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KEOD 2026: International Conference on Knowledge Engineering and Ontology Development

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KEOD
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투고 마감일:
2026-07-03 Extended
통보일:
2026-07-17
개최일:
2026-10-28
개최지:
Angers, France
개최 횟수:
18
ICORE: C   조회: 18733   팔로우: 0   참가: 0

회반 지수 (CP-I)

52.6 / 100
전체 5,651개 중 1,059위 · 상위 19%

정보 시스템·웹 분야 253개 중 53위 인공지능·기계학습 분야 735개 중 94위

학술적 인정 (35%)
58
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
79
커뮤니티 관심도 (10%)
12
공개 자료 충실도 (15%)
35

사용한 입력: 수록 등급: ICORE C · 확인되는 개최 횟수: 18 · 지난 24개월 동안 이 페이지를 연 연구자: 4명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
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신뢰도 80% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-05

논문 모집

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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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
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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