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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.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence ; 13368
- Lecture Notes in Artificial Intelligence ; 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 ed. 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.
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