Conference Paper RDF
pages:- 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
- Making Finite-State Methods Applicable to Languages Beyond Context-Freeness via Multi-dimensional Trees
- Making Sense of Sensor Data Using Ontology: A Discussion for Residential Building Monitoring
- Making Sense of Sensor Data Using Ontology: A Discussion for Road Vehicle Classification
- Making the Semantic Data Web Easily Writeable with RDFauthor
- Managing Multimodal and Multilingual Semantic Content
- Managing the Life-Cycle of Linked Data with the LOD2 Stack
- Managing Web Content Using Linked Data Principles - Combining Semantic Structure with Dynamic Content Syndication
- Mapping the landscape of digital preservation networks: The nestor Digital Preservation Community survey_20220914
- Mapping XML to OWL Ontologies
- Maritime data technology landscape and value chain exploiting oceans of data for maritime applications
- MAT Learning of Universal Automata
- MateTee: A Semantic Similarity Metric Based on Translation Embeddings for Knowledge Graphs
- Mathematical Videos and Affiliated Supplementaries in TIB’s AV Portal
- Measuring Relatedness Between Scientific Entities in Annotation Datasets
- Measuring the Quality of Relational-to-RDF Mappings
- Metadata for Scientific Audiovisual Media: Current Practices and Perspectives of the TIB|AV-Portal
- Minimally Invasive Semantification of Light Weight Service Descriptions
- MINTE: semantically integrating RDF graphs
- MLearning @ Corvinus University of Budapest
- MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities
- Mobile Learning in Higher Education - An Empirical Study
- Mobile Learning in the Higher Education: The Corvinus Case
- Mobile Learning Research at the Corvinus University of Budapest
- Mobile Learning: The Next Generation of Learning
- Mobile Technologies in Lifelong Learning: Best Practices