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