The research track of ESWC 2024 is looking for contributions addressing theoretical, analytical, and empirical aspects of the Semantic Web, knowledge graphs and semantic technologies in general. We also encourage contributions at the intersection of these domains and other scientific disciplines. Submissions to the research track should describe novel, significant research, and are expected to provide a principled evaluation.
Submissions are solicited in the following domains of interest:
Foundational Semantic Web research
Knowledge representation, ontologies, rules, and reasoning (within and beyond Description Logics)
Data quality, bias, transparency, and trust
Ontology analysis and design
Knowledge graphs: provenance, embeddings, management, query processing, and automated construction
Machine learning on or for semantic data
Hybrid learning and reasoning systems (explainability, neuro-symbolic)
Matching, integration, and fusion of ontologies and knowledge graphs
Reuse and modularization of ontologies and knowledge graphs
Tabular data to knowledge graph matching
NLP, language models, and information retrieval
Linked data
Ontology-based data access, and distributed data access
Data dynamics, internet of things, streaming data, and mobile platforms
Social and human aspects of the Semantic Web
Privacy and security
Science and research data management
User interfaces, usability and accessibility