Conference Information

ESWC 2027: European Semantic Web Conference

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Submission Date:
2026-12-10 Due in 45 days
Notification Date:
2027-02-19
Conference Date:
2027-05-23
Location:
Limassol, Cyprus
Years:
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CCF: C   ICORE: B   QUALIS: A1   Viewed: 50789   Tracked: 60   Attend: 13
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Conference Partner Index (CP-I)

76.5 / 100
Ranked #245 of 5,759 conferences · Top 5%

#13 of 254 in Information Systems & Web

Academic recognition (35%)
100
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
87
Community attention (10%)
59
Public record completeness (15%)
55

Inputs used: Listed as CCF C, ICORE B, QUALIS A1 · Editions on record: 24 · Researchers following it here: 60 · Researchers who opened this page in the past 24 months: 12

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 80% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.2 · Computed 2026-10-26

Call For Papers

ESWC 2027 (European Semantic Web Conference) is a CCF C / ICORE B / QUALIS A1 conference held in Limassol, Cyprus on 2027-05-23. The paper submission deadline is 2026-12-10. Acceptance notifications are sent on 2027-02-19.

The research track of ESWC 2027 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. Topics 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.
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