A5051065782- IoT and Edge/Fog Computing
- Embedded Systems Design Techniques
- Semantic Web and Ontologies
- Cloud Computing and Resource Management
- Scientific Computing and Data Management
- Spreadsheets and End-User Computing
- Customer churn and segmentation
- Distributed and Parallel Computing Systems
- Topic Modeling
- Context-Aware Activity Recognition Systems
- Mobile Health and mHealth Applications
- Service-Oriented Architecture and Web Services
- Teaching and Learning Programming
- Natural Language Processing Techniques
- Logic, Reasoning, and Knowledge
- Mobile Crowdsensing and Crowdsourcing
- Green IT and Sustainability
- Research Data Management Practices
- Real-Time Systems Scheduling
- Formal Methods in Verification
- Data Mining Algorithms and Applications
- Multi-Agent Systems and Negotiation
- AI-based Problem Solving and Planning
- Fuzzy Logic and Control Systems
- Advanced Graph Neural Networks
Fraunhofer Institute for Integrated Circuits
2022-2024
Fraunhofer Center for Applied Research on Supply Chain Services
2024
We present WoT2Pod, an architecture that provides a uniform API for data access and control of IoT devices at the edge in cloud, creating seamless continuum between these environments. The is based on Resource Description Framework (RDF) graphs, Linked Data Platform (LDP) containers, HTTP. created by middleware uses Web Things to interact with devices, maps collected RDF, most recent edge, stores long-term storage sharing third parties Solid Pod cloud layer. establish formalism derive...
We present a demo of Natural Language Interface (NLI) for controlling Internet Things (IoT) devices using the Web (WoT) specification as an intermediate abstraction layer. All interaction information device is stored in Knowledge Graph thing description ontology. The central component NLI sequence-to-sequence neural network model text to code translation. build data corpus based on functionalities Philips Hue smart lamp and use train model. Our demonstration illustrates how control power...