Chapter RDF
pages:- Clustering Semantic Predicates in the Open Research Knowledge Graph
- Collaborative annotation and semantic enrichment of 3D media
- Collaborative Authoring of OpenCourseWare: The Best Practices and Complex Solution
- Combining Learning analytics with Job market intelligence
- Combining Learning Analytics with Job Market Intelligence to Support Learning at the Workplace
- Combining Multiple Knowledge Sources: A Case Study of Drug Induced Liver Injury
- COMET: A Contextualized Molecule-Based Matching Technique
- Community and Training in NFDI4DS
- Comparing Interface Layouts for the Presentation of Multimodal Search Results
- Comparison Between Graph Databases and RDF Engines for Modelling Epidemiological Investigation of Nosocomial Infections
- Comparison of Rectangular Wave Excitations in Broad Band Impedance Spectroscopy for Microfluidic Applications
- Completing Predicates Based on Alignment Rules from Knowledge Graphs
- Computational Approaches for the Interpretation of Image-Text Relations
- Computer Science Named Entity Recognition in the Open Research Knowledge Graph
- Considering Semantics on the Discovery of Relations in Knowledge Graphs
- Content development considerations for task based mobile learning
- Contextualization for Generating FAIR Data: A Dynamic Model for Documenting Research Activities
- Coreference Resolution in Research Papers from Multiple Domains
- Correction to: The Semantic Web
- Courses on Art Appreciation for Mobile Devices
- Creating a Scholarly Knowledge Graph from Survey Article Tables
- Creating and Capturing Artificial Emotions in Autonomous Robots and Software Agents
- Cross-domain multi-task learning for sequential sentence classification in research papers
- Crowdsourcing Scholarly Discourse Annotations
- Curating/Fermenting Data: data workflows for semantic web applications
- Current Challenges for Studying Search as Learning Processes
- Customized and Optimized Service Selection with ProtocolDB
- Customizing Semantic Profiling for Digital Advertising
- D-FOPA: A Dynamic Final Object Pruning Algorithm to Efficiently Produce Skyline Points Over Data Streams
- Das Kompetenzzentrum für nicht-textuelle Materialien an der Technischen Informationsbibliothek