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8月04日 - 2025年8月07日

排名: C (CORE2023)Offline

International Conference on Knowledge Science, Engineering and Management

更新于:12 days ago
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The 18th International Conference on Knowledge Science, Engineering and Management (KSEM 2025) will be held at Wynn Palace, Macao SAR, China on August 4-7, 2025. This interdisciplinary conference provides a forum for researchers in knowledge science, knowledge engineering, and knowledge management to exchange ideas and report state-of-the-art research results. KSEM is a CCF recommended Conferences (C series, Artificial Intelligence).

论文征集

KSEM 2025: Call for Papers

The 18th International Conference on Knowledge Science, Engineering and Management (KSEM 2025) will be held in Wynn Palace, Macao SAR, China on August 4-7, 2025.

The aim of this interdisciplinary conference is to provide a forum for researchers in the broad areas of knowledge science, knowledge engineering, and knowledge management to exchange ideas and to report state of the art research results. KSEM is in the list of CCF (China Computer Federation) recommended Conferences (C series, Artificial Intelligence).

Important Dates

EventDate
Paper Submission DueMarch 20, 2025 (AoE)
Notification of acceptanceMay 30, 2025
Author registration openJune 05, 2025
Camera-ready copyJune 15, 2025 (AoE)
Travel Grant ApplicationJune 20, 2025 (12:00 noon, GMT+8)
Author/Early Registration DueJune 22, 2025 (AoE)
Poster Printing Service DueJuly 25, 2025 (AoE)
On-site registration dateAugust 04, 2025
Conference dateAugust 05-07, 2025

Contact Information

Should you have any inquiry, please contact KSEM 2025 Program Chairs:

重要日期

会议日期

Conference Date

2025年8月4日2025年8月7日

投稿

Paper Submission Due

2025年3月20日

通知

Notification of acceptance

2025年5月30日

终稿

Camera-ready copy

2025年6月15日

注册

Author registration open

2025年6月5日

Author Registration / Early Registration Due

2025年6月22日

其他日期

Travel Grant Application

2025年6月20日

Poster Printing Service Due

2025年7月25日

On-site registration date

2025年8月4日

来源排名

来源: CORE2023

排名: C

研究领域: Artificial intelligence, Data management and data science

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