Chapter RDF
pages:- SemEval-2021 Task 11: NLPContributionGraph - Structuring Scholarly NLP Contributions for a Research Knowledge Graph
- Semi-supervised Human Pose Estimation in Art-historical Images
- SemLAV: Local-As-View Mediation for SPARQL Queries
- SemLAV: Querying Deep Web and Linked Open Data with SPARQL
- SEO: A Scientific Events Data Model
- 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
- Summarizing Entity Temporal Evolution in Knowledge Graphs
- Supervised Video Summarization Via Multiple Feature Sets with Parallel Attention
- Supporting Shared Understanding in Asynchronous Communication Contexts
- 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
- Terminologies in RDM for Engineering – a Service Approach
- The Case for a Common, Reusable Knowledge Graph Infrastructure for NFDI
- The CLEF-2023 CheckThat! Lab: Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority
- The Development of a Data Recommender System for Improving the Discovery of Environmental and Biological Scientific Datasets