Conference Paper RDF
pages:- LDOW2017: 10th Workshop on Linked Data on the Web
- Learning analytics
- Learning of OWL Class Descriptions on Very Large Knowledge Bases
- Learning semantic web technologies with the web-based SPARQLTrainer
- Learning through goal setting
- Lernen mit Videos: Das TIB AV-Portal als Repositorium für offene Lernressourcen
- LESS - Template-Based Syndication and Presentation of Linked Data
- Leveraging GPT Models For Semantic Table Annotation
- Leveraging Large Language Models with Multiple Loss Learners for Few-Shot Author Profiling
- Leveraging Ontologies to Document Bias in Data
- Leveraging the Crowdsourcing of Lexical Resources for Bootstrapping a Linguistic Data Cloud
- Licensing of scientific audiovisual media in Germany
- LIMES - A Time-Efficient Approach for Large-Scale Link Discovery on the Web of Data
- LinkDaViz - Automatic Binding of Linked Data to Visualizations
- Linked 'Big' Data: Towards a Manifold Increase in Big Data Value and Veracity
- Linked Data Notifications: A Resource-Centric Communication Protocol
- Linked Open Data Statistics: Collection and Exploitation
- Linked-Data Aware URI Schemes for Referencing Text Fragments
- LinkedGeoData: Adding a Spatial Dimension to the Web of Data
- Linking Data and Knowledge in Enterprises, Research and Society
- Linking Mathematical Software in Web Archives
- LLMs4OL 2024 Datasets: Toward Ontology Learning with Large Language Models
- LLMs4OL 2024 Overview: The 1st Large Language Models for Ontology Learning Challenge
- LLMs4SchemaDiscovery: A Human-in-the-Loop Workflow for Scientific Schema Mining with Large Language Models
- LODFlow: a workflow management system for linked data processing
- LODStats - An Extensible Framework for High-Performance Dataset Analytics
- LODStats: The Data Web Census Dataset
- Luzzu - A Framework for Linked Data Quality Assessment
- Luzzu -- A Framework for Linked Data Quality Assessment
- Make the Most of Your Visual Simulation Data: The TIB AV-Portal Enables Citation of Simulation Results and Increases Their Visibility