Topics of Interest

We encourage papers that directly advance the Semantic Web. The relationship to the core area of the conference needs to be clearly described in the submitted work. Submissions beyond the scope will be desk-rejected. Topics in the Semantic Web area include, but are not limited to:

Ontologies and capturing knowledge including:

    Ontology Engineering and ontology patterns
    Ontology modularity, mapping, merging, and alignment
    Information extraction, knowledge graph construction

Representation, management, and applications of Knowledge Graphs (including RDF and property graphs):

    Knowledge Representation and Reasoning
    Search, query, integration, and analysis
    Robust and scalable management
    Information visualization and exploratory analysis
    Databases and ontology-based data access, integration, and exchange on the Web
    Knowledge graph-centered Natural Language Processing, information retrieval, semantic analysis, and Large Language Models 

Integration of the Semantic Web with:

    Machine learning, data mining, and neurosymbolic reasoning
    Generative AI (including Large Language Models) and Agentic AI
    User interfaces, usability, and accessibility
    Data integration, quality assurance, and data provenance
    Social issues, including trust, bias, fairness, privacy, security, and policy
    Web services, process management, social Web, and Internet of Things
    Dynamic and streaming data, including complex event processing and stream reasoning
    Software engineering, algorithms, and decentralized architectures
    Specialized domains (geographical, biomedical, e-Science, multimedia, performing arts, public administration, cultural heritage, law, etc.)
    Artificial Intelligence and hybrid app

Semantic Web Agents including:

    Autonomous systems, including multi-agent systems and robotics
    Architecture characteristics for autonomy exploiting KGs
    Incomplete or conflicting knowledge, beliefs, and assumptions and KGs
    Human-machine social interactions and KGs
    Architecture characteristics for exploiting KGs autonomously
    Development platforms and frameworks for exploiting KGs in an autonomous manner
    Governance of autonomous agents on the Web

We welcome descriptions of contributions that leverage knowledge representation based on Semantic Web standards or other graph data models to improve the acquisition, processing, and sharing of data on the Web. We require authors to explicitly highlight how their work could be applied in a Semantic Web setting.