Chapter RDF
pages:- SemLAV: Querying Deep Web and Linked Open Data with SPARQL
- SemMatch: Semantics-Aware Matching for Causal Inference over Knowledge Graphs
- SEO: A Scientific Events Data Model
- SerVCS: Serialization Agnostic Ontology Development in Distributed Settings
- SHACL Constraint Validation during SPARQL Query Processing
- SHACL-ACL: Access Control with SHACL
- Simulation of the measurement of the impedance of aqueous droplets in segmented flow
- SlideImages: A Dataset for Educational Image Classification
- SlideWiki – Towards a Collaborative and Accessible Platform for Slide Presentations
- SmartReviews: Towards Human- and Machine-Actionable Representation of Review Articles
- SmartReviews: Towards Human- and Machine-Actionable Reviews
- SMS question-answer system
- SoccerNet 2022 Challenges Results
- Software Citation Needed — Infrastructure Remixing
- Software Professionals’ Attitudes Towards Video as a Medium in Requirements Engineering
- Source selection and ranking in the websemantics architecture using quality of data metadata
- SPaRKLE : Symbolic caPtuRing of knowledge for Knowledge graph enrichment with LEarning
- Speicherung & Datenverwaltung in Produktion und Archiv
- Squerall: Virtual Ontology-Based Access to Heterogeneous and Large Data Sources
- Structuring Scientific Knowledge in Software Engineering Using the Open Research Knowledge Graph
- Summarizing Entity Temporal Evolution in Knowledge Graphs
- Supervised Video Summarization Via Multiple Feature Sets with Parallel Attention
- Supporting Shared Understanding in Asynchronous Communication Contexts
- SWARM-SLR - Streamlined Workflow Automation for Machine-Actionable Systematic Literature Reviews
- Synergien und Herausforderungen bei der Integration von Repositorien mit Forschungsinformations- systemen
- Taxonomy and the Production of Semantic Phenotypes
- Team SVMrank: Leveraging Feature-rich Support Vector Machines for Ranking Explanations to Elementary Science Questions
- Technologies and Applications for Big Data Value
- Text mining in career studies: generating insights from unstructured textual data
- The Case for a Common, Reusable Knowledge Graph Infrastructure for NFDI