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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.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Memmi, Gerard, editor.
Series:
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.
Information technology.
Social sciences--Data processing.
Social sciences.
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 (778 pages)
Edition:
1st ed. 2022.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2022.
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 ParkingOccupancy 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.
Notes:
Includes bibliographical references and index.
Other Format:
Print version: Memmi, Gerard Knowledge Science, Engineering and Management
ISBN:
3-031-10983-X
OCLC:
1336955116

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