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003 OCoLC
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006 m o d
007 cr cnu|||unuuu
008 221209s2022 sz a o 101 0 eng d
040 _aYDX
_beng
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019 _a1354205444
020 _a9783031203091
_q(electronic bk.)
020 _a3031203097
_q(electronic bk.)
020 _z9783031203084
020 _z3031203089
024 7 _a10.1007/978-3-031-20309-1
_2doi
029 1 _aAU@
_b000073193058
029 1 _aAU@
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029 1 _aAU@
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029 1 _aAU@
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029 1 _aAU@
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035 _a(OCoLC)1353838344
_z(OCoLC)1354205444
050 4 _aTK5105.888
072 7 _aUNF
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072 7 _aUYQE
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072 7 _aCOM021030
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072 7 _aUNF
_2thema
072 7 _aUYQE
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082 0 4 _a004.67/8
_223/eng/20230103
049 _aMAIN
111 2 _aInternational Conference on Web Information Systems and Applications
_n(19th :
_d2022 :
_cDalian, China).
_9977523
245 1 0 _aWeb information systems and applications :
_b19th International Conference, WISA 2022, Dalian, China, September 16-18, 2022 : proceedings /
_cXiang Zhao, Shiyu Yang, Xin Wang, Jianxin Li (eds.).
246 3 0 _aWISA 2022
264 1 _aCham :
_bSpringer,
_c[2022]
264 4 _c©2022
300 _a1 online resource (xviii, 743 pages) :
_billustrations (chiefly color).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aLecture notes in computer science ;
_v13579
500 _aSelected conference papers.
500 _aIncludes author index.
520 _aThis book constitutes the proceedings of the 19th International Conference on Web Information Systems and Applications, WISA 2022, held in Dalian, China, in September 2022. The 45 full papers and 19 short papers presented were carefully reviewed and selected from 212 submissions. The papers are grouped in topical sections on knowledge graph, natural language processing, world wide web, machine learning, query processing and algorithm, recommendation, data privacy and security, and blockchain.
588 0 _aOnline resource; title from PDF title page (SpringerLink, viewed January 3, 2023).
505 0 _aIntro -- Preface -- Organization -- Contents -- Knowledge Graph -- Temporal Knowledge Graph Embedding for Link Prediction -- 1 Introduction -- 2 Related Work -- 3 Problem Formulation -- 4 Methodology -- 4.1 Structural Self-attention -- 4.2 Temporal Self-attention -- 4.3 Parameter Learning -- 4.4 Discussion -- 5 Experiments -- 5.1 Experimental Settings -- 5.2 Performance Comparison (RQ1) -- 5.3 Utility of Structural and Temporal Self-attention (RQ2) -- 5.4 Hyper-Parameter Studies (RQ3) -- 6 Conclusions -- References -- A Multi-modal Knowledge Graph Platform Based on Medical Data Lake
505 8 _a1 Introduction -- 2 Related Work -- 3 Architecture of MMKGP -- 4 Translation-Based Model Enhanced by Prior Knowledge -- 4.1 TransE Model -- 4.2 Constraint for Relations -- 5 Knowledge Graph Completion with Multi-modal Data -- 5.1 Dataset -- 5.2 Evaluation Criterion -- 5.3 Model Training and Result -- 6 Knowledge Graph-Based Clinical Decision Support System -- 6.1 Link Prediction & Correction -- 6.2 Recommendation and Q&A System -- 7 Conclusion -- References -- Fusion of Natural Language and Knowledge Graph for Multi-hop Reasoning -- 1 Introduction -- 2 Related Works -- 3 Model -- 3.1 Description
505 8 _a3.2 Framework -- 3.3 Subgraph Retrieval -- 3.4 Structural Fusion -- 3.5 Relation Reasoning -- 4 Experiments -- 4.1 Experiment Setup -- 4.2 Model Comparison -- 5 Conclusion -- References -- Commonsense Knowledge Construction with Concept and Pretrained Model -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Framework of CG&BF -- 3.2 Concept-Based Generator -- 3.3 BERT-Based Filter -- 4 Experiments -- 4.1 Experiment Setup -- 4.2 Model Comparison -- 5 Conclusion -- References -- Simplifying Knowledge-Aware Aggregation for Knowledge Graph Collaborative Filtering -- 1 Introduction
505 8 _a2 Related Work -- 3 Task Formulation -- 4 Methodology -- 4.1 Personalized Knowledge Aggregation -- 4.2 User Aggregation -- 4.3 Prediction Layer -- 5 Experiments -- 5.1 Datasets -- 5.2 Baselines -- 5.3 Experimental Settings -- 5.4 Performance Comparison (RQ1) -- 5.5 Ablation Studies (RQ2) -- 6 Conclusion -- References -- Bi-Directional Neighborhood-Aware Network for Entity Alignment in Knowledge Graphs -- 1 Introduction -- 2 Related Work -- 2.1 Embedding-Based Methods -- 2.2 Phenomenon of Long-Tail -- 3 Problem Formalization -- 4 Methodology -- 4.1 Neighborhood Embedding
505 8 _a4.2 Entity Name Embedding -- 4.3 Feature Fusion with Bi-attention -- 4.4 Alignment and Training -- 5 Experiments -- 5.1 Experiment Setting -- 5.2 Main Result -- 5.3 Ablation Study -- 5.4 Evaluation by Degrees Interval -- 5.5 Robustness on Datasets -- 6 Conclusion -- References -- SAREM: Semi-supervised Active Heterogeneous Entity Matching Framework -- 1 Introduction -- 2 Related Work -- 2.1 Entity Matching -- 2.2 EM Based on Active Learning -- 3 Problem Statement and Definition -- 4 The Framework: Sarem -- 4.1 Data Augmentation -- 4.2 Feature Extraction -- 4.3 Example Selection
650 0 _aWorld Wide Web
_vCongresses.
_914993
650 0 _aArtificial intelligence
_vCongresses.
650 6 _aWeb
_vCongrès.
_916954
650 6 _aIntelligence artificielle
_vCongrès.
_917678
650 7 _aArtificial intelligence
_2fast
_91340
650 7 _aWorld Wide Web
_2fast
_94728
655 7 _aproceedings (reports)
_2aat
655 7 _aConference papers and proceedings
_2fast
_96065
655 7 _aConference papers and proceedings.
_2lcgft
_96065
655 7 _aActes de congrès.
_2rvmgf
_9609890
700 1 _aZhao, Xiang,
_eeditor.
700 1 _aYang, Shiyu,
_eeditor.
_9977524
700 1 _aWang, Xin,
_eeditor.
_98198
700 1 _aLi, Jianxin
_c(Senior lecturer),
_eeditor.
_1https://id.oclc.org/worldcat/entity/E39PCjDgt9Y8J6v9Mxydby4ykC
_963760
776 0 8 _cOriginal
_z3031203089
_z9783031203084
_w(OCoLC)1346531656
830 0 _aLecture notes in computer science ;
_v13579.
856 4 0 _uhttps://link.springer.com/10.1007/978-3-031-20309-1
938 _aAskews and Holts Library Services
_bASKH
_nAH41110071
938 _aYBP Library Services
_bYANK
_n303343539
938 _aProQuest Ebook Central
_bEBLB
_nEBL7153339
994 _a92
_bATIST
999 _c657165
_d657165