Welcome to the KSEM 2024

The 17th International Conference on Knowledge Science, Engineering and Management (KSEM 2024) will be held in Birmingham on August 16-18th, 2024.

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).

KSEM 2024 is the seventeenth in this series, which builds on the success of previous events of the International Conference on Knowledge Science, Engineering and Management in Guilin, China (KSEM 2006); Melbourne, Australia (KSEM 2007); Vienna, Austria (KSEM 2009); Belfast, UK (KSEM 2010); Irvine, USA (KSEM 2011), Dalian, China (KSEM 2013); Sibiu, Romania (KSEM 2014); Chongqing, China (KSEM2015); Passau, Germany (KSEM 2016); Melbourne, Australia (KSEM 2017); Changchun, China (2018); and Athens, Greece(2019), Hangzhou, China (KSEM 2020), and Tokyo, Japan (KSEM 2021); Singapore, (KSEM 2022), and Guangzhou China (KSEM2023).

🗞️Welcome to KSEM 2024!

More information about KSEM, please visit: http://www.ksem.conferences.academy/

News Announcement:

 

Award Announcement of KSEM 2024

In KSEM 2024, we are pleased to announce the issuance of three Best Paper Awards and three Best Student Paper Awards, one for each track: “Knowledge Science,” “Knowledge Engineering,” and “Knowledge Management.” The six selected papers are as follows:

Track: Knowledge Science

Best Paper:
Jiayuan Yang and Junhua Wang. A Hybrid Method Combing Reinforcement Learning and Heuristics in Solving Two-Echelon Vehicle Routing Problem with Backhauls

Best Student Paper:
Luyao Yu, Qi Zhang, Chongyang Shi, An Lao and Liang Xiao. Reinforced Subject-aware Graph Neural Network for Related Work Generation

Track: Knowledge Engineering

Best Paper:
Shuo Wang, Jing Yu, Keke Gai and Liehuang Zhu. ReVFed: Representation-based Privacy-preserving Vertical Federated Learning with Heterogeneous Models

Best Student Paper:
Pengyu Qiu, Yongchao Liu and Xintan Zeng. DiVerFed: Distribution-Aware Vertical Federated Learning for Missing Information

Track: Knowledge Management

Best Paper:
Zhong Li, Jialong Huang and Meikang Qiu. Contrastive Learning for Money Laundering Detection: Node-Subgraph-Node Method with Context Aggregation and Enhancement Strategy

Best Innovation Paper:
Mohammed Alsadi, Anum Paracha and Junaid Arshad. NFTMosaic: Piecing Together Assets in a Unified Blockchain Token