Knowledge Science, Engineering and Management : 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part I / edited by Gerard Memmi, Baijian Yang, Linghe Kong, Tianwei Zhang, Meikang Qiu.

Format:

• Book

Contributor:

• Memmi, Gerard, Editor.
• Yang, Baijian., Editor.
• Kong, Linghe, Editor.
• Zhang, Tianwei., Editor.
• Qiu, Meikang, Editor.
• SpringerLink (Online service)

Series:

• Computer Science (SpringerNature-11645)
• Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 13368
• Lecture Notes in Artificial Intelligence, 2945-9141 ; 13368

Language:

English

Subjects (All):

• Artificial intelligence.
• Data structures (Computer science).
• Information theory.
• Application software.
• Computer science.
• Information technology-Management.
• Social sciences-Data processing.
• Artificial Intelligence.
• Data Structures and Information Theory.
• Computer and Information Systems Applications.
• Theory of Computation.
• Computer Application in Administrative Data Processing.
• Computer Application in Social and Behavioral Sciences.

Local Subjects:

• Artificial Intelligence.
• Data Structures and Information Theory.
• Computer and Information Systems Applications.
• Theory of Computation.
• Computer Application in Administrative Data Processing.
• Computer Application in Social and Behavioral Sciences.

Physical Description:

1 online resource (XXVIII, 753 pages) : 256 illustrations, 168 illustrations in color.

Edition:

1st edition 2022.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

System Details:

text file PDF

Summary:

The three-volume sets constitute the refereed proceedings of the 15th International Conference on Knowledge Science, Engineering and Management, KSEM 2022, held in Singapore, during August 6-8, 2022. The 169 full papers presented in these proceedings were carefully reviewed and selected from 498 submissions. The papers are organized in the following topical sections: Volume I: Knowledge Science with Learning and AI (KSLA) Volume II: Knowledge Engineering Research and Applications (KERA) Volume III: Knowledge Management with Optimization and Security (KMOS).

Contents:

• Knowledge Science with Learning and AI (KSLA)
• A decoupled YOLOv5 with deformable convolution and multi-scale attention
• OTE: An Optimized Chinese Short Text Matching Algorithm based on External Knowledge
• KIR: A Knowledge­-enhanced Interpretable Recommendation Method
• ICKEM: a tool for estimating one's understanding of conceptual knowledge
• Cross-perspective Graph Contrastive Learning
• A Multi-scale Convolution and Gated Recurrent Unit Based Network for Limit Order Book Prediction
• Pre-train Unified Knowledge Graph Embedding with Ontology
• Improving Dialogue Generation with Commonsense Knowledge Fusion and Selection
• A Study of Event Multi-triple Extraction Methods Based on Edge-Enhanced Graph Convolution Networks
• Construction Research and Applications of Industry Chain Knowledge Graphs
• Query and Neighbor-aware Reasoning based Multi-hop Question Answering over Knowledge Graph
• Question Answering over Knowledge Graphs with Query Path Generation
• Improving Parking Occupancy Prediction in Poor Data Conditions through Customization and Learning to Learn
• Knowledge Concept Recommender Based on Structure Enhanced Interaction Graph Neural Network
• Answering Complex Questions on Knowledge Graphs
• Multi-Attention User Information Based Graph Convolutional Networks for Explainable Recommendation
• Edge-shared GraphSAGE: A New Method of Buffer Calculation for Parallel Management of Big Data Project Schedule.

Other Format:

Printed edition:

ISBN:

• 978-3-031-10983-6
• 9783031109836

Access Restriction:

Restricted for use by site license.