00 Informatik, Wissen, Systeme
Filtern
Dokumenttyp
Sprache
- Englisch (18)
Volltext vorhanden
- ja (18)
Gehört zur Bibliographie
- nein (18)
Schlagworte
- Maschinelles Lernen (5)
- machine learning (4)
- Convolutional Neural Network (3)
- Künstliche Intelligenz (3)
- Alkoholmissbrauch (2)
- Anomalie <Medizin> (2)
- Anomalieerkennung (2)
- App <Programm> (2)
- Intervention <Medizin> (2)
- Jugend (2)
- Nachhaltigkeit (2)
- Software (2)
- alcohol (2)
- anomaly detection (2)
- internet (2)
- young people (2)
- "Visual Knowledge Communication" (research project) (1)
- Agent <Künstliche Intelligenz> (1)
- Algorithmus (1)
- Autofahren (1)
- Autonomer Roboter (1)
- Bild (1)
- Bilderkennung (1)
- Bildverarbeitung (1)
- Branch-and-Bound-Methode (1)
- CNN (1)
- Computeranimation (1)
- DNN (1)
- Deep learning (1)
- Demontage (1)
- Diskriminanzanalyse (1)
- Docker (1)
- EHR (1)
- Elektronische Patientenakte (1)
- Energieverbrauch (1)
- Engagement (1)
- Fahrerassistenzsystem (1)
- Forschungsprojekt (1)
- Fuzzy-Logik (1)
- GA-ANFIS (1)
- GA-FUZZY (1)
- GA-GA-FUZZY (1)
- Gehirn-Computer-Schnittstelle (1)
- Genetischer Algorithmus (1)
- Gesundheitsökonomie (1)
- Green-IT (1)
- Handy (1)
- ICU (1)
- Industrieroboter (1)
- Informatik (1)
- Intensivpflege (1)
- Intensivstation (1)
- Interdisziplinäre Forschung (1)
- Internet (1)
- Internet der Dinge (1)
- Internet of Things (1)
- Kehlkopf (1)
- Klassifikation (1)
- Konturfindung (1)
- Künstliche Beatmung (1)
- Laborparameter (1)
- Medizinische Informatik (1)
- NIR-Spektroskopie (1)
- Neuro-Fuzzy-System (1)
- Neuronales Netz (1)
- Neurowissenschaften (1)
- Nichtlineare Diffusion (1)
- Online-Algorithmus (1)
- Peer Review (1)
- Programmierumgebung (1)
- Prozessmanagement (1)
- Psychologie (1)
- Rapid Prototyping (1)
- Raucherentwöhnung (1)
- Rekursives neuronales Netz (1)
- Robotertechnik (1)
- Selbstorganisierende Karte (1)
- Sepsis (1)
- Soziale Norm (1)
- Statistik (1)
- Stimmband (1)
- Student (1)
- Suchverfahren (1)
- Taxonomie (1)
- Teer (1)
- Unterstützungssystem <Informatik> (1)
- VentAI (1)
- Verteiltes System (1)
- Visuelle Kommunikation (1)
- Wissensvermittlung (1)
- Zigarettenrauch (1)
- adaptive neuro fuzzy system (1)
- animations (1)
- artificial intelligence (1)
- brain-computer interface (1)
- branch and bound search algorithm (1)
- classification (1)
- cluster-management (1)
- containerization (1)
- convolutional neural network (1)
- convolutional neural networks (1)
- critical care (1)
- critically-ill patient (1)
- data-oriented business process (1)
- deep learning (1)
- disassembly plan (1)
- disassembly process (1)
- distributed computing (1)
- driver-assisting system (1)
- driving performance (1)
- edge detection (1)
- energy awareness (1)
- energy-aware software (1)
- engagement taxonomy (1)
- environmental criteria for software (1)
- fingerprint recognition (1)
- fuzzy logic (1)
- genetic algorithm (1)
- green software (1)
- human-robot-collaboration (1)
- image processing (1)
- image recognition (1)
- incremental learning (1)
- indoor localization (1)
- inferencing (1)
- informed software agent (1)
- intelligent robot assistant (1)
- intensive care (1)
- internet of things (1)
- knowledge-intensive process (1)
- lab values (1)
- laryngeal high-speed video (1)
- learning vector quantization (1)
- lightGBM (1)
- linear discriminant analysis (LDA) (1)
- long short-term memory (1)
- maximal function (1)
- medical consumables (1)
- medical economics (1)
- medical informatics (1)
- mobile phone (1)
- model of software impacts (1)
- near-infrared spectroscopy (1)
- nonlinear diffusion (1)
- online learning (1)
- ontology (1)
- peer review process (1)
- problem drinking (1)
- product model (1)
- rapid prototyping (1)
- reinforcement learning algorithm (1)
- resource efficiency (1)
- robot system (1)
- scalability (1)
- self organizing maps (SOM) (1)
- sharp function (1)
- signal processing (1)
- smoking cessation (1)
- social norms (1)
- software energy measurements (1)
- students (1)
- sustainability criteria (1)
- sustainability indicators (1)
- sustainability management (1)
- sustainable software (1)
- tar (1)
- text messaging (1)
- time series classification (1)
- tobacco (1)
- ventilation (1)
- visual programming environments (1)
- vocal fold vibration (1)
- web (1)
- web servers (1)
Modeling and executing knowledge-intensive processes (KiPs) are challenging with state-of-the-art approaches, and the specific demands of KiPs are the subject of ongoing research. In this context, little attention has been paid to the ontology-driven combination of data-centric and semantic business process modeling, which finds additional motivation by enabling the division of labor between humans and artificial intelligence. Such approaches have characteristics that could allow support for KiPs based on the inferencing capabilities of reasoners. We confirm this as we show that reasoners can infer the executability of tasks based on a currently researched ontology- and data-driven business process model (ODD-BP model). Further support for KiPs by the proposed inference mechanism results from its ability to infer the relevance of tasks, depending on the extent to which their execution would contribute to process progress. Besides these contributions along with the execution perspective (start-to-end direction), we will also show how our approach can help to reach specific process goals by inferring the relevance of process elements regarding their support to achieve such goals (end-to-start direction). The elements with the most valuable process progress can be identified in the intersection of both, the execution and goal perspective. This paper will introduce this new approach and verifies its practicability with an evaluation of a KiP in the field of emergency call centers.