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Knowledge and systems engineering : proceedings of the Fifth International Conference KSE 2013. Volume 1 / / Van-Nam Huynh [and four others], editors
| Knowledge and systems engineering : proceedings of the Fifth International Conference KSE 2013. Volume 1 / / Van-Nam Huynh [and four others], editors |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , 2014 |
| Descrizione fisica | 1 online resource (xii, 430 pages) : illustrations (some color) |
| Disciplina | 006.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Expert systems (Computer science)
Information technology Knowledge management Knowledge representation (Information theory) Image processing Systems engineering Human-computer interaction Machine learning |
| ISBN | 3-319-02741-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Organization -- Part I Keynote addresses -- What Ontological Engineering Can Do for Solving Real-World Problems -- Argumentation for Practical Reasoning -- Legal Engineering and its Natural Language Processing -- Part II KSE 2103 Main Track -- A Hierarchical Approach for High-Quality and Fast Image Completion -- The un-normalized graph p-Laplacian based semi-supervised learning method and protein function prediction problem -- On Horn Knowledge Bases in Regular Description Logic with Inverse -- On the Semantics of Defeasible Reasoning for Description Logic Ontologies -- SudocAD: A Knowledge-Based System for the Author Linkage Problem -- Word Confidence Estimation and its Integration in Sentence Quality Estimation for Machine Translation -- An improvement of prosodic characteristics in Vietnamese Text to Speech System -- Text-Independent Phone Segmentation Method Using Gaussian Function -- New Composition of Intuitionist Fuzzy Relations -- Using Unicode in encoding the Vietnamese ethnic minority languages, applying for the Ede language -- Improving Moore’s Sentence Alignment Method Using Bilingual Word Clustering -- Frequent Temporal Inter-object Pattern Mining in Time Series iSPLOM: Interactive with Scatter plot Matrix for Exploring Multidimensional Data -- An online monitoring solution for complex distributed systems based on hierarchical monitoring agents -- Incomplete Encryption Based on Multi-channel AES Algorithm to Digital Rights Management -- Enhance matching web service security policies with semantic -- An Efficient Method for Discovering Motifs in Streaming Time Series Data -- On Discriminate Orientation Extraction Using GridLDA of Line Orientation Maps for Palm print Identification -- Localization and Velocity Estimation on Bus with Cell-ID -- A New Improved Term Weighting Scheme for Text Categorization -- Gender Prediction Using Browsing History -- News Aggregating System Supporting Semantic Processing Based on Ontology -- Inference of autism-related genes by integrating protein-protein interactions and miRNA-target interactions -- Modeling and verifying imprecise requirements of systems using Event-B Resolution in Linguistic Propositional Logic based on Linear Symmetrical Hedge Algebra -- A Sub gradient Method to Improve Approximation Ratio in the Minimum Latency Problem -- Particulate Matter concentration Estimation from satellite aerosol and meteorological parameters: Data-driven approaches -- A Spatio-Temporal Profiling Model for Person Identification -- Secure Authentication For Mobile Devices Based On Acoustic Background Fingerprint -- Pomelo’s Quality Classification based on Combination of Color Information and Gabor Filter -- Local Descriptors without Orientation Normalization to Enhance Landmark Recognition -- Finding round-off error using symbolic execution. |
| Record Nr. | UNINA-9910299474303321 |
| Cham, Switzerland : , : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge and systems engineering : proceedings of the Fifth International Conference KSE 2013. Volume 2 / / Van-Nam Huynh [and four others], editors
| Knowledge and systems engineering : proceedings of the Fifth International Conference KSE 2013. Volume 2 / / Van-Nam Huynh [and four others], editors |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , 2014 |
| Descrizione fisica | 1 online resource (xii, 446 pages) : illustrations (some color) |
| Disciplina | 006.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Expert systems (Computer science)
Information technology Knowledge management Knowledge representation (Information theory) Image processing Systems engineering Human-computer interaction Machine learning |
| ISBN | 3-319-02821-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Preface""; ""Organization""; ""Contents""; ""Part I Workshop Invited Talks ""; ""The Place of Causal Analysis in the Analysis of Simulation Data""; ""Evolutionary Computation in the RealWorld: Successes and Challenges""; ""Part II KSE 2013 Special Sessions and Workshop ""; ""A Method of Two-Stage Clustering with Constraints Using Agglomerative Hierarchical Algorithm and One-Pass k-Means++ ""; ""1 Introduction""; ""2 Preliminary Consideration""; ""2.1 Agglomerative Hierarchical Clustering""; ""2.2 k-Means and k-Means++ ""; ""2.3 Pairwise Constraints""; ""3 A Two-Stage Algorithm""
""3.1 One-Pass COP k-Means++ """"3.2 Agglomerative Algorithm in the Second Stage""; ""4 Numerical Examples""; ""4.1 Evaluation by Objective Function Value""; ""4.2 Evaluation by RandIndex""; ""4.3 Evaluation by CPU Time""; ""5 Conclusion""; ""References""; ""An Algorithm Combining Spectral Clustering and DBSCAN for Core Points""; ""1 Introduction""; ""2 Preliminary Consideration""; ""2.1 Spectral Clustering""; ""2.2 DBSCAN-CORE""; ""3 Combining DBSCAN-CORE and Spectral Clustering""; ""3.1 Clusters of Data Set""; ""3.2 Other Related Algorithms""; ""4 Numerical Examples"" ""4.1 Results for Artificial Data Sets""""4.2 The Iris Data Set""; ""5 Conclusion""; ""References""; ""Relational Fuzzy c-Means and Kernel Fuzzy c-Means Using a Quadratic Programming-Based Object-Wise β -Spread Transformation ""; ""1 Introduction""; ""2 Preliminaries""; ""2.1 RFCM and NERFCM""; ""2.2 K-FCM and IK-FCM""; ""3 Quadratic Programming-Based Object-Wise β -Spread Fuzzy Clustering ""; ""3.1 Concept of the Proposed Algorithms""; ""3.2 RFCM Using a Quadratic Programming-Based Object-Wise β -Spread Transformation "" ""3.3 K-FCM Using Quadratic Programming-Based Object-Wise β -Spread """"3.4 Relation between RFCM and K-FCM, NERFCM and IK-FCM, and qO-NERFCM and qO-IK-FCM""; ""4 Numerical Examples""; ""5 Conclusion""; ""References""; ""The Utilities of Imprecise Rules and Redundant Rules for Classifiers""; ""1 Introduction""; ""2 Rough Set Approach to Classification""; ""3 Imprecise Rules and Robustness""; ""3.1 Inducing Imprecise Rules and Classification""; ""3.2 Robustness""; ""4 Numerical Experiments""; ""4.1 Outline""; ""4.2 Data-Sets""; ""4.3 10-Fold Cross Validation"" ""4.4 Performances of Imprecise Rules Induced by MLEM2""""4.5 The Performance of Classifier with Redundant Rules""; ""4.6 Effects of Imprecision in Rule Conclusions""; ""5 Concluding Remarks""; ""References""; ""On Cluster Extraction from Relational Data Using Entropy Based Relational Crisp Possibilistic Clustering""; ""1 Introduction""; ""2 Preparation""; ""2.1 Entropy Based Fuzzy c-Means Clustering ""; ""2.2 Entropy Based Relational Fuzzy c-Means Clustering ""; ""3 Entropy Based Relational Crisp Possibilistic Clustering""; ""3.1 Objective Function and Optimal Solution"" ""3.2 Algorithm of Proposed Method"" |
| Record Nr. | UNINA-9910299476103321 |
| Cham, Switzerland : , : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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. / / Maosong Sun [and seven others]
| 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. / / Maosong Sun [and seven others] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (229 pages) |
| Disciplina | 005.7 |
| Collana | Communications in computer and information science |
| Soggetto topico |
Big data
Knowledge representation (Information theory) Semantic computing |
| ISBN | 981-19-7596-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Knowledge Representation and Reasoning -- Investigating the Parallel Tractability of Knowledge Graph Reasoning via Boolean Circuits -- 1 Introduction -- 2 Background Knowledge -- 2.1 Datalog -- 2.2 Boolean Circuit and the NC Complexity -- 3 Performing Reasoning via Circuits -- 4 Parallelly Tractable Classes Captured by NC Circuits -- 5 Practical Usability of Theoretical Results -- 6 Conclusions and Future Work -- References -- Incorporating Uncertainty of Entities and Relations into Few-Shot Uncertain Knowledge Graph Embedding -- 1 Introduction -- 2 Related Work -- 2.1 Deterministic Knowledge Graph Embedding -- 2.2 Uncertain Knowledge Graph Embedding -- 2.3 Few-Shot Knowledge Graph Embedding -- 3 Problem Definition -- 3.1 Uncertain Knowledge Graph Embedding -- 3.2 Few-Shot Learning Settings -- 4 Methodology -- 4.1 Uncertainty of Entities and Relations -- 4.2 Model -- 4.3 Learning -- 5 Experiments -- 5.1 Datasets -- 5.2 Baselines -- 5.3 Experimental Setup -- 5.4 Tail Entity Prediction -- 5.5 Confidence Score Prediction -- 5.6 Ablation Studies -- 6 Conclusion -- References -- Knowledge Acquisition and Knowledge Base Construction -- TraConcept: Constructing a Concept Framework from Chinese Traffic Legal Texts -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 TraConcept -- 4.1 Domain Terms Encoding -- 4.2 Multi-relation Identification -- 4.3 Model Training -- 5 Experiments -- 5.1 Experimental Setup -- 5.2 Comparison with State-of-the-Art Models -- 5.3 Effectiveness of the Domain Term Pair Encoding -- 5.4 Effectiveness of the Tensor Layer -- 5.5 Error Inspection -- 6 Conclusion and the Future Work -- References -- Document-Level Relation Extraction with a Dependency Syntax Transformer and Supervised Contrastive Learning -- 1 Introduction -- 2 Method -- 2.1 Overview.
2.2 Dependency Syntax Pretraining Model Layer -- 2.3 Guass Enhancement Layer -- 2.4 Supervision Contrastive Losses with Fused Knowledge Layer -- 3 Experiments -- 3.1 Dataset -- 3.2 Experimental Setting -- 3.3 CDR and GDA Results -- 3.4 Ablation Study -- 3.5 Case Study -- 4 Related Work -- 4.1 Dependency Syntax Information -- 4.2 Contrastive Learning -- 5 Conclusion and Future Work -- References -- KGSG: Knowledge Guided Syntactic Graph Model for Drug-Drug Interaction Extraction -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Input Layer -- 3.2 Feature Extraction -- 3.3 Classification -- 4 Result and Discussion -- 4.1 Datasets and Evaluation Metrics -- 4.2 Experimental Settings -- 4.3 Experimental Results -- 4.4 Case Study -- 5 Conclusion -- References -- Hierarchical Modular Event Detection Based on Dependency Graph -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Encoding Module -- 3.2 Feature Aggregator -- 3.3 Hierarchical Modular -- 3.4 Classification Layer -- 4 Experiments -- 4.1 Data and Settings -- 4.2 Baselines -- 4.3 Overall Performance -- 5 Analysis -- 5.1 Ablation Study -- 5.2 Effect of Hierarchical Modular -- 5.3 Effect of GCN Layers -- 5.4 Case Study -- 6 Conclusion -- References -- Linked Data, Knowledge Integration, and Knowledge Graph Storage Management -- Explicit Sparse Attention Network for Multimodal Named Entity Recognition -- 1 Introduction -- 2 Related Work -- 2.1 Multi-modal NER -- 2.2 Attention Mechanism -- 3 Methodology -- 3.1 Feature Extractor -- 3.2 Multimodal Sparse Co-attention Layer -- 3.3 CRF Decoding -- 4 Experimentation -- 4.1 Experimental Settings -- 4.2 Result and Discussion -- 5 Conclusion -- References -- Optimization of Bit Matrix Index for Temporal RDF -- 1 Introduction -- 2 Related Work -- 2.1 Temporal RDF -- 2.2 TripleBit -- 3 Temporal RDF Storage and Indexing -- 3.1 Temporal Data Model. 3.2 Storage Structure -- 3.3 Temporal Statistics Index -- 4 Temporal Query Processing -- 4.1 Selectivity Estimation -- 4.2 Query Execution -- 5 Evaluation -- 5.1 Storage Space -- 5.2 Selectivity Estimation -- 5.3 Query Performance -- 6 Conclusions -- References -- Natural Language Understanding and Semantic Computing -- CSKE: Commonsense Knowledge Enhanced Text Extension Framework for Text-Based Logical Reasoning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Problem Formulization -- 3.2 Logic Extraction -- 3.3 Commonsense Enhanced Logic Extension -- 3.4 Logic Verbalization -- 3.5 Contrastive Learning -- 4 Experiments -- 5 Result and Analysis -- 5.1 Overall Results -- 5.2 Ablation Study -- 6 Conclusion -- References -- A Survey on Causal Discovery -- 1 Introduction -- 2 Background -- 2.1 Structural Causal Model -- 3 Methods -- 3.1 Traditional Methods -- 3.2 Continuous Optimization Based Methods -- 4 Guideline About Experiments -- 4.1 Available Datasets -- 4.2 Open-Source Code Packages -- 5 Conclusion -- References -- EK-BERT: An Enhanced K-BERT Model for Chinese Sentiment Analysis -- 1 Introduction -- 2 Related Work -- 2.1 Sentiment Analysis -- 2.2 Knowledge-Enhanced PLMs -- 2.3 Local Attention -- 3 Approach -- 3.1 Sentiment Knowledge Graph -- 3.2 Embedding Layer -- 3.3 Local Attention -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Results and Analysis -- 5 Conclusion -- References -- Incorporating Multilingual Knowledge Distillation into Machine Translation Evaluation -- 1 Introduction -- 2 Method -- 2.1 Multilingual Knowledge Distillation -- 2.2 BERTScore -- 2.3 BERTScore-MKD -- 3 Experiments -- 3.1 Datasets -- 3.2 Baselines -- 3.3 Results -- 3.4 Effects of Embedding Layers -- 3.5 As Reference-Based Metric -- 4 Conclusion -- References -- Regularizing Deep Text Models by Encouraging Competition -- 1 Introduction -- 2 Related Works. 3 Encoding and Scoring in Text Learning -- 4 Competitive Word Dropout -- 4.1 The Word-Neglecting Component D -- 4.2 Property of D -- 4.3 Using CWD -- 5 Experiments -- 5.1 Tasks -- 5.2 Models and Regularization Schemes -- 5.3 Experimental Results -- 6 Conclusion -- References -- A Survey on Table Question Answering: Recent Advances -- 1 Introduction -- 2 Background -- 2.1 The Composition of Tables -- 2.2 Semantic Parsing -- 2.3 Table Question Answering -- 3 Overview of Datasets -- 4 Semantic-Parsing-Based Methods -- 4.1 Weakly-Supervised Table Semantic Parsing -- 4.2 Fully-Supervised Table Semantic Parsing -- 5 Non-semantic-Parsing-Based Methods -- 5.1 Generative Methods -- 5.2 Extractive Methods -- 5.3 Matching-Based Methods -- 5.4 Retriever-Reader-Based Methods -- 6 Challenges and Future Directions -- References -- Knowledge Graph Applications -- Knowledge-Aware Topological Networks for Recommendation -- 1 Introduction -- 2 Methodology -- 2.1 Background and Preliminary -- 2.2 Topological Graph Network -- 2.3 Personalized Relation-Aware Entity Embedding -- 3 Experiments -- 3.1 Datasets -- 3.2 Baselines -- 3.3 Experiments Setup -- 3.4 Results -- 4 Conclusion -- References -- Knowledge Graph Open Resources -- IREE: A Fine-Grained Dataset for Chinese Event Extraction in Investment Research -- 1 Introduction -- 2 Related Work -- 3 Datasets Construction -- 3.1 Data Resource -- 3.2 Data Annotation -- 4 Experiments -- 5 Conclusion -- References -- ELETerm: A Chinese Electric Power Term Dataset -- 1 Introduction -- 2 The ELETerm Dataset -- 2.1 Data Resources -- 2.2 Data Processing -- 3 Datasets Statistics and Application -- 3.1 Statistics and Analysis -- 3.2 Application -- 4 Conclusion and Future Work -- References -- Author Index. |
| Record Nr. | UNINA-9910631077203321 |
| Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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. / / Maosong Sun [and seven others]
| 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. / / Maosong Sun [and seven others] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (229 pages) |
| Disciplina | 005.7 |
| Collana | Communications in computer and information science |
| Soggetto topico |
Big data
Knowledge representation (Information theory) Semantic computing |
| ISBN | 981-19-7596-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Knowledge Representation and Reasoning -- Investigating the Parallel Tractability of Knowledge Graph Reasoning via Boolean Circuits -- 1 Introduction -- 2 Background Knowledge -- 2.1 Datalog -- 2.2 Boolean Circuit and the NC Complexity -- 3 Performing Reasoning via Circuits -- 4 Parallelly Tractable Classes Captured by NC Circuits -- 5 Practical Usability of Theoretical Results -- 6 Conclusions and Future Work -- References -- Incorporating Uncertainty of Entities and Relations into Few-Shot Uncertain Knowledge Graph Embedding -- 1 Introduction -- 2 Related Work -- 2.1 Deterministic Knowledge Graph Embedding -- 2.2 Uncertain Knowledge Graph Embedding -- 2.3 Few-Shot Knowledge Graph Embedding -- 3 Problem Definition -- 3.1 Uncertain Knowledge Graph Embedding -- 3.2 Few-Shot Learning Settings -- 4 Methodology -- 4.1 Uncertainty of Entities and Relations -- 4.2 Model -- 4.3 Learning -- 5 Experiments -- 5.1 Datasets -- 5.2 Baselines -- 5.3 Experimental Setup -- 5.4 Tail Entity Prediction -- 5.5 Confidence Score Prediction -- 5.6 Ablation Studies -- 6 Conclusion -- References -- Knowledge Acquisition and Knowledge Base Construction -- TraConcept: Constructing a Concept Framework from Chinese Traffic Legal Texts -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 TraConcept -- 4.1 Domain Terms Encoding -- 4.2 Multi-relation Identification -- 4.3 Model Training -- 5 Experiments -- 5.1 Experimental Setup -- 5.2 Comparison with State-of-the-Art Models -- 5.3 Effectiveness of the Domain Term Pair Encoding -- 5.4 Effectiveness of the Tensor Layer -- 5.5 Error Inspection -- 6 Conclusion and the Future Work -- References -- Document-Level Relation Extraction with a Dependency Syntax Transformer and Supervised Contrastive Learning -- 1 Introduction -- 2 Method -- 2.1 Overview.
2.2 Dependency Syntax Pretraining Model Layer -- 2.3 Guass Enhancement Layer -- 2.4 Supervision Contrastive Losses with Fused Knowledge Layer -- 3 Experiments -- 3.1 Dataset -- 3.2 Experimental Setting -- 3.3 CDR and GDA Results -- 3.4 Ablation Study -- 3.5 Case Study -- 4 Related Work -- 4.1 Dependency Syntax Information -- 4.2 Contrastive Learning -- 5 Conclusion and Future Work -- References -- KGSG: Knowledge Guided Syntactic Graph Model for Drug-Drug Interaction Extraction -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Input Layer -- 3.2 Feature Extraction -- 3.3 Classification -- 4 Result and Discussion -- 4.1 Datasets and Evaluation Metrics -- 4.2 Experimental Settings -- 4.3 Experimental Results -- 4.4 Case Study -- 5 Conclusion -- References -- Hierarchical Modular Event Detection Based on Dependency Graph -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Encoding Module -- 3.2 Feature Aggregator -- 3.3 Hierarchical Modular -- 3.4 Classification Layer -- 4 Experiments -- 4.1 Data and Settings -- 4.2 Baselines -- 4.3 Overall Performance -- 5 Analysis -- 5.1 Ablation Study -- 5.2 Effect of Hierarchical Modular -- 5.3 Effect of GCN Layers -- 5.4 Case Study -- 6 Conclusion -- References -- Linked Data, Knowledge Integration, and Knowledge Graph Storage Management -- Explicit Sparse Attention Network for Multimodal Named Entity Recognition -- 1 Introduction -- 2 Related Work -- 2.1 Multi-modal NER -- 2.2 Attention Mechanism -- 3 Methodology -- 3.1 Feature Extractor -- 3.2 Multimodal Sparse Co-attention Layer -- 3.3 CRF Decoding -- 4 Experimentation -- 4.1 Experimental Settings -- 4.2 Result and Discussion -- 5 Conclusion -- References -- Optimization of Bit Matrix Index for Temporal RDF -- 1 Introduction -- 2 Related Work -- 2.1 Temporal RDF -- 2.2 TripleBit -- 3 Temporal RDF Storage and Indexing -- 3.1 Temporal Data Model. 3.2 Storage Structure -- 3.3 Temporal Statistics Index -- 4 Temporal Query Processing -- 4.1 Selectivity Estimation -- 4.2 Query Execution -- 5 Evaluation -- 5.1 Storage Space -- 5.2 Selectivity Estimation -- 5.3 Query Performance -- 6 Conclusions -- References -- Natural Language Understanding and Semantic Computing -- CSKE: Commonsense Knowledge Enhanced Text Extension Framework for Text-Based Logical Reasoning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Problem Formulization -- 3.2 Logic Extraction -- 3.3 Commonsense Enhanced Logic Extension -- 3.4 Logic Verbalization -- 3.5 Contrastive Learning -- 4 Experiments -- 5 Result and Analysis -- 5.1 Overall Results -- 5.2 Ablation Study -- 6 Conclusion -- References -- A Survey on Causal Discovery -- 1 Introduction -- 2 Background -- 2.1 Structural Causal Model -- 3 Methods -- 3.1 Traditional Methods -- 3.2 Continuous Optimization Based Methods -- 4 Guideline About Experiments -- 4.1 Available Datasets -- 4.2 Open-Source Code Packages -- 5 Conclusion -- References -- EK-BERT: An Enhanced K-BERT Model for Chinese Sentiment Analysis -- 1 Introduction -- 2 Related Work -- 2.1 Sentiment Analysis -- 2.2 Knowledge-Enhanced PLMs -- 2.3 Local Attention -- 3 Approach -- 3.1 Sentiment Knowledge Graph -- 3.2 Embedding Layer -- 3.3 Local Attention -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Results and Analysis -- 5 Conclusion -- References -- Incorporating Multilingual Knowledge Distillation into Machine Translation Evaluation -- 1 Introduction -- 2 Method -- 2.1 Multilingual Knowledge Distillation -- 2.2 BERTScore -- 2.3 BERTScore-MKD -- 3 Experiments -- 3.1 Datasets -- 3.2 Baselines -- 3.3 Results -- 3.4 Effects of Embedding Layers -- 3.5 As Reference-Based Metric -- 4 Conclusion -- References -- Regularizing Deep Text Models by Encouraging Competition -- 1 Introduction -- 2 Related Works. 3 Encoding and Scoring in Text Learning -- 4 Competitive Word Dropout -- 4.1 The Word-Neglecting Component D -- 4.2 Property of D -- 4.3 Using CWD -- 5 Experiments -- 5.1 Tasks -- 5.2 Models and Regularization Schemes -- 5.3 Experimental Results -- 6 Conclusion -- References -- A Survey on Table Question Answering: Recent Advances -- 1 Introduction -- 2 Background -- 2.1 The Composition of Tables -- 2.2 Semantic Parsing -- 2.3 Table Question Answering -- 3 Overview of Datasets -- 4 Semantic-Parsing-Based Methods -- 4.1 Weakly-Supervised Table Semantic Parsing -- 4.2 Fully-Supervised Table Semantic Parsing -- 5 Non-semantic-Parsing-Based Methods -- 5.1 Generative Methods -- 5.2 Extractive Methods -- 5.3 Matching-Based Methods -- 5.4 Retriever-Reader-Based Methods -- 6 Challenges and Future Directions -- References -- Knowledge Graph Applications -- Knowledge-Aware Topological Networks for Recommendation -- 1 Introduction -- 2 Methodology -- 2.1 Background and Preliminary -- 2.2 Topological Graph Network -- 2.3 Personalized Relation-Aware Entity Embedding -- 3 Experiments -- 3.1 Datasets -- 3.2 Baselines -- 3.3 Experiments Setup -- 3.4 Results -- 4 Conclusion -- References -- Knowledge Graph Open Resources -- IREE: A Fine-Grained Dataset for Chinese Event Extraction in Investment Research -- 1 Introduction -- 2 Related Work -- 3 Datasets Construction -- 3.1 Data Resource -- 3.2 Data Annotation -- 4 Experiments -- 5 Conclusion -- References -- ELETerm: A Chinese Electric Power Term Dataset -- 1 Introduction -- 2 The ELETerm Dataset -- 2.1 Data Resources -- 2.2 Data Processing -- 3 Datasets Statistics and Application -- 3.1 Statistics and Analysis -- 3.2 Application -- 4 Conclusion and Future Work -- References -- Author Index. |
| Record Nr. | UNISA-996499855303316 |
| Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Knowledge representation / / edited by Ronald J. Brachman, Hector J. Levesque, and Raymond Reiter
| Knowledge representation / / edited by Ronald J. Brachman, Hector J. Levesque, and Raymond Reiter |
| Edizione | [1st MIT Press ed.] |
| Pubbl/distr/stampa | Cambridge, Massachusetts : , : MIT Press, , 1992 |
| Descrizione fisica | 1 PDF (408 pages) : illustrations |
| Disciplina | 003/.54 |
| Altri autori (Persone) |
BrachmanRonald J. <1949->
LevesqueHector J. <1951-> ReiterRay |
| Collana | Special issues of Artificial intelligence, an international journal |
| Soggetto topico | Knowledge representation (Information theory) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910260610103321 |
| Cambridge, Massachusetts : , : MIT Press, , 1992 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge representation and reasoning [[electronic resource] /] / Ronald J. Brachman, Hector J. Levesque
| Knowledge representation and reasoning [[electronic resource] /] / Ronald J. Brachman, Hector J. Levesque |
| Autore | Brachman Ronald J. <1949-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Morgan Kaufmann, c2004 |
| Descrizione fisica | 1 online resource (413 p.) |
| Disciplina | 006.3/32 |
| Altri autori (Persone) | LevesqueHector J. <1951-> |
| Collana | The Morgan Kaufmann Series in Artificial Intelligence |
| Soggetto topico |
Knowledge representation (Information theory)
Reasoning |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-04931-X
9786611049317 0-08-048932-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Knowledge Representation and Reasoning; Copyright Page; Contents; Preface; Acknowledgments; Chapter 1. Introduction; 1.1 The Key Concepts: Knowledge, Representation, and Reasoning; 1.2 Why Knowledge Representation and Reasoning?; 1.3 The Role of Logic; 1.4 Bibliographic Notes; 1.5 Exercises; Chapter 2. The Language of First-Order Logic; 2.1 Introduction; 2.2 The Syntax; 2.3 The Semantics; 2.4 The Pragmatics; 2.5 Explicit and Implicit Belief; 2.6 Bibliographic Notes; 2.7 Exercises; Chapter 3. Expressing Knowledge; 3.1 Knowledge Engineering; 3.2 Vocabulary; 3.3 Basic Facts
3.4 Complex Facts3.5 Terminological Facts; 3.6 Entailments; 3.7 Abstract Individuals; 3.8 Other Sorts of Facts; 3.9 Bibliographic Notes; 3.10 Exercises; Chapter 4. Resolution; 4.1 The Propositional Case; 4.2 Handling Variables and Quantifiers; 4.3 Dealing with Computational Intractability; 4.4 Bibliographic Notes; 4.5 Exercises; Chapter 5. Reasoning with Horn Clauses; 5.1 Horn Clauses; 5.2 SLD Resolution; 5.3 Computing SLD Derivations; 5.4 Bibliographic Notes; 5.5 Exercises; Chapter 6. Procedural Control of Reasoning; 6.1 Facts and Rules; 6.2 Rule Formation and Search Strategy 6.3 Algorithm Design6.4 Specifying Goal Order; 6.5 Committing to Proof Methods; 6.6 Controlling Backtracking; 6.7 Negation as Failure; 6.8 Dynamic Databases; 6.9 Bibliographic Notes; 6.10 Exercises; Chapter 7. Rules in Production Systems; 7.1 Production Systems: Basic Operation; 7.2 Working Memory; 7.3 Production Rules; 7.4 A First Example; 7.5 A Second Example; 7.6 Conflict Resolution; 7.7 Making Production Systems More Efficient; 7.8 Applications and Advantages; 7.9 Some Significant Production Rule Systems; 7.10 Bibliographic Notes; 7.11 Exercises; Chapter 8. Object-Oriented Representation 8.1 Objects and Frames8.2 A Basic Frame Formalism; 8.3 An Example: Using Frames to Plan a Trip; 8.4 Beyond the Basics; 8.5 Bibliographic Notes; 8.6 Exercises; Chapter 9. Structured Descriptions; 9.1 Descriptions; 9.2 A Description Language; 9.3 Meaning and Entailment; 9.4 Computing Entailments; 9.5 Taxonomies and Classification; 9.6 Beyond the Basics; 9.7 Bibliographic Notes; 9.8 Exercises; Chapter 10. Inheritance; 10.1 Inheritance Networks; 10.2 Strategies for Defeasible Inheritance; 10.3 A Formal Account of Inheritance Networks; 10.4 Bibliographic Notes; 10.5 Exercises; Chapter 11. Defaults 11.1 Introduction11.2 Closed-World Reasoning; 11.3 Circumscription; 11.4 Default Logic; 11.5 Autoepistemic Logic; 11.6 Conclusion; 11.7 Bibliographic Notes; 11.8 Exercises; Chapter 12. Vagueness, Uncertainty, and Degrees of Belief; 12.1 Noncategorical Reasoning; 12.2 Objective Probability; 12.3 Subjective Probability; 12.4 Vagueness; 12.5 Bibliographic Notes; 12.6 Exercises; Chapter 13. Explanation and Diagnosis; 13.1 Diagnosis; 13.2 Explanation; 13.3 A Circuit Example; 13.4 Beyond the Basics; 13.5 Bibliographic Notes; 13.6 Exercises; Chapter 14. Actions; 14.1 The Situation Calculus 14.2 A Simple Solution to the Frame Problem |
| Record Nr. | UNINA-9910450505103321 |
Brachman Ronald J. <1949->
|
||
| Amsterdam ; ; Boston, : Morgan Kaufmann, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge representation and reasoning [[electronic resource] /] / Ronald J. Brachman, Hector J. Levesque
| Knowledge representation and reasoning [[electronic resource] /] / Ronald J. Brachman, Hector J. Levesque |
| Autore | Brachman Ronald J. <1949-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Morgan Kaufmann, c2004 |
| Descrizione fisica | 1 online resource (413 p.) |
| Disciplina | 006.3/32 |
| Altri autori (Persone) | LevesqueHector J. <1951-> |
| Collana | The Morgan Kaufmann Series in Artificial Intelligence |
| Soggetto topico |
Knowledge representation (Information theory)
Reasoning |
| ISBN |
1-281-04931-X
9786611049317 0-08-048932-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Knowledge Representation and Reasoning; Copyright Page; Contents; Preface; Acknowledgments; Chapter 1. Introduction; 1.1 The Key Concepts: Knowledge, Representation, and Reasoning; 1.2 Why Knowledge Representation and Reasoning?; 1.3 The Role of Logic; 1.4 Bibliographic Notes; 1.5 Exercises; Chapter 2. The Language of First-Order Logic; 2.1 Introduction; 2.2 The Syntax; 2.3 The Semantics; 2.4 The Pragmatics; 2.5 Explicit and Implicit Belief; 2.6 Bibliographic Notes; 2.7 Exercises; Chapter 3. Expressing Knowledge; 3.1 Knowledge Engineering; 3.2 Vocabulary; 3.3 Basic Facts
3.4 Complex Facts3.5 Terminological Facts; 3.6 Entailments; 3.7 Abstract Individuals; 3.8 Other Sorts of Facts; 3.9 Bibliographic Notes; 3.10 Exercises; Chapter 4. Resolution; 4.1 The Propositional Case; 4.2 Handling Variables and Quantifiers; 4.3 Dealing with Computational Intractability; 4.4 Bibliographic Notes; 4.5 Exercises; Chapter 5. Reasoning with Horn Clauses; 5.1 Horn Clauses; 5.2 SLD Resolution; 5.3 Computing SLD Derivations; 5.4 Bibliographic Notes; 5.5 Exercises; Chapter 6. Procedural Control of Reasoning; 6.1 Facts and Rules; 6.2 Rule Formation and Search Strategy 6.3 Algorithm Design6.4 Specifying Goal Order; 6.5 Committing to Proof Methods; 6.6 Controlling Backtracking; 6.7 Negation as Failure; 6.8 Dynamic Databases; 6.9 Bibliographic Notes; 6.10 Exercises; Chapter 7. Rules in Production Systems; 7.1 Production Systems: Basic Operation; 7.2 Working Memory; 7.3 Production Rules; 7.4 A First Example; 7.5 A Second Example; 7.6 Conflict Resolution; 7.7 Making Production Systems More Efficient; 7.8 Applications and Advantages; 7.9 Some Significant Production Rule Systems; 7.10 Bibliographic Notes; 7.11 Exercises; Chapter 8. Object-Oriented Representation 8.1 Objects and Frames8.2 A Basic Frame Formalism; 8.3 An Example: Using Frames to Plan a Trip; 8.4 Beyond the Basics; 8.5 Bibliographic Notes; 8.6 Exercises; Chapter 9. Structured Descriptions; 9.1 Descriptions; 9.2 A Description Language; 9.3 Meaning and Entailment; 9.4 Computing Entailments; 9.5 Taxonomies and Classification; 9.6 Beyond the Basics; 9.7 Bibliographic Notes; 9.8 Exercises; Chapter 10. Inheritance; 10.1 Inheritance Networks; 10.2 Strategies for Defeasible Inheritance; 10.3 A Formal Account of Inheritance Networks; 10.4 Bibliographic Notes; 10.5 Exercises; Chapter 11. Defaults 11.1 Introduction11.2 Closed-World Reasoning; 11.3 Circumscription; 11.4 Default Logic; 11.5 Autoepistemic Logic; 11.6 Conclusion; 11.7 Bibliographic Notes; 11.8 Exercises; Chapter 12. Vagueness, Uncertainty, and Degrees of Belief; 12.1 Noncategorical Reasoning; 12.2 Objective Probability; 12.3 Subjective Probability; 12.4 Vagueness; 12.5 Bibliographic Notes; 12.6 Exercises; Chapter 13. Explanation and Diagnosis; 13.1 Diagnosis; 13.2 Explanation; 13.3 A Circuit Example; 13.4 Beyond the Basics; 13.5 Bibliographic Notes; 13.6 Exercises; Chapter 14. Actions; 14.1 The Situation Calculus 14.2 A Simple Solution to the Frame Problem |
| Record Nr. | UNINA-9910783135703321 |
|
Brachman Ronald J. <1949->
|
||
| Amsterdam ; ; Boston, : Morgan Kaufmann, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge representation and reasoning [[electronic resource] /] / Ronald J. Brachman, Hector J. Levesque
| Knowledge representation and reasoning [[electronic resource] /] / Ronald J. Brachman, Hector J. Levesque |
| Autore | Brachman Ronald J. <1949-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Morgan Kaufmann, c2004 |
| Descrizione fisica | 1 online resource (413 p.) |
| Disciplina | 006.3/32 |
| Altri autori (Persone) | LevesqueHector J. <1951-> |
| Collana | The Morgan Kaufmann Series in Artificial Intelligence |
| Soggetto topico |
Knowledge representation (Information theory)
Reasoning |
| ISBN |
1-281-04931-X
9786611049317 0-08-048932-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Knowledge Representation and Reasoning; Copyright Page; Contents; Preface; Acknowledgments; Chapter 1. Introduction; 1.1 The Key Concepts: Knowledge, Representation, and Reasoning; 1.2 Why Knowledge Representation and Reasoning?; 1.3 The Role of Logic; 1.4 Bibliographic Notes; 1.5 Exercises; Chapter 2. The Language of First-Order Logic; 2.1 Introduction; 2.2 The Syntax; 2.3 The Semantics; 2.4 The Pragmatics; 2.5 Explicit and Implicit Belief; 2.6 Bibliographic Notes; 2.7 Exercises; Chapter 3. Expressing Knowledge; 3.1 Knowledge Engineering; 3.2 Vocabulary; 3.3 Basic Facts
3.4 Complex Facts3.5 Terminological Facts; 3.6 Entailments; 3.7 Abstract Individuals; 3.8 Other Sorts of Facts; 3.9 Bibliographic Notes; 3.10 Exercises; Chapter 4. Resolution; 4.1 The Propositional Case; 4.2 Handling Variables and Quantifiers; 4.3 Dealing with Computational Intractability; 4.4 Bibliographic Notes; 4.5 Exercises; Chapter 5. Reasoning with Horn Clauses; 5.1 Horn Clauses; 5.2 SLD Resolution; 5.3 Computing SLD Derivations; 5.4 Bibliographic Notes; 5.5 Exercises; Chapter 6. Procedural Control of Reasoning; 6.1 Facts and Rules; 6.2 Rule Formation and Search Strategy 6.3 Algorithm Design6.4 Specifying Goal Order; 6.5 Committing to Proof Methods; 6.6 Controlling Backtracking; 6.7 Negation as Failure; 6.8 Dynamic Databases; 6.9 Bibliographic Notes; 6.10 Exercises; Chapter 7. Rules in Production Systems; 7.1 Production Systems: Basic Operation; 7.2 Working Memory; 7.3 Production Rules; 7.4 A First Example; 7.5 A Second Example; 7.6 Conflict Resolution; 7.7 Making Production Systems More Efficient; 7.8 Applications and Advantages; 7.9 Some Significant Production Rule Systems; 7.10 Bibliographic Notes; 7.11 Exercises; Chapter 8. Object-Oriented Representation 8.1 Objects and Frames8.2 A Basic Frame Formalism; 8.3 An Example: Using Frames to Plan a Trip; 8.4 Beyond the Basics; 8.5 Bibliographic Notes; 8.6 Exercises; Chapter 9. Structured Descriptions; 9.1 Descriptions; 9.2 A Description Language; 9.3 Meaning and Entailment; 9.4 Computing Entailments; 9.5 Taxonomies and Classification; 9.6 Beyond the Basics; 9.7 Bibliographic Notes; 9.8 Exercises; Chapter 10. Inheritance; 10.1 Inheritance Networks; 10.2 Strategies for Defeasible Inheritance; 10.3 A Formal Account of Inheritance Networks; 10.4 Bibliographic Notes; 10.5 Exercises; Chapter 11. Defaults 11.1 Introduction11.2 Closed-World Reasoning; 11.3 Circumscription; 11.4 Default Logic; 11.5 Autoepistemic Logic; 11.6 Conclusion; 11.7 Bibliographic Notes; 11.8 Exercises; Chapter 12. Vagueness, Uncertainty, and Degrees of Belief; 12.1 Noncategorical Reasoning; 12.2 Objective Probability; 12.3 Subjective Probability; 12.4 Vagueness; 12.5 Bibliographic Notes; 12.6 Exercises; Chapter 13. Explanation and Diagnosis; 13.1 Diagnosis; 13.2 Explanation; 13.3 A Circuit Example; 13.4 Beyond the Basics; 13.5 Bibliographic Notes; 13.6 Exercises; Chapter 14. Actions; 14.1 The Situation Calculus 14.2 A Simple Solution to the Frame Problem |
| Record Nr. | UNINA-9910825613503321 |
|
Brachman Ronald J. <1949->
|
||
| Amsterdam ; ; Boston, : Morgan Kaufmann, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge representation in the PUPS theory / / John R. Anderson and Ross Thompson
| Knowledge representation in the PUPS theory / / John R. Anderson and Ross Thompson |
| Autore | Anderson John R. |
| Pubbl/distr/stampa | Alexandria, VA : , : U.S. Army Research Institute for the Behavioral and Social Sciences, , May 1987 |
| Descrizione fisica | 1 online resource (approximately 52 pages) : illustrations |
| Collana | ARI research note |
| Soggetto topico |
Knowledge representation (Information theory)
Decision making Linguistics Psychology Cognition |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910713416103321 |
|
Anderson John R.
|
||
| Alexandria, VA : , : U.S. Army Research Institute for the Behavioral and Social Sciences, , May 1987 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge representation in the social semantic Web [[electronic resource] /] / Katrin Weller
| Knowledge representation in the social semantic Web [[electronic resource] /] / Katrin Weller |
| Autore | Weller Katrin |
| Pubbl/distr/stampa | New York, : De Gruyter Saur, c2010 |
| Descrizione fisica | 1 online resource (457 p.) |
| Disciplina | 025.04 |
| Collana | Knowledge & information |
| Soggetto topico |
Semantic Web
Knowledge representation (Information theory) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-91218-6
9786612912184 3-598-44158-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Introduction -- Chapter 1. Knowledge Representation and Indexing: Background and Future -- 1.1 Knowledge Representation -- 1.2 The Semantic Web -- 1.3 The Social Web -- 1.4 The Social Semantic Web -- Chapter 2. Ontologies: Semantics for the Web -- 2.1 Ontologies: Definition and Background -- 2.2 Structure and Elements of Ontologies -- 2.3 Ontologies as Knowledge Organization Systems -- Chapter 3. Ontology Engineering in the Era of the Social Semantic Web -- 3.1 Ontology Engineering -- 3.2 Community-based Ontology Engineering -- 3.3 Semantic Upgrades & Tag Gardening -- 3.4 Co-Existence of Knowledge Organization Systems -- Conclusion & Outlook -- Backmatter |
| Record Nr. | UNINA-9910459276203321 |
|
Weller Katrin
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| New York, : De Gruyter Saur, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
