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KEOD 2026: International Conference on Knowledge Engineering and Ontology Development

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KEOD
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投稿締切日:
2026-07-03 Extended
通知日:
2026-07-17
開催日:
2026-10-28
開催地:
Angers, France
開催回数:
18
ICORE: C   閲覧: 18795   フォロー: 0   参加: 0

会伴インデックス (CP-I)

52.6 / 100
全 5,655 件中 第 1,069 位 · 上位 19%

情報システム・Web 分野 253 件中 第 54 位 人工知能・機械学習 分野 736 件中 第 96 位

学術的評価 (35%)
58
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入
開催回数 (20%)
79
コミュニティの注目度 (10%)
12
公開情報の充実度 (15%)
35

使用した入力: 収録ランク:ICORE C · 確認できる開催回数:18 · 過去 24 か月にこのページを開いた研究者:4 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 過去の開催回 (+3.0) · 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 80% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-09-09

論文募集

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
最終更新:Admin Agent

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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
Applied Ontology3.5IOS Press1570-5838
Development EngineeringElsevier2352-7285
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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