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020 _a9783031109836
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024 7 _a10.1007/978-3-031-10983-6
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050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
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072 7 _aCOM004000
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072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aKnowledge Science, Engineering and Management
_h[electronic resource] :
_b15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part I /
_cedited by Gerard Memmi, Baijian Yang, Linghe Kong, Tianwei Zhang, Meikang Qiu.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXXVIII, 753 p. 256 illus., 168 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v13368
505 0 _aKnowledge 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.
520 _aThe 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).
650 0 _aArtificial intelligence.
_93407
650 0 _aData structures (Computer science).
_98188
650 0 _aInformation theory.
_914256
650 0 _aApplication software.
_9116909
650 0 _aComputer science.
_99832
650 0 _aInformation technology
_xManagement.
_95368
650 0 _aSocial sciences
_xData processing.
_983360
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aData Structures and Information Theory.
_931923
650 2 4 _aComputer and Information Systems Applications.
_9116910
650 2 4 _aTheory of Computation.
_9116911
650 2 4 _aComputer Application in Administrative Data Processing.
_931588
650 2 4 _aComputer Application in Social and Behavioral Sciences.
_931815
700 1 _aMemmi, Gerard.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_9116912
700 1 _aYang, Baijian.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9116913
700 1 _aKong, Linghe.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9116914
700 1 _aZhang, Tianwei.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9116915
700 1 _aQiu, Meikang.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9116916
710 2 _aSpringerLink (Online service)
_9116917
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031109829
776 0 8 _iPrinted edition:
_z9783031109843
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v13368
_9116918
856 4 0 _uhttps://doi.org/10.1007/978-3-031-10983-6
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