Search Results - "semantics"
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Semantic applications : methodology, technology, corporate use
Published: Springer, 2018Contents: “…Introduction -- Ontology Development -- Compliance using Metadata -- Variety Management for Big Data -- Text Mining in Economics -- Generation of Natural Language Texts -- Sentiment Analysis -- Building Concise Text Corpora from Web Contents -- Ontology-Based Modelling of Web Content -- Personalized Clinical Decision Support for Cancer Care -- Applications of Temporal Conceptual Semantic Systems -- Context-Aware Documentation in the Smart Factory -- Knowledge-Based Production Planning for Industry 4.0 -- Information Exchange in Jurisdiction -- Supporting Automated License Clearing -- Managing cultural assets: Implementing typical cultural heritage archive's usage scenarios via Semantic Web technologies -- Semantic Applications for Process Management -- Domain-Specific Semantic Search Applications.…”Description: 1 online resource (xxv, 264 pages) : illustrations (some color)
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Knowledge graph and semantic computing : semantic, knowledge, and linked big data : first China Conference, CCKS 2016, Beijing, China, September 19-22, 2016, Revised selected papers
Published: Springer, 2016Subjects: “…Semantic computing Congresses.…”Description: 1 online resource (xiii, 250 pages) : illustrations.
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Knowledge graph and semantic computing : language, knowledge, and intelligence : second China Conference, CCKS 2017, Chengdu, China, August 26-29, 2017, Revised selected papers
Published: Springer, 2017Subjects: “…Semantic computing Congresses.…”Description: 1 online resource (xiv, 173 pages) : illustrations.
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Knowledge graph and semantic computing : knowledge computing and language understanding : third China Conference, CCKS 2018, Tianjin, China, August 14-17, 2018, Revised selected papers
Published: Springer, 2019Contents: “…3 Problem Formulation and Model Overview3.1 Problem Formulation; 3.2 Overview of STBNet; 4 Method; 4.1 Semantic Embedding; 4.2 Text Embedding for Ontology Stream; 4.3 Semantic Prediction; 5 Experiments; 5.1 Dataset and Setup; 5.2 Training and Evaluation; 5.3 Experiment Results; 6 Conclusion and Future Work; References; DSKG: A Deep Sequential Model for Knowledge Graph Completion; 1 Introduction; 2 Related Work; 2.1 TransE-Like Models; 2.2 Other Models; 3 Methodology; 3.1 RNN and Its Multi-layer Version; 3.2 The Proposed Deep Sequential Model; 3.3 Type-Based Sampling.…”Description: 1 online resource (xvi, 143 pages) : illustrations (some color).
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Knowledge graph and semantic computing : Knowledge computing and language understanding ; 4th China Conference, CCKS 2019, Hangzhou, China, August 24-27, 2019, Revised selected papers
Published: Springer, 2019Subjects: “…Semantic computing Congresses.…”Description: 1 online resource (226 pages).
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Knowledge graph and semantic computing : knowledge graph and gognitive intelligence : 5th China Conference, CCKS 2020, Nanchang, China, November 12-15, 2020, Revised selected papers
Published: Springer, 2021Subjects: “…Semantic computing Congresses.…”Description: 1 online resource (xvii, 336 pages) : illustrations (some color).
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Knowledge graph and semantic computing : knowledge graph empowers new infrastructure construction : 6th China Conference, CCKS 2021, Guangzhou, China, November 4-7, 2021 : proceedings
Published: Springer, 2021Contents: “…Knowledge Graph Representation and Reasoning -- Knowledge Acquisition and Knowledge Graph Construction -- Linked Data, Knowledge Integration, and Knowledge Graph Storage Management -- Natural Language Understanding and Semantic Computing -- Knowledge Graph Applications: Semantic Search, Question Answering, Dialogue, Decision Support, and Recommendation -- Knowledge Graph Open Resources.…”Description: 1 online resource : illustrations (chiefly color).
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Knowledge graph and semantic computing : knowledge graph empowers the digital economy : 7th China Conference, CCKS 2022, Qinhuangdao, China, August 24-27, 2022, Revised selected papers
Published: Springer, 2022Contents: “…Knowledge Representation and Reasoning -- Investigating the Parallel Tractability of Knowledge Graph Reasoning via Boolean Circuits -- Incorporating Uncertainty of Entities and Relations into Few-Shot Uncertain Knowledge Graph Embedding -- Knowledge Acquisition and Knowledge Base Construction -- TraConcept: Constructing a Concept Framework from Chinese Traffic Legal Texts -- Document-Level Relation Extraction with a Dependency Syntax Transformer and Supervised Contrastive Learning -- KGSG: Knowledge Guided Syntactic Graph Model for Drug-Drug Interaction Extraction -- Hierarchical Modular Event Detection Based on Dependency Graph -- Linked Data, Knowledge Integration, and Knowledge Graph Storage Management -- Explicit Sparse Attention Network for Multimodal Named Entity Recognition -- Optimization of Bit Matrix Index for Temporal RDF -- Natural Language Understanding and Semantic Computing -- CSKE: Commonsense Knowledge Enhanced Text Extension Framework for Text-Based Logical Reasoning -- A survey on Causal Discovery -- EK-BERT: An Enhanced K-BERT Model for Chinese Sentiment Analysis -- Incorporating Multilingual Knowledge Distillation into Machine Translation Evaluation -- Regularizing Deep Text Models By Encouraging Competition -- A Survey on Table Question Answering: Recent Advances -- Knowledge Graph Applications -- Knowledge-aware Topological Networks for Recommendation -- Knowledge Graph Open Resources -- IREE: A Fine-Grained Dataset for Chinese Event Extraction in Investment Research -- ELETerm: A Chinese Electric Power Term Dataset.…”Description: 1 online resource (xviii, 218 pages) : illustrations (some color).
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Knowledge graph and semantic computing : knowledge graph empowers artificial general intelligence : 8th China Conference, CCKS 2023, Shenyang, China, August 24-27, 2023, Revised Selected Papers
Published: Springer, 2023Contents: “…Knowledge Representation and Knowledge Graph Reasoning -- Dynamic Weighted Neural Bellman-Ford Network for Knowledge Graph Reasoning -- CausE: Towards Causal Knowledge Graph Embedding -- Exploring the Logical Expressiveness of Graph Neural Networks by establishing a connection with C2 -- Research on Joint Representation Learning Methods for Entity Neighborhood Information and Description Information -- Knowledge Acquisition and Knowledge Base Construction -- Harvesting Event Schemas from Large Language Models -- NTDA: Noise-Tolerant Data Augmentation for Document-Level Event Argument Extraction -- Event-Centric Opinion Mining via In-Context Learning with ChatGPT -- Relation repository based adaptive clustering for Open Relation Extraction -- Knowledge Integration and Knowledge Graph Management -- LNFGP: Local Node Fusion-based Graph Partition By Greedy Clustering -- Natural Language Understanding and Semantic Computing -- Multi-Perspective Frame Element Representation for Machine Reading Comprehension -- A Generalized Strategy of Chinese Grammatical Error Diagnosis based on Task Decomposition and Transformation -- Conversational Search based on Utterance-Mask-Passage Post-training -- Knowledge Graph Applications -- Financial Fraud Detection based on Deep Learning: towards Large-scale Pre-Training Transformer Models -- GERNS: A Graph Embedding with Repeat-free Neighborhood Structure for Subgraph Matching Optimization -- Feature Enhanced Structured Reasoning for Question Answering -- Knowledge Graph Open Resources -- Conditional Knowledge Graph: Design, Dataset and a Preliminary Model -- ODKG: An Official Document Knowledge Graph for the Effective Management -- CCD-ASQP: A Chinese Cross-domain Aspect Sentiment Quadruple Prediction Dataset -- CCD-ASQP: A Chinese Cross-domain Aspect Sentiment Quadruple Prediction Dataset -- Moral Essential Elements: MEE - A Dataset for Moral Judgement -- Evaluations -- Improving Adaptive Knowledge Graph Construction via Large Language Models with Multiple Views -- Single Source Path-based Graph Neural Network for Inductive Knowledge Graph Reasoning -- A Graph Learning Based Method for Inductive Knowledge Graph Relation Prediction -- LLM-Based Sparql Generation with selected Schema from Large scale Knowledge Base -- Robust NL-to-Cypher Translation for KBQA: Harnessing Large Language Model with Chain of Prompts -- In-Context Learning for Knowledge Base Question Answering for Unmanned Systems based on Large Language Models -- A Military Domain Knowledge-based Question Answering Method Based on Large Language Model Enhancement -- Advanced PromptCBLUE Performance: A Novel Approach Leveraging Large Language Models.…”Description: 1 online resource (xix, 364 pages) : illustrations (some color).
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Big data integration theory : theory and methods of database mappings, programming languages, and semantics
Published: Springer, 2014Contents: “…Introduction and Technical Preliminaries -- Composition of Schema Mappings: Syntax and Semantics -- Definition of DB Category -- Functorial Semantics for Database Schema Mappings -- Extensions of Relational Codd's Algebra and DB Category -- Categorial RDB Machines -- Operational Semantics for Database Mappings -- The Properties of DB Category -- Weak Monoidal DB Topos.…”Description: 1 online resource (xx, 516 pages) : illustrations.
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Intelligent systems in big data, semantic web and machine learning
Published: Springer, 2021Contents: “…Experimental evaluation of proposed algorithm for identifying abnormal messages in SIP Network -- Smart tourism recommender system using semantic matching -- Data-Driven information filtering framework for dynamically hybrid job recommendation -- Semantic image analysis for automatic image annotation -- New method for data replication and reconstruction in distributed databases -- A distributed intrusion detection approach based on machine learning technique for a cloud security -- Cb2Onto: OWL ontology learning approach from couchbase -- Data profling over big data area -- A Survey of big data profiling: state-of-the-Art, use cases and challenges -- Generalization of the fuzzy conformable differentiability with application to fuzzy fractional differential equations.…”Description: 1 online resource.
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Entity information life cycle for big data : master data management and information integration
Published: Elsevier : Morgan Kaufmann, 2015Subjects: Elsevier - Click here for accessDescription: 1 online resource.
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CCKS 2021 -- Evaluation track : 6th China Conference on Knowledge Graph and Semantic Computing, CCKS 2021, Guangzhou, China, December 25-26, 2021, Revised selected papers
Published: Springer, 2022Contents: “…A Biaffine Attention-based Approach for Event Factor Extraction -- A Classification Approach of Scholar Structured Information Extraction from HTML Web Pages -- A Dual-classifier Model for General Fine-grained Event Detection Task -- A Joint Training Framework Based on Adversarial Perturbation For Video Semantic Tags Classification -- A Multi-Modal System for Video Semantic Understanding -- An Integrated Method of Semantic Parsing and Information Retrieval for Knowledge Base Question Answering -- Basic Profiling Extraction Based on XGBoost -- Data Augmentation based on Pre-trained Language Model for Event Detection -- Does BERT know Which Answer Beyond the Question? …”Description: 1 online resource (x, 162 pages) : illustrations (some color).
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CCKS 2022 -- Evaluation track : 7th China Conference on Knowledge Graph and Semantic Computing Evaluations, CCKS 2022, Qinhuangdao, China, August 24-27, 2022, Revised selected papers
Published: Springer, 2022Subjects: “…Semantic computing Congresses.…”Description: 1 online resource (249 pages).
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Current trends in web engineering : ICWE 2022 International Workshops, BECS, SWEET and WALS, Bari, Italy, July 5-8, 2022, revised selected papers
Published: Springer, 2023Contents: “…-CodeBERT Based Software Defect Prediction for Edge-Cloud Systems -- A Novel Hybrid Approach for Localization in Wireless Sensor Networks -- An Empirical Analysis on Just-In-Time Defect prediction Models for Self-driving Software Systems -- Knowledge Sharing in Proactive WoT Multi-Environment Models -- First International Workshop on the Semantic WEb of Everything (SWEET 2022) -- Multivariate Time Series Anomaly Detection Based on Reconstructed Differences Using Graph Attention Networks -- A Decentralized Environment for Biomedical Semantic Content Authoring and Publishing -- AI for Food Waste Reduction in Smart Homes -- Cowl: a lightweight OWL library for the Semantic Web of Everything -- Features and capabilities of a blockchain-based ridesharing enhanced with semantics -- Semantic-based decision support for network management and orchestration -- Semantic Matchmaking for Argumentative Intelligence in Ubiquitous Computing -- First International Workshop on Web Applications for Life Sciences (WALS 2022) -- Smart District 4.0 project: validation of results and exploitation perspectives -- WALS 2022 Invited Talk - Are web applications fulfilling the needs of life science scientists? …”Description: 1 online resource (xi, 199 pages) : illustrations (chiefly color).
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Current trends in web engineering : ICWE 2023 international workshops: BECS, SWEET, WALS, Alicante, Spain, June 6-9, 2023, revised selected papers
Published: Springer, 2024Contents: “…Third International Workshop on Big Data Driven Edge Cloud Services (BECS 2023) -- 3rd International Workshop on Big Data driven Edge Cloud Services (BECS 2023) -- A novel priority based scheduler for Asymmetric Multi-core Edge Computing -- SLO-aware DL Job Scheduling for Efficient FPGA-GPU Edge Cloud Computing -- DESA: Decentralized Self-Adaptive Horizontal Autoscaling for Bursts of Load in Fog Computing -- TiME: Time-sensitive Multihop Data Transmission in Software-Defined Edge Networks for IoT -- DELCAS: Deep Reinforcement Learning based GPU CaaS Packet Scheduling for Stabilizing QoE in 5GMulti-Access Edge Computing -- Towards the Integration of Digital Avatars in Urban Digital Twins on theCloud-to-Thing Continuum -- Exploring the Feasibility of ChatGPT for Improving the Quality of Ansible Scripts in Edge-CloudInfrastructures through Code Recommendation -- Second International Workshop on the Semantic WEb of Everything (SWEET 2023) -- 2nd International Workshop on the Semantic WEb of EveryThing (SWEET 2023) -- A framework for automatic Knowledge Base generation from observation data sets -- Exploring knowledge-based systems for commercial mortgage underwriting -- Tiny-ME Wasm: Description Logics reasoning in your browser -- Second International Workshop on Web Applications for Life Sciences (WALS2023) -- 2nd International Workshop on Web Applications for Life Sciences (WALS 20223) -- Development of an end-to-end web application for visualization, evaluation, and post-processing of result data from neural network predictions for the melanoma use case -- Digital Avatars: An application to eHealth -- A DCAT Profile Approach for Citizen Science.…”Description: 1 online resource (xii, 170 pages) : illustrations (chiefly color).
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Distributed computing in big data analytics : concepts, technologies and applications
Published: Springer, 2017Contents: “…Utilizing big data analytics for automatic building of language-agnostic semantic knowledge bases /…”Description: 1 online resource.
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Chinese computational linguistics and natural language processing based on naturally annotated big data : 12th China National Conference, CCL 2013 and First International Symposium...
Published: Springer, 2013Contents: SpringerLink - Click here for accessDescription: 1 online resource (xiv, 354 pages) : illustrations (some color).
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Chinese computational linguistics and natural language processing based on naturally annotated big data : 14th China National Conference, CCL 2015, and third International Symposiu...
Published: Springer, 2015Contents: “…Lexical semantics and ontologies -- Semantics -- Sentiment analysis, opinion mining and text classification -- Machine translation -- Multilinguality in NLP.…”Description: 1 online resource (xvi, 426 pages) : illustrations.
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Encyclopedia of big data technologies [2019 edition]
Published: Springer, 2019Contents: “…Cross-ReferencesReferences; Recommended Reading; Apache Hadoop; Apache Kafka; Definitions; Overview; Kafka Brokers; Log Compaction; Scaling and Load Balancing; Fault Tolerance and High Availability; Message Delivery; Delivery Semantics; Writing to Kafka; Reading from Kafka; Kafka Connect Framework; Single-Message Transforms; Kafka Streams; Streams and Tables; State Management; Fault Tolerance and Scaling; Time Semantics; Exactly Once Processing Semantics; Summary; Cross-References; References; Apache Mahout; Definitions; Historical Background; Foundations; Overview of Architecture.…”Description: 1 online resource (2 volumes (xlvi, 1820 pages)) : illustrations (black and white, and colour).
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