Hinkelmann, Knut

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Knut
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Hinkelmann, Knut

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Gerade angezeigt 1 - 10 von 35
  • Publikation
    A new approach for teaching programming: model-based agile programming (MBAD)
    (ACM, 2023) Telesko, Rainer; Spahic, Maja; Hinkelmann, Knut; Pande, Charuta [in: ICIEI 2023. Proceedings of 2023 The 8th International Conference on Information and Education Innovations]
    Designing courses for introductory programming courses with a heterogeneous audience (business and IT background as well) is a challenging task. In an internal project of the School of Business at the FHNW University of Applied Sciences and Arts Northwestern Switzerland (FHNW) a group of lecturers developed a concept entitled “Model-based agile development” (MBAD) which supports the learning of elementary programming concepts in an agile environment and builds the basis for advanced courses. MBAD will be used as a basic learning module for various Bachelor programs at the FHNW.
    04B - Beitrag Konferenzschrift
  • Publikation
    Analysing barriers in the business ecosystem of European MaaS providers: an actor-network approach
    (2023) Gebhart, Julian; Schlick, Sandra; Marvell, Alan; Gerber, Aurona; Hinkelmann, Knut [in: Proceedings of Society 5.0 Conference 2023]
    As new Mobility as a Service (MaaS) platforms are being established in Europe, researchers and practitioners seek evidence on the barriers experienced by the MaaS providers in their evolving business ecosystem. This paper conceptualises the MaaS business ecosystem using a Systematic Literature Review (SLR) combined with Actor- Network Theory (ANT) by constructing an actor-network of key actors. This actor- network, along with the identified MaaS business ecosystem barriers, is then used for Multiple Case Study Research, interviewing 18 European MaaS experts. The cross-case analysis revealed how MaaS providers problematise, interest, enrol and mobilise their business ecosystems. Furthermore, the paper outlines and amends key barriers in the areas of (1) technology and data, (2) social and cultural, and (3) policy and regulation. Researchers and practitioners can use the findings of this study to formulate policies, create best practices or conduct further research on the development of MaaS.
    04B - Beitrag Konferenzschrift
  • Publikation
    Ontology-driven enhancement of process mining with domain knowledge
    (Sun SITE, Informatik V, RWTH Aachen, 2023) Eichele, Simon; Hinkelmann, Knut; Spahic, Maja; Martin, Andreas; Fill, Hans-Georg; Gerber, Aurona; Hinkelmann, Knut; Lenat, Doug; Stolle, Reinhard; Harmelen, Frank van [in: Proceedings of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023)]
    Process mining is a technique used to analyze and understand business processes. It uses as input the event log, a type of data used to represent the sequence of activities occurring within a business process. An event log typically contains information such as the case ID, the performed activity’s name, the activity’s timestamp, and other data associated with the activity. By analyzing event logs, organizations can gain a deeper understanding of their business processes, identify areas for improvement, and make data-driven decisions to optimize their operations. However, as the event logs contain data collected from different systems involved in the process, such as ERP, CRM, or WfMS systems, they often lack the necessary context and knowledge to analyze and fully comprehend business processes. By extending the event logs with domain knowledge, organizations can gain a more complete and accurate insight into their business processes and make more informed decisions about optimizing them. This paper presents an approach for enhancing process mining with domain knowledge preserved in domain-specific OWL ontologies. Event logs are typically stored in structured form in relational databases. This approach first converts the process data into an event log which is then mapped with ontology concepts. The ontology contains classes and individuals representing background knowledge of the domain, which supports the understanding of the data. A class for the specific activities forms the link between the event log and the ontology. In this manner, it is possible to map the domain knowledge to a particular case and activity. This allows to determine conditions that must be satisfied for executing tasks and to prune discovered process models if they are too complex. This approach is demonstrated using data from the student admission process at FHNW and has been implemented in Protégé.
    04B - Beitrag Konferenzschrift
  • Publikation
    Leading in society 5.0, The 5Co leadership concept
    (2023) Aeschbacher, Marc; Legena, Valeria; Gerber, Aurona; Hinkelmann, Knut [in: Proceedings of society 5.0 conference 2023]
    04B - Beitrag Konferenzschrift
  • Publikation
    A computational literature analysis of conversational AI research with a focus on the coaching domain
    (2022) Pande, Charuta; Fill, Hans-Georg; Hinkelmann, Knut; Hinkelmann, Knut; Gerber, Aurona [in: Proceedings of the Society 5.0 Conference 2022 - Integrating digital world and real world to resolve challenges in business and society]
    We conduct a computational analysis of the literature on Conversational AI. We identify the trend based on all publications until the year 2020. We then concentrate on the publications for the last five years between 2016 and 2020 to find out the top ten venues and top three journals where research on Conversational AI has been published. Further, using the Latent Dirichlet Allocation (LDA) topic modeling technique, we discover nine important topics discussed in Conversational AI literature and specifically two topics related to the area of coaching. Finally, we detect the key authors who have contributed significantly to Conversational AI research and area(s) related to coaching. We determine the key authors' areas of expertise and how the knowledge is distributed across different regions. Our findings show an increasing trend and thus, an interest in Conversational AI research, predominantly from the authors in Europe.
    04B - Beitrag Konferenzschrift
  • Publikation
    Identification and chaining of water accounting data stakeholders
    (EasyChair, 2022) Prater, Ryan; Eisenbart, Barbara; Hinkelmann, Knut; Gerber, Aurona [in: Proceedings of the society 5.0 conference 2022. Integrating digital world and real world to resolve challenges in business and society]
    Purpose – Multiple water accounting techniques exist and suffer from data gaps and misaligned stakeholders which creates standardization and consolidation problems in the data of the industry. This study identifies domain-based stakeholders and defines stakeholder data relationships to improve inter-stakeholder data efficiency. Design/methodology/approach – The research design follows an inductive data collection of qualitative cross-sectional data through semi-structured expert interviews. The recorded interviews were transcribed, thematically coded, and the findings summarized. Findings – The result is an improved specificity of water accounting data stakeholders which have different data input and output requirements. Our research found that these stakeholders can be chained together based on their data relationships which enables identifying inter-stakeholder relationships and improved data efficiency. Social Implications – Water is a vital resource for humans and the United Nations Sustainable Development Goals. More precise description of stakeholders and data factors enable more efficient data flow which can improve the efficacy of terminal impact. Originality/value – The awareness of problem is refined by increasing stakeholder specificity and identifying data input/output requirements. This enables chaining of stakeholders and data to clarify stakeholder data requirements and improve data efficiency for purposes such as collaboration and policy guidance.
    04B - Beitrag Konferenzschrift
  • Publikation
    A hybrid intelligent approach for the support of higher education students in literature discovery
    (2022) Prater, Ryan; Laurenzi, Emanuele; Martin, Andreas; Hinkelmann, Knut; Fill, Hans-Georg; Gerber, Aurona; Lenat, Doug; Stolle, Reinhard; van Harmelen, Frank [in: Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022)]
    In this paper, we present a hybrid intelligent approach that combines knowledge engineering, machine learning, and human intervention to automatically recommend literature resources relevant for a high quality of literature discovery. The primary target group that we aim to support is higher education students in their first experiences with research works. The approach builds a knowledge graph by leveraging a logistic regression algorithm which is first parameterized and then influenced by the interventions of a supervisor and a student, respectively. Both interventions allow continuous learning based on both the supervisor’s preferences (e.g. high score of H-index) and the student’s feedback to the resulting literature resources. The creation of the hybrid intelligent approach followed the Design-Science Research methodology and is instantiated in a working prototype named PaperZen. The evaluation was conducted in two complementary ways: (1) by showing how the design requirements manifest in the prototype, and (2) with an illustrative scenario in which a corpus of a research project was taken as a source of truth. A small subset from the corpus was entered into the PaperZen and Google Scholar, independently. The resulting literature resources were compared with the corpus of a research project and show that PaperZen outperforms Google Scholar
    04B - Beitrag Konferenzschrift
  • Publikation
    Sustainability orientation in business models of Swiss start-ups
    (2021) Milow, Uta; Gerber, Aurona; Hinkelmann, Knut [in: Proceedings of Society 5.0 Conference 2021]
    Research on Sustainable Business Models of start-ups currently focuses on those which pursue a sustainability goal as a main aspect and at least also follow an ethical motivation, possibly in addition to the profit motive. This paper aims to firstly identify useful criteria for describing sustainability in business models and secondly does an investigation on the sustainability orientation and implementation in business models of participating start-ups in the Swiss Innovation Challenge, a business plan competition. As sustainability was no criterion in the application process, many of the start-ups didn’t have a strong sustainability orientation. It will be examined to what extent these start-ups take sustainability aspects into account, and which ones in detail. Secondly, it is examined which business model types are used here in order to identify prevailing types and patterns for start-ups that are not selected for their sustainability orientation. The 25 start-up teams were interviewed with a semi-structured interview guide, including an evaluations of sustainability criteria. Almost all start-ups have a strong profit orientation and many also consider sustainability in their business model, though mostly with only one field of action. The linear business model is dominant and only few start-ups contribute to the circular economy. Another outcome of the survey is that the sustainable business model patterns should be adapted for this target group of start-ups not geared towards sustainability for future research.
    04B - Beitrag Konferenzschrift
  • Publikation
    Challenges of implementing zero waste strategies in the gastronomy industry
    (2021) Daub, Claus-Heinrich; Gerhard, Carole; Altermatt, Monisser; Gerber, Aurona; Hinkelmann, Knut [in: Proceedings of the first international conference on society 5.0]
    This case tells the story of the Café spurlos which aims at becoming a zero waste business and thus making a significant contribution to combating one of the greatest challenges facing society today: the transformation of the eco-nomic system into a circular economy. Besides the COVID-crisis and the thereof resulting issues, the café also faces challenges related to its vision of incorporat-ing the zero waste philosophy in its concept. The case explores the complexity of zero waste, analyses further hurdles for zero waste endeavors in the gastronomy industry and illustrates the constant balancing act of social businesses between staying true to one’s mission and catering to the needs, wants and expectations of the market.
    04B - Beitrag Konferenzschrift
  • Publikation
    Hybrid conversational AI for intelligent tutoring systems
    (Sun SITE, Informatik V, RWTH Aachen, 2021) Pande, Charuta; Witschel, Hans Friedrich; Martin, Andreas; Montecchiari, Devid; Martin, Andreas; Hinkelmann, Knut; Fill, Hans-Georg; Gerber, Aurona; Lenat, Dough; Stolle, Reinhard; Harmelen, Frank van [in: Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021)]
    We present an approach to improve individual and self-regulated learning in group assignments. We focus on supporting individual reflection by providing feedback through a conversational system. Our approach leverages machine learning techniques to recognize concepts in student utterances and combines them with knowledge representation to infer the student’s understanding of an assignment’s cognitive requirements. The conversational agent conducts end-to-end conversations with the students and prompts them to reflect and improve their understanding of an assignment. The conversational agent not only triggers reflection but also encourages explanations for partial solutions.
    04B - Beitrag Konferenzschrift