001476007 000__ 07680nam\\22008057i\4500 001476007 001__ 1476007 001476007 003__ OCoLC 001476007 005__ 20231003174628.0 001476007 006__ m\\\\\o\\d\\\\\\\\ 001476007 007__ cr\un\nnnunnun 001476007 008__ 230817s2023\\\\sz\a\\\\o\\\\\101\0\eng\d 001476007 020__ $$a9783031402920$$q(electronic bk.) 001476007 020__ $$a3031402928$$q(electronic bk.) 001476007 020__ $$z9783031402913 001476007 0247_ $$a10.1007/978-3-031-40292-0$$2doi 001476007 035__ $$aSP(OCoLC)1394019678 001476007 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dOCLCO 001476007 049__ $$aISEA 001476007 050_4 $$aQA76.76.E95$$bK77 2023eb 001476007 08204 $$a006.3/31$$223/eng/20230817 001476007 1112_ $$aKSEM (Conference)$$n(16th :$$d2023 :$$cGuangzhou, China) 001476007 24510 $$aKnowledge science, engineering and management :$$b16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings.$$nPart IV /$$cZhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma, editors. 001476007 2463_ $$aKSEM 2023 001476007 264_1 $$aCham :$$bSpringer,$$c2023. 001476007 300__ $$a1 online resource (xxiv, 471 pages) :$$billustrations (some color). 001476007 336__ $$atext$$btxt$$2rdacontent 001476007 337__ $$acomputer$$bc$$2rdamedia 001476007 338__ $$aonline resource$$bcr$$2rdacarrier 001476007 4901_ $$aLecture notes in artificial intelligence 001476007 4901_ $$aLecture notes in computer science ;$$v14120 001476007 4901_ $$aLNCS sublibrary, SL 7, Artificial intelligence 001476007 500__ $$aIncludes author index. 001476007 5050_ $$aEmerging technologies for Knowledge science, engineering and management -- Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering -- Advancing Domain Adaptation of BERT by Learning Domain Term Semantics -- Deep Reinforcement Learning for Group-Aware Robot Navigation in Crowds -- An Enhanced Distributed Algorithm for Area Skyline Computation based on Apache Spark -- TCMCoRep: Traditional Chinese Medicine data mining with Contrastive Graph Representation Learning -- Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models -- PRACM: Predictive Rewards for Actor-Critic with Mixing Function in Multi-Agent Reinforcement Learning -- A Cybersecurity Knowledge Graph Completion Method for Scalable Scenarios -- Research on remote sensing image classification based on Transfer learning and Data Augmentation -- Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism -- Multi-hop Reading Comprehension Learning Method Based on Answer Contrastive Learning -- Importance-based Neuron Selective Distillation for Interference Mitigation in Multilingual Neural Machine Translation -- Are GPT Embeddings Useful for Ads and Recommendation? -- Modal interaction-enhanced Prompt Learning by transformer decoder for Vision-Language Models -- Unveiling Cybersecurity Threats from Online Chat Groups: A Triple Extraction Approach -- KSRL: Knowledge Selection based Reinforcement Learning for Knowledge-Grounded Dialogue -- Prototype-Augmented Contrastive Learning for Few-shot Unsupervised Domain Adaptation -- Style Augmentation and Domain-aware Parametric Contrastive Learning for Domain Generalization -- Recent Progress on Text Summarisation Based on BERT and GPT -- Ensemble Strategy Based on Deep Reinforcement Learning for Portfolio Optimization -- A Legal Multi-Choice Question Answering Model Based on BERT and Attention -- Offline Reinforcement Learning with Diffusion-Based Behavior Cloning Term -- Evolutionary Verbalizer Search for Prompt-based Few Shot Text Classification -- Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification -- Learning Category Discriminability for Active Domain Adaptation -- Multi-Level Contrastive Learning for Commonsense Question Answering -- Efficient Hash Coding for Image Retrieval based on Improved Center Generation and Contrastive Pre-training Knowledge Model -- Univarite Time Series Forecasting via Interactive Learning -- Task Inference for Offline Meta Reinforcement Learning via Latent Shared Knowledge -- A Quantitative Spectra Analysis Framework Combining Mixup and Band Attention for Predicting Soluble Solid Content of Blueberries -- Contextualized Hybrid Prompt-Tuning for Generation-Based Event Extraction -- udPINNs: An Enhanced PDE Solving Algorithm Incorporating Domain of Dependence Knowledge -- Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning -- A Reinforcement Learning-based Approach for Continuous Knowledge Graph Construction -- A Multifactorial Evolutionary Algorithm based on Model Knowledge Transfer -- Knowledge Leadership, AI Technology Adoption and Big Data Application Ability -- RFLSem: A lightweight model for textual sentiment analysis. 001476007 506__ $$aAccess limited to authorized users. 001476007 520__ $$aThis volume set constitutes the refereed proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, KSEM 2023, which was held in Guangzhou, China, during August 16–18, 2023. The 114 full papers and 30 short papers included in this book were carefully reviewed and selected from 395 submissions. They were organized in topical sections as follows: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management systems; and emerging technologies for knowledge science, engineering and management. 001476007 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 14, 2023). 001476007 650_0 $$aKnowledge acquisition (Expert systems)$$vCongresses. 001476007 650_0 $$aKnowledge management$$vCongresses. 001476007 650_0 $$aDecision making$$xData processing$$vCongresses. 001476007 650_0 $$aProblem solving$$xData processing$$vCongresses. 001476007 650_0 $$aInformation technology$$vCongresses. 001476007 650_0 $$aData mining$$vCongresses. 001476007 650_6 $$aGestion des connaissances$$vCongrès. 001476007 650_6 $$aPrise de décision$$xInformatique$$vCongrès. 001476007 650_6 $$aTechnologie de l'information$$vCongrès. 001476007 650_6 $$aExploration de données (Informatique)$$vCongrès. 001476007 655_0 $$aElectronic books. 001476007 7001_ $$aJin, Zhi,$$d1962-$$eeditor.$$1https://orcid.org/0000-0003-1087-226X 001476007 7001_ $$aJiang, Yuncheng,$$eeditor.$$0(orcid)0000-0002-4294-454X$$1https://orcid.org/0000-0002-4294-454X 001476007 7001_ $$aBuchmann, Robert Andrei,$$eeditor.$$0(orcid)0000-0002-7385-1610$$1https://orcid.org/0000-0002-7385-1610 001476007 7001_ $$aBi, Yaxin,$$eeditor.$$1https://orcid.org/0000-0002-0979-4084 001476007 7001_ $$aGhiran, Ana-Maria,$$eeditor.$$0(orcid)0000-0001-7890-9386$$1https://orcid.org/0000-0001-7890-9386 001476007 7001_ $$aMa, Wenjun,$$eeditor.$$0(orcid)0000-0003-4600-398X$$1https://orcid.org/0000-0003-4600-398X 001476007 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence. 001476007 830_0 $$aLecture notes in computer science ;$$v14120. 001476007 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence. 001476007 852__ $$bebk 001476007 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-40292-0$$zOnline Access$$91397441.1 001476007 909CO $$ooai:library.usi.edu:1476007$$pGLOBAL_SET 001476007 980__ $$aBIB 001476007 980__ $$aEBOOK 001476007 982__ $$aEbook 001476007 983__ $$aOnline 001476007 994__ $$a92$$bISE