000944367 000__ 07358cam\a2200673Ia\4500 000944367 001__ 944367 000944367 005__ 20230306152311.0 000944367 006__ m\\\\\o\\d\\\\\\\\ 000944367 007__ cr\un\nnnunnun 000944367 008__ 200905s2020\\\\sz\\\\\\o\\\\\101\0\eng\d 000944367 019__ $$a1191075335$$a1195460971$$a1196164480$$a1197540904$$a1197552761 000944367 020__ $$a9783030551308$$q(electronic book) 000944367 020__ $$a303055130X$$q(electronic book) 000944367 0247_ $$a10.1007/978-3-030-55130-8$$2doi 000944367 0248_ $$a10.1007/978-3-030-55 000944367 035__ $$aSP(OCoLC)on1193117293 000944367 035__ $$aSP(OCoLC)1193117293$$z(OCoLC)1191075335$$z(OCoLC)1195460971$$z(OCoLC)1196164480$$z(OCoLC)1197540904$$z(OCoLC)1197552761 000944367 040__ $$aEBLCP$$beng$$cEBLCP$$dLQU$$dGW5XE$$dSFB$$dOCLCF 000944367 049__ $$aISEA 000944367 050_4 $$aQA76.76.E95$$bK77 2020eb 000944367 08204 $$a006.3/31$$223 000944367 1112_ $$aKSEM (Conference)$$n(13th :$$d2020 :$$cOnline) 000944367 24510 $$aKnowledge science, engineering and management :$$b13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020, Proceedings.$$nPart I /$$cGang Li, Heng Tao Shen, Ye Yuan, Xiaoyang Wang, Huawen Liu, Xiang Zhao (eds.). 000944367 2463_ $$aKSEM 2020 000944367 260__ $$aCham :$$bSpringer,$$c2020. 000944367 300__ $$a1 online resource (525 pages). 000944367 336__ $$atext$$btxt$$2rdacontent 000944367 337__ $$acomputer$$bc$$2rdamedia 000944367 338__ $$aonline resource$$bcr$$2rdacarrier 000944367 4901_ $$aLecture Notes in Computer Science ;$$v12274 000944367 4901_ $$aLecture notes in artificial intelligence 000944367 4901_ $$aLNCS sublibrary, SL 7, Artificial intelligence 000944367 500__ $$aInternational conference proceedings. 000944367 500__ $$a"The conference was held virtually due to the COVID-19 pandemic." 000944367 500__ $$aIncludes author index. 000944367 5050_ $$aKnowledge Graph -- Event-centric Tourism Knowledge Graph -- A Case Study of Hainan -- Extracting Short Entity Descriptions for Open-World Extension to Knowledge Graph Completion Models -- Graph Embedding Based on Characteristic of Rooted Subgraph Structure -- Knowledge Graphs Meet Geometry for Semi-supervised Monocular Depth Estimation -- Topological Graph Representation Learning on Property Graph -- Measuring Triplet Trustworthiness in Knowledge Graphs via Expanded Relation Detection -- A Contextualized Entity Representation for Knowledge Graph Completion -- A Dual Fusion Model for Attributed Network Embedding -- Attention-based Knowledge Tracing with Heterogeneous Information Network Embedding -- Knowledge Representation -- Detecting Statistically Significant Events in Large Heterogeneous Attribute Graphs via Densest Subgraphs -- Edge Features Enhanced Graph Attention Network for Relation Extraction -- MMEA: Entity Alignment for Multi-Modal Knowledge Graph -- A Hybrid Model with Pre-trained Entity-Aware Transformer for Relation Extraction -- NovEA: A Novel Model of Entity Alignment Using Attribute Triples and Relation Triples -- A Robust Representation with Pre-Trained Start and End Characters Vectors for Noisy Word Recognition -- Intention Multiple-representation Model for Logistics Intelligent Customer Service -- Identifying Loners from Their Project Collaboration Records -- A Graph-based Approach -- Node Embedding over Attributed Bipartite Graphs -- FastLogSim: A quick log pattern parser scheme based on text similarity -- Knowledge Management for Education -- Robotic Pushing and Grasping Knowledge Learning via Attention Deep Q-Learning Network -- A Dynamic Answering Path based Fusion Model for KGQA -- Improving Deep Item-based Collaborative Filtering with Bayesian Personalized Ranking for MOOC Course Recommendation -- Online Programming Education Modeling and Knowledge Tracing -- Enhancing Pre-Trained Language Models by Self-Supervised Learning for Story Cloz e Test -- MOOCRec: An Attention Meta-path Based Model for Top-K Recommendation in MOOC -- Knowledge-based Systems -- PVFNet: Point-view fusion network for 3D shape recognition -- HEAM: Heterogeneous Network Embedding with Automatic Meta-path Construction -- A Graph Attentive Network Model for P2P Lending Fraud Detection -- An Empirical Study on Recent Graph Database Systems -- Bibliometric Analysis of Twitter Knowledge management publications related to Health Promotion -- Automatic cerebral artery system labeling using registration and key points tracking -- Page-level handwritten word spotting via discriminative feature learning -- NADSR: A Network Anomaly Detection Scheme based on Representation -- A Knowledge-based Scheduling Method for Multi-Satellite Range System -- IM-Net: Semantic Segmentation Algorithm for Medical Images Based on Mutual Information Maximization -- Data Processing and Mining -- Fast Backward Iterative Laplacian Score for Unsupervised Feature Selection -- Improving Low-Resource Chinese Event Detection with Multi-Task Learning -- Feature Selection Using Sparse Twin Support Vector Machine with correntropy-induces loss -- Customized Decision Tree for Fat Multi-resolution Chart Patterns Classification -- Predicting user influence in the propagation of toxic information -- Extracting Distinctive Shapelets with Random Selection for Early Classification -- Butterfly-Based Higher-Order Clustering on Bipartite Networks -- Learning Dynamic Pricing Rules for Flight Tickets. 000944367 506__ $$aAccess limited to authorized users. 000944367 520__ $$aThis two-volume set of LNAI 12274 and LNAI 12275 constitutes the refereed proceedings of the 13th International Conference on Knowledge Science, Engineering and Management, KSEM 2020, held in Hangzhou, China, in August 2020.* The 58 revised full papers and 27 short papers were carefully reviewed and selected from 291 submissions. The papers of the first volume are organized in the following topical sections: knowledge graph; knowledge representation; knowledge management for education; knowledge-based systems; and data processing and mining. The papers of the second volume are organized in the following topical sections: machine learning; recommendation algorithms and systems; social knowledge analysis and management; text mining and document analysis; and deep learning. *The conference was held virtually due to the COVID-19 pandemic. 000944367 588__ $$aDescription based on print version record. 000944367 650_0 $$aKnowledge acquisition (Expert systems)$$vCongresses. 000944367 650_0 $$aKnowledge management$$vCongresses. 000944367 650_0 $$aDecision making$$xData processing$$vCongresses. 000944367 650_0 $$aProblem solving$$xData processing$$vCongresses. 000944367 650_0 $$aInformation technology$$vCongresses. 000944367 650_0 $$aData mining$$vCongresses. 000944367 7001_ $$aLi, Gang$$c(Computer scientist) 000944367 7001_ $$aShen, Heng Tao. 000944367 7001_ $$aYuan, Ye. 000944367 7001_ $$aWang, Xiaoyang. 000944367 7001_ $$aLiu, Huawen. 000944367 7001_ $$aZhao, Xiang. 000944367 77608 $$iPrint version:$$aLi, Gang$$tKnowledge Science, Engineering and Management : 13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020, Proceedings, Part I$$dCham : Springer International Publishing AG,c2020$$z9783030551292 000944367 830_0 $$aLecture notes in computer science ;$$v12274. 000944367 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence. 000944367 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence. 000944367 85280 $$bebk$$hSpringerLink 000944367 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=https://dx.doi.org/10.1007/978-3-030-55130-8$$zOnline Access 000944367 909CO $$ooai:library.usi.edu:944367$$pGLOBAL_SET 000944367 980__ $$aEBOOK 000944367 980__ $$aBIB 000944367 982__ $$aEbook 000944367 983__ $$aOnline 000944367 994__ $$a92$$bISE