@inproceedings{DrummLemckeOberle2006, author = {Drumm, Christian and Lemcke, Jens and Oberle, Daniel}, title = {Integrating Semantic Web Services and Business Process Management: A Real Use Case}, series = {Proceedings of the ESWC 2006 Workshop Semantics for Business Process Management 2006 (SBPM 2006), June 2006}, booktitle = {Proceedings of the ESWC 2006 Workshop Semantics for Business Process Management 2006 (SBPM 2006), June 2006}, pages = {15 Seiten}, year = {2006}, language = {en} } @inproceedings{KunfermannDrumm2005, author = {Kunfermann, Philipp and Drumm, Christian}, title = {Lifting XML schemas to ontologies - the concept finder algorithm}, series = {MEDIATE 2005 First International Workshop on Mediation in Semantic Web Services Proceedings of the First International Workshop on Mediation in Semantic Web Services (MEDIATE 2005)}, booktitle = {MEDIATE 2005 First International Workshop on Mediation in Semantic Web Services Proceedings of the First International Workshop on Mediation in Semantic Web Services (MEDIATE 2005)}, pages = {113 -- 122}, year = {2005}, language = {en} } @inproceedings{Eggert2019, author = {Eggert, Mathias}, title = {Understanding the acceptance of smart home-based insurances}, series = {Proceedings of the 27th European Conference on Information Systems (ECIS), Stockholm \& Uppsala, Sweden, June 8-14, 2019}, booktitle = {Proceedings of the 27th European Conference on Information Systems (ECIS), Stockholm \& Uppsala, Sweden, June 8-14, 2019}, isbn = {978-1-7336325-0-8}, pages = {1 -- 15}, year = {2019}, language = {en} } @inproceedings{EggertStanke2020, author = {Eggert, Mathias and Stanke, Max-Alexander}, title = {Adoption of Integrated Voice Assistants in Health Care- Requirements and Design Guidelines}, series = {15th International Conference on Wirtschaftsinformatik, March 08-11, 2020 Potsdam, Germany}, booktitle = {15th International Conference on Wirtschaftsinformatik, March 08-11, 2020 Potsdam, Germany}, doi = {10.30844/wi_2020_k2-eggert}, pages = {1 -- 16}, year = {2020}, language = {en} } @inproceedings{EggertEdelbauer2020, author = {Eggert, Mathias and Edelbauer, Thomas Rudolf}, title = {Gamified Information Systems for Assisted Living Facilities - Relevant Design Guidelines, Affordances and Adoption Barriers}, series = {15th International Conference on Wirtschaftsinformatik, March 08-11, 2020 Potsdam, Germany}, booktitle = {15th International Conference on Wirtschaftsinformatik, March 08-11, 2020 Potsdam, Germany}, doi = {10.30844/wi_2020_f3-eggert}, pages = {1 -- 16}, year = {2020}, language = {en} } @inproceedings{EggertDyong2022, author = {Eggert, Mathias and Dyong, Julian}, title = {Applying process mining in small and medium sized IT enterprises - challenges and guidelines}, series = {International Conference on Business Process Management (BPM 2022)}, booktitle = {International Conference on Business Process Management (BPM 2022)}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-16103-2}, doi = {10.1007/978-3-031-16103-2_11}, pages = {125 -- 142}, year = {2022}, abstract = {Process mining gets more and more attention even outside large enterprises and can be a major benefit for small and medium sized enterprises (SMEs) to gain competitive advantages. Applying process mining is challenging, particularly for SMEs because they have less resources and process maturity. So far, IS researchers analyzed process mining challenges with a focus on larger companies. This paper investigates the application of process mining by means of a case study and sheds light into the particular challenges of an IT SME. The results reveal 13 SME process mining challenges and seven guidelines to address them. In this way, the paper contributes to the understanding of process mining application in SME and shows similarities and differences to larger companies.}, language = {en} } @inproceedings{ZaehlBiewendtWolfetal.2022, author = {Z{\"a}hl, Philipp M. and Biewendt, Marcel and Wolf, Martin and Eggert, Mathias}, title = {Requirements for Competence Developing Games in the Environment of SE Competence Development}, series = {Angewandte Forschung in der Wirtschaftsinformatik 2022}, booktitle = {Angewandte Forschung in der Wirtschaftsinformatik 2022}, publisher = {GITO}, address = {Berlin}, isbn = {978-3-95545-409-8}, doi = {10.30844/AKWI_2022_05}, pages = {73 -- 88}, year = {2022}, abstract = {Many of today's factors make software development more and more complex, such as time pressure, new technologies, IT security risks, et cetera. Thus, a good preparation of current as well as future software developers in terms of a good software engineering education becomes progressively important. As current research shows, Competence Developing Games (CDGs) and Serious Games can offer a potential solution. This paper identifies the necessary requirements for CDGs to be conducive in principle, but especially in software engineering (SE) education. For this purpose, the current state of research was summarized in the context of a literature review. Afterwards, some of the identified requirements as well as some additional requirements were evaluated by a survey in terms of subjective relevance.}, language = {en} } @inproceedings{SchulteEggert2021, author = {Schulte, Maximilian and Eggert, Mathias}, title = {Predicting hourly bitcoin prices based on long short-term memory neural networks}, series = {Proceedings of the International Conference on Wirtschaftsinformatik (WI) 2021}, booktitle = {Proceedings of the International Conference on Wirtschaftsinformatik (WI) 2021}, pages = {16 Seiten}, year = {2021}, abstract = {Bitcoin is a cryptocurrency and is considered a high-risk asset class whose price changes are difficult to predict. Current research focusses on daily price movements with a limited number of predictors. The paper at hand aims at identifying measurable indicators for Bitcoin price movement s and the development of a suitable forecasting model for hourly changes. The paper provides three research contributions. First, a set of significant indicators for predicting the Bitcoin price is identified. Second, the results of a trained Long Short-term Memory (LSTM) neural network that predicts price changes on an hourly basis is presented and compared with other algorithms. Third, the results foster discussions of the applicability of neural nets for stock price predictions. In total, 47 input features for a period of over 10 months could be retrieved to train a neural net that predicts the Bitcoin price movements with an error rate of 3.52 \%.}, language = {en} } @inproceedings{EggertKriska2022, author = {Eggert, Mathias and Kriska, Melina}, title = {Gamification for software development processes - relevant affordances and design principles}, series = {Proceedings of the 55th Hawaii International Conference on System Sciences}, booktitle = {Proceedings of the 55th Hawaii International Conference on System Sciences}, publisher = {HICSS Publishing}, address = {Honolulu}, isbn = {978-0-9981331-5-7}, doi = {10.24251/HICSS.2022.200}, pages = {1614 -- 1623}, year = {2022}, abstract = {A Gamified Information System (GIS) implements game concepts and elements, such as affordances and game design principles to motivate people. Based on the idea to develop a GIS to increase the motivation of software developers to perform software quality tasks, the research work at hand aims at investigating relevant requirements from that target group. Therefore, 14 interviews with software development experts are conducted and analyzed. According to the results, software developers prefer the affordances points, narrative storytelling in a multiplayer and a round-based setting. Furthermore, six design principles for the development of a GIS are derived.}, language = {en} } @inproceedings{KohlFreyerKraemeretal.2023, author = {Kohl, Philipp and Freyer, Nils and Kr{\"a}mer, Yoka and Werth, Henri and Wolf, Steffen and Kraft, Bodo and Meinecke, Matthias and Z{\"u}ndorf, Albert}, title = {ALE: a simulation-based active learning evaluation framework for the parameter-driven comparison of query strategies for NLP}, series = {Deep Learning Theory and Applications. DeLTA 2023. Communications in Computer and Information Science}, booktitle = {Deep Learning Theory and Applications. DeLTA 2023. Communications in Computer and Information Science}, editor = {Conte, Donatello and Fred, Ana and Gusikhin, Oleg and Sansone, Carlo}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-39058-6 (Print)}, doi = {978-3-031-39059-3}, pages = {235 -- 253}, year = {2023}, abstract = {Supervised machine learning and deep learning require a large amount of labeled data, which data scientists obtain in a manual, and time-consuming annotation process. To mitigate this challenge, Active Learning (AL) proposes promising data points to annotators they annotate next instead of a subsequent or random sample. This method is supposed to save annotation effort while maintaining model performance. However, practitioners face many AL strategies for different tasks and need an empirical basis to choose between them. Surveys categorize AL strategies into taxonomies without performance indications. Presentations of novel AL strategies compare the performance to a small subset of strategies. Our contribution addresses the empirical basis by introducing a reproducible active learning evaluation (ALE) framework for the comparative evaluation of AL strategies in NLP. The framework allows the implementation of AL strategies with low effort and a fair data-driven comparison through defining and tracking experiment parameters (e.g., initial dataset size, number of data points per query step, and the budget). ALE helps practitioners to make more informed decisions, and researchers can focus on developing new, effective AL strategies and deriving best practices for specific use cases. With best practices, practitioners can lower their annotation costs. We present a case study to illustrate how to use the framework.}, language = {en} }