and W. Wageman. “Identification of Functionally Releated Enzymes by Learning to Rank Methods.” IEEE/ACM Trans. Comput. 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Kleine Büning, “Semi-Automated Software Composition Through Generated Components,” in Proceedings of the 15th International Conference on Information Integration and Web-based Applications & Services (iiWAS), 2013, pp. 676–680.","short":"F. Mohr, H. Kleine Büning, in: Proceedings of the 15th International Conference on Information Integration and Web-Based Applications & Services (IiWAS), 2013, pp. 676–680."},"type":"conference","year":"2013","user_id":"477","ddc":["040"],"abstract":[{"text":"Software composition has been studied as a subject of state based planning for decades. Existing composition approaches that are efficient enough to be used in practice are limited to sequential arrangements of software components. This restriction dramatically reduces the number of composition problems that can be solved. However, there are many composition problems that could be solved by existing approaches if they had a possibility to combine components in very simple non-sequential ways. To this end, we present an approach that arranges not only basic components but also composite components. Composite components enhance the structure of the composition by conditional control flows. Through algorithms that are written by experts, composite components are automatically generated before the composition process starts. Therefore, our approach is not a substitute for existing composition algorithms but complements them with a preprocessing step. We verified the validity of our approach through implementation of the presented algorithms.","lang":"eng"}],"date_created":"2017-10-17T12:42:26Z","status":"public","has_accepted_license":"1","file":[{"file_name":"485-paper86_mohr.pdf","date_created":"2018-03-15T13:56:49Z","access_level":"closed","file_size":368152,"file_id":"1318","creator":"florida","date_updated":"2018-03-15T13:56:49Z","content_type":"application/pdf","success":1,"relation":"main_file"}],"file_date_updated":"2018-03-15T13:56:49Z","publication":"Proceedings of the 15th International Conference on Information Integration and Web-based Applications & Services (iiWAS)","author":[{"full_name":"Mohr, Felix","first_name":"Felix","last_name":"Mohr"},{"last_name":"Kleine Büning","first_name":"Hans","full_name":"Kleine Büning, Hans"}],"doi":"10.1145/2539150.2539235","date_updated":"2022-01-06T07:01:27Z","language":[{"iso":"eng"}],"title":"Semi-Automated Software Composition Through Generated Components","project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Subprojekt B2","_id":"10"},{"_id":"3","name":"SFB 901 - Project Area B"}],"department":[{"_id":"355"}]},{"title":"Reducing Nondeterminism in Automated Service Composition","department":[{"_id":"355"}],"project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Subprojekt B2","_id":"10"},{"_id":"3","name":"SFB 901 - Project Area B"}],"date_updated":"2022-01-06T07:01:30Z","doi":"10.1109/SOCA.2013.25","language":[{"iso":"eng"}],"abstract":[{"text":"Automated service composition has been studied as a subject of state based planning for a decade. A great deal of service composition tasks can only be solved if concrete output values of the services are considered in the composition process. However, the fact that those values are not known before runtime leads to nondeterministic planning problems, which have proven to be notoriously difficult in practical automated service composition applications. Even though this problem is frequently recognized, it has still received remarkably few attention and remains unsolved.This paper shows how nondeterminism in automated service composition can be reduced. We introduce context rules as a means to derive semantic knowledge from output values of services. These rules enable us to replace nondeterministic composition operations by less nondeterministic or even completely deterministic ones. We show the validity of our solutions not only theoretically but also have evaluated them practically through implementation.","lang":"eng"}],"ddc":["040"],"user_id":"477","author":[{"last_name":"Mohr","first_name":"Felix","full_name":"Mohr, Felix"},{"id":"315","last_name":"Lettmann","orcid":"0000-0001-5859-2457","full_name":"Lettmann, Theodor","first_name":"Theodor"},{"first_name":"Hans","full_name":"Kleine Büning, Hans","last_name":"Kleine Büning"}],"publication":"Proceedings of the 6th International Conference on Service Oriented Computing and Applications (SOCA)","file_date_updated":"2018-03-15T13:43:08Z","file":[{"file_name":"495-paper52_mohr.pdf","date_created":"2018-03-15T13:43:08Z","access_level":"closed","file_id":"1314","creator":"florida","file_size":603822,"success":1,"relation":"main_file","content_type":"application/pdf","date_updated":"2018-03-15T13:43:08Z"}],"status":"public","has_accepted_license":"1","date_created":"2017-10-17T12:42:28Z","_id":"495","citation":{"ieee":"F. 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Henzgen, and Eyke Hüllermeier. “Labelwise versus Pairwise Decomposition in Label Ranking.” In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 129–36, 2013.","apa":"Cheng, W., Henzgen, S., & Hüllermeier, E. (2013). Labelwise versus pairwise decomposition in label ranking. In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany (pp. 129–136).","ama":"Cheng W, Henzgen S, Hüllermeier E. Labelwise versus pairwise decomposition in label ranking. In: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany. ; 2013:129-136.","bibtex":"@inproceedings{Cheng_Henzgen_Hüllermeier_2013, title={Labelwise versus pairwise decomposition in label ranking}, booktitle={In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany}, author={Cheng, W. and Henzgen, S. and Hüllermeier, Eyke}, year={2013}, pages={129–136} }","mla":"Cheng, W., et al. “Labelwise versus Pairwise Decomposition in Label Ranking.” In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 129–36.","short":"W. Cheng, S. Henzgen, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 129–136.","ieee":"W. Cheng, S. Henzgen, and E. Hüllermeier, “Labelwise versus pairwise decomposition in label ranking,” in In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 129–136."},"type":"conference","date_updated":"2022-01-06T06:52:32Z","_id":"15752"},{"date_updated":"2022-01-06T06:52:32Z","_id":"15753","citation":{"short":"R. Senge, J. del Coz, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 151–158.","ieee":"R. Senge, J. del Coz, and E. Hüllermeier, “Rectifying classifier chains for multi-label classification, Bamberg, Germany,” in In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 151–158.","chicago":"Senge, Robin, J. del Coz, and Eyke Hüllermeier. “Rectifying Classifier Chains for Multi-Label Classification, Bamberg, Germany.” In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 151–58, 2013.","apa":"Senge, R., del Coz, J., & Hüllermeier, E. (2013). Rectifying classifier chains for multi-label classification, Bamberg, Germany. In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany (pp. 151–158).","ama":"Senge R, del Coz J, Hüllermeier E. Rectifying classifier chains for multi-label classification, Bamberg, Germany. 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