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.