The research track of ESWC 2025 is looking for contributions addressing theoretical, analytical, and empirical aspects of the Semantic Web, knowledge graphs and semantic technologies in general and their relation with AI. 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:

Semantic Web Foundations and Semantic Technologies

    Knowledge representation, ontologies, rules, shapes, and reasoning (within and beyond Description Logics)
    Ontology analysis and design
    Reuse, modularization, matching, integration, and fusion  of ontologies
    Ontology-based data access

Knowledge Graphs 

    Knowledge graph construction 
    Query processing over knowledge graphs
    Provenance and management
    Reuse, modularization, matching, integration, and fusion of knowledge graphs
    Structured, semi-structured and unstructured data to knowledge graph matching
    Knowledge Graphs construction and probing with Foundational Language Models
    Decentralized and federated knowledge graphs

Artificial Intelligence, Natural Language Processing and Semantics 

    Generative AI and semantics
    Machine learning on or for semantic sources
    Hybrid learning and reasoning systems (explainability, neuro-symbolic)
    Natural Language Processing for semantic sources 
    (Large) Language Models for semantic sources
    Retrieval Augmented Generation with knowledge graphs 
    Representation learning and embeddings for knowledge graphs 

Data Quality, Privacy, and Trust

    Data quality, transparency, ethics and trust
    Fairness and bias 
    Privacy and security

Semantics on the Web and Interoperability

    Linked data
    FAIR data management 
    Internet of things
    Information retrieval
    Data dynamics, streaming data, and mobile platforms
    Science and research data management

Human and Social Aspects

    Social and human aspects of the Semantic Web
    Crowdsourcing and human-in-the-loop for knowledge engineering 
    User interfaces, usability, and accessibility

Positioning and delineations 

    Other tracks: We strongly recommend that prospective authors carefully check the calls of the other main tracks of the conference in order to identify the optimal track for their submission. Papers that propose new algorithms and architectures should continue to be submitted to the regular research track.
    Papers that reuse and apply state-of-the art semantic technology or resources in practical settings should be submitted to the in-use track (i.e., the novelty falls into the in-use application of the semantic technology or resource).
    Authors who want to present an interesting industry application but who do not want to submit a full paper should submit to the industry track.
    Papers describing concrete resources (datasets, ontologies, vocabularies, annotated corpora, workflows, knowledge graphs, evaluation benchmarks, etc.) should be submitted to the resources track.