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001448311 001__ 1448311
001448311 003__ OCoLC
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001448311 019__ $$a1337068130
001448311 020__ $$a9783031109836$$q(electronic bk.)
001448311 020__ $$a303110983X$$q(electronic bk.)
001448311 020__ $$z9783031109829
001448311 020__ $$z3031109821
001448311 0247_ $$a10.1007/978-3-031-10983-6$$2doi
001448311 035__ $$aSP(OCoLC)1336955116
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001448311 049__ $$aISEA
001448311 050_4 $$aQA76.76.E95
001448311 08204 $$a006.3/31$$223/eng/20220729
001448311 1112_ $$aKSEM (Conference)$$n(15th :$$d2021 :$$cSingapore)
001448311 24510 $$aKnowledge science, engineering and management :$$b15th international conference, KSEM 2022, Singapore, August 6-8, 2022 : proceedings.$$nPart I /$$cGerard Memmi, Baijian Yang, Linghe Kong, Tianwei Zhang, Meikang Qiu (eds.).
001448311 24630 $$aKSEM 2022
001448311 264_1 $$aCham :$$bSpringer,$$c[2022]
001448311 264_4 $$c©2022
001448311 300__ $$a1 online resource :$$billustrations (some color).
001448311 336__ $$atext$$btxt$$2rdacontent
001448311 337__ $$acomputer$$bc$$2rdamedia
001448311 338__ $$aonline resource$$bcr$$2rdacarrier
001448311 4901_ $$aLecture notes in computer science. Lecture notes in artificial intelligence ;$$v13368
001448311 4901_ $$aLNCS sublibrary: SL7 - artificial intelligence
001448311 500__ $$aInternational conference proceedings.
001448311 500__ $$aIncludes author index.
001448311 5050_ $$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 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.
001448311 506__ $$aAccess limited to authorized users.
001448311 520__ $$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).
001448311 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 29, 2022).
001448311 650_0 $$aKnowledge acquisition (Expert systems)$$vCongresses.
001448311 650_0 $$aKnowledge management$$vCongresses.
001448311 650_0 $$aDecision making$$xData processing$$vCongresses.
001448311 650_0 $$aProblem solving$$xData processing$$vCongresses.
001448311 650_0 $$aInformation technology$$vCongresses.
001448311 650_0 $$aData mining$$vCongresses.
001448311 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001448311 655_7 $$aConference papers and proceedings.$$2lcgft
001448311 655_0 $$aElectronic books.
001448311 7001_ $$aMemmi, Gerard,$$eeditor.
001448311 7001_ $$aYang, Baijian,$$d1972-$$eeditor.
001448311 7001_ $$aKong, Linghe,$$eeditor.
001448311 7001_ $$aZhang, Tianwei,$$eeditor.
001448311 7001_ $$aQiu, Meikang,$$eeditor.
001448311 77608 $$iPrint version: $$z3031109821$$z9783031109829$$w(OCoLC)1330405692
001448311 830_0 $$aLecture notes in computer science ;$$v13368.
001448311 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001448311 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001448311 852__ $$bebk
001448311 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-10983-6$$zOnline Access$$91397441.1
001448311 909CO $$ooai:library.usi.edu:1448311$$pGLOBAL_SET
001448311 980__ $$aBIB
001448311 980__ $$aEBOOK
001448311 982__ $$aEbook
001448311 983__ $$aOnline
001448311 994__ $$a92$$bISE