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KEOD 2026: International Conference on Knowledge Engineering and Ontology Development

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KEOD
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截稿日期:
2026-07-03 Extended
通知日期:
2026-07-17
会议日期:
2026-10-28
会议地点:
Angers, France
届数:
18
ICORE: C   浏览: 18796   关注: 0   参加: 0

会伴指数 (CP-I)

52.6 / 100
全站第 1,069 名 / 共 5,655 个会议 · 前 19%

信息系统与 Web 第 54 / 253 人工智能与机器学习 第 96 / 736

学术认可 (35%)
58
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
79
社区关注 (10%)
12
资料公开度 (15%)
35

用到的输入: 收录等级：ICORE C · 有据可查的届次：18 · 过去 24 个月打开过本页的研究者：4 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 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 1.1 · 算于 2026-09-09

征稿

KEOD 2026 (International Conference on Knowledge Engineering and Ontology Development) is a ICORE C conference held in Angers, France on 2026-10-28. The paper submission deadline is 2026-07-03 (extended). Acceptance notifications are sent on 2026-07-17.

SCOPE Knowledge Engineering (KE) refers to the technical, scientific, and social aspects involved in building, maintaining, and utilizing knowledge-based systems. As a multidisciplinary field, KE draws upon methodologies from artificial intelligence (AI), databases, expert systems, decision support systems, and information systems, with strong ties to software engineering principles. KE also intersects with disciplines like logic, cognitive science, and socio-cognitive engineering. In recent years, the integration of Large Language Models (LLMs) has opened new pathways in ontology development, enabling automated extraction, refinement, and evolution of ontologies. Additionally, the rise of Low-code and No-code Platforms empowers non-experts to participate in ontology engineering, broadening accessibility and fostering innovation. Ontology Development (OD) focuses on building reusable semantic structures such as vocabularies, glossaries, and formal ontologies that specify types of entities and relationships within a domain. These semantic structures are increasingly central to applications like knowledge graphs, digital twins, explainable AI (XAI), and cybersecurity frameworks, where ontologies enhance data integration, decision-making, and system transparency. Current applications of KE and OD include sustainable AI solutions, semantic interoperability in IoT, natural language processing (NLP), and enterprise engineering. Ontologies now play a crucial role in ensuring ethical AI development by mitigating bias and enhancing transparency. The KEOD conference aims to be a major meeting point for researchers and practitioners interested in methodologies and technologies related to Knowledge Engineering and Ontology Development. It encourages the exploration of cutting-edge topics such as LLM-based Ontology Development, Ontology-driven Digital Twins, and Ontology-enhanced Low-code Platforms, fostering dialogue and innovation across academic and industrial spheres. CONFERENCE TOPICS Knowledge Engineering Ontology Engineering Knowledge Acquisition Knowledge Representation Ontologies and Knowledge Graphs Domain Ontologies Ontology Tools Ontology Quality Assurance Ontology Sharing and Reuse Ontology Matching and Alignment Integration and Interoperability LLM-based Ontology Development Semantic Web Ontologies in Low-code and No-code Platforms Natural Language Processing Automated Ontology Learning and Evolution Explainable Artificial Intelligence (XAI) in Ontology Development Applications and Case-Studies Ontologies in Industry Domain Analysis and Modeling Enterprise Engineering Enterprise Ontology Knowledge Graphs and Graph Neural Networks (GNNs) Ontology-driven Digital Twins Reference Models Semantic Interoperability in IoT and Cyber-Physical Systems
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