Hinkelmann, Knut

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Hinkelmann
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Knut
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Hinkelmann, Knut

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2020 - 202235
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Enddatum: 2022 × Anfangsdatum: 2020 ×

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Gerade angezeigt 1 - 10 von 35
  • Vorschaubild nicht verfügbar
    Publikation
    Fact checking: an automatic end to end fact checking system
    (Springer, 2022) Ahmed, Sajjad; Hinkelmann, Knut; Corradini, Flavio; Lahby, Mohamed; Pathan, Al-Sakib Khan; Maleh, Yassine; Yafooz, Wael Mohamed Shaher [in: Combating fake news with computational intelligence techniques]
    04A - Beitrag Sammelband
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    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
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    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
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    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
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    Publikation
    Enterprise maps: zooming in and out of enterprise models
    (SciTePress, 2022) Spahic, Maja; Hinkelmann, Knut; Filipe, Joaquim; Smialek, Michal; Brodsky, Alexander; Hammoudi, Slimane [in: Proceedings of the 24th International Conference on Enterprise Information Systems]
    A company’s architecture can be represented by domain-specific models, which are defined by domain-specific modeling language. Since not all stakeholders are interested in the same models, dedicated views can be created to support navigation through the enterprise models. These views offer a snippet of the entire company and cover stakeholder-specific concerns. The relationships between the different views and models remain hidden and can be unveiled with much effort. The developed concept of the zoomability principle offers the ability to change the degree of detail using zoom in and out of the enterprise model. The different models and modeling languages used to express an enterprise are considered, and a form of navigation is established similar to an online map. The concept is based on two pillars,”Zoom Within” and”Zoom into Complements”. For this purpose, a metamodel was developed, which formalizes the elements used in the concept and their relationships. Developing the artifact, rules were defined that contribute to a generic approach allowing an application to another case. Furthermore, a prototype was developed, representing the zoomability principle and offering the possibility to perform zooming behavior. The artifact was evaluated through a demonstration. An additional prototype was created to demonstrate that the developed concept can be applied to a predefined set of situations.
    04B - Beitrag Konferenzschrift
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    Publikation
    Towards ontology-based validation of EA principles
    (2022) Montecchiari, Devid; Hinkelmann, Knut; Barn, Balbir S.; Sandkuhl, Kurt [in: The Practice of Enterprise Modeling. 15th IFIP WG 8.1 Working Conference, PoEM 2022, London, UK, November 23-25, 2022. Proceedings]
    04B - Beitrag Konferenzschrift
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    Publikation
    Proceedings of the Society 5.0 Conference 2022 - Integrating digital world and real world to resolve challenges in business and society
    (EasyChair, 2022) Hinkelmann, Knut; Gerber, Aurona [in: Hinkelmann, K. and Gerber, A. (2022): Proceedings of the Society 5.0 Conference 2022 - Integrating Digital World and Real World to Resolve Challenges in Business and Society. EPiC Series in Computing, Volume 84.]
    03 - Sammelband
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    Publikation
    Post-quantum cryptography: an introductory overview and implementation challenges of quantum-resistant algorithms
    (2022) Käppler, Sherdel; Schneider, Bettina; 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]
    Cryptographic algorithms are an essential measure to ensure confidentiality and integrity of internet communication. The development of quantum computers (QCs) and their potential to utilize Shor’s Law, is increasingly recognized as a threat to asymmetric cryptography. In response, post-quantum cryptography (PQC) is gaining prominence as a notable field of research aiming to standardize quantum resistant algorithms before the operational usage of QCs. This paper is addressed to people with preliminary knowledge in the field of cryptography and QC. Based on a literature review, the authors provide an overview of challenges faced by the research community and elaborate the advancements in addressing post-quantum threats. A migration strategy from classical cryptosystems to PQC systems is in development, but obstacles such as time constraints and improper implementation complicate the process. Full implementation could take a decade or more. Until then, our paper aims to create awareness for potential challenges when transitioning towards PQC. As categorization scheme for these potential obstacles, we refer to a well- established model in cybersecurity – the McCumber Cube. Conclusions embrace preparing for risks of improper implementation and deriving a multi-step migration. Special attention is expected to be needed for data migration of existing data sets. As a request for future research in PQC, the authors identified the process of implementing post-cryptography standards, e.g., from the National Institute of Standards and Technology (NIST), and an assessment of the perceived readiness of industry to adapt.
    04B - Beitrag Konferenzschrift
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    Publikation
    Platform-based strategic consulting for digital transformation
    (2022) Gatziu Grivas, Stella; Giovanoli, Claudio; Grasshoff, Gunnar; Imhof, Denis; 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]
    The digital age poses manifold challenges and difficult conditions for all sizes of organizations in all industries. Organizations need to adapt to complex challenges and difficult conditions and to plan and execute their digital transformation strategies. More and more organizations need support by strategic business consulting companies which must be offered in an effective and efficient way so that also small and medium sized companies can profit from it to stay competitive. Our research work focusses on the development of online strategic consulting tools offered as self-services on a web-based platform supporting the definition of digital transformation strategy. The so-called Digital Backpack Assessment (DBA) measures the digital maturity and proposes possible cases for changes. The tool follows the following principles: (1) A holistic approach with focus on the customer orientation, the business models, the organizational excellence, and the operational excellence. (2) An open strategy approach where several stakeholders from the company participate
    04B - Beitrag Konferenzschrift
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    Publikation
    Practice track: a learning tracker using digital biomarkers for autistic preschoolers
    (2022) Sandhu, Gurmit; Kilburg, Anne; Martin, Andreas; Pande, Charuta; Witschel, Hans Friedrich; Laurenzi, Emanuele; Billing, Erik; 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]
    Preschool children, when diagnosed with Autism Spectrum Disorder (ASD), often ex- perience a long and painful journey on their way to self-advocacy. Access to standard of care is poor, with long waiting times and the feeling of stigmatization in many social set- tings. Early interventions in ASD have been found to deliver promising results, but have a high cost for all stakeholders. Some recent studies have suggested that digital biomarkers (e.g., eye gaze), tracked using affordable wearable devices such as smartphones or tablets, could play a role in identifying children with special needs. In this paper, we discuss the possibility of supporting neurodiverse children with technologies based on digital biomark- ers which can help to a) monitor the performance of children diagnosed with ASD and b) predict those who would benefit most from early interventions. We describe an ongoing feasibility study that uses the “DREAM dataset”, stemming from a clinical study with 61 pre-school children diagnosed with ASD, to identify digital biomarkers informative for the child’s progression on tasks such as imitation of gestures. We describe our vision of a tool that will use these prediction models and that ASD pre-schoolers could use to train certain social skills at home. Our discussion includes the settings in which this usage could be embedded.
    04B - Beitrag Konferenzschrift