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ESWC 2027: European Semantic Web Conference

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截稿日期:
2026-12-10 还有 45 天
通知日期:
2027-02-19
会议日期:
2027-05-23
会议地点:
Limassol, Cyprus
届数:
加入日历: Google 日历 · Outlook / Apple 日历（.ics）
CCF: C   ICORE: B   QUALIS: A1   浏览: 50798   关注: 60   参加: 13
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会伴指数 (CP-I)

76.5 / 100
全站第 245 名 / 共 5,759 个会议 · 前 5%

信息系统与 Web 第 13 / 254

学术认可 (35%)
100
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
87
社区关注 (10%)
59
资料公开度 (15%)
55

用到的输入: 收录等级：CCF C, ICORE B, QUALIS A1 · 有据可查的届次：24 · 在会伴关注它的研究者：60 人 · 过去 24 个月打开过本页的研究者：12 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.2 · 算于 2026-10-26

征稿

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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CKnowledge-Based Systems7.2Elsevier0950-7051
CFuture Generation Computer Systems5.9Elsevier0167-739X
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CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
CExpert Systems with Applications7.5Elsevier0957-4174

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