Chapter RDF
pages:- IWILDS'22 -- Third International Workshop on Investigating Learning During Web Search
- Jointly Linking Visual and Textual Entity Mentions with Background Knowledge
- Keep Your Stakeholders Engaged: Interactive Vision Videos in Requirements Engineering
- KGMM - A Maturity Model for Scholarly Knowledge Graphs Based on Intertwined Human-Machine Collaboration
- KnowGraph-MDM: A Methodology for Knowledge-Graph-based Master Data Management
- Knowledge Extraction from Structured Sources
- Knowledge Graph Creation Challenge: Results for SDM-RDFizer
- Knowledge Graphs for Semantically Integrating Cyber-Physical Systems
- Knowledge-as-a-Service: A Community Knowledge Base for Research Infrastructures in Environmental and Earth Sciences
- Kooperation oder Wettbewerb. Oder: Ist Kooperation der neue Wettbewerb?
- Labour Market Information Driven, Personalized, OER Recommendation System for Lifelong Learners
- Langzeitarchivierung
- Leibniz Data Manager – A Research Data Management System
- Leveraging a Federation of Knowledge Graphs to Improve Faceted Search in Digital Libraries
- Leveraging Terminology Services for FAIR Semantic Data Integration Across NFDI Domains
- LibraryThing – die kollaborative Bibliothek 2.0
- LILE2019
- LiQuate-Estimating the Quality of Links in the Linking Open Data Cloud
- Literatur recherchieren und verwalten
- Magic Rewritings for Efficiently Processing Reactivity on Web Ontologies
- Managing Knowledge in Energy Data Spaces
- Mapping Large Scale Research Metadata to Linked Data: A Performance Comparison of HBase, CSV and XML
- MapSDI: A Scaled-Up Semantic Data Integration Framework for Knowledge Graph Creation
- MARE: Semantic Supply Chain Disruption Management and Resilience Evaluation Framework
- Mashups und Bibliotheken
- Medical Image Rendering and Description Driven by Semantic Annotations
- Meetings and Mood – Related or Not? Insights from Student Software Projects
- Metadata Analysis of Open Educational Resources
- Metadata Analysis of Scholarly Events of Computer Science, Physics, Engineering, and Mathematics
- Mining Symbolic Rules to Explain Lung Cancer Treatments