Knowledge graphs and semantic web : 4th Iberoamerican Conference and Third Indo-American Conference, KGSWC 2022, Madrid, Spain, November 21-23, 2022 / / edited by Boris Villazón-Terrazas, [and four others]

• Record Nr.: UNISA996499856503316
• Pubbl/distr/stampa: Cham, Switzerland : , : Springer, , [2022]; ©2022
• ISBN: 3-031-21422-6
• Descrizione fisica: 1 online resource (355 pages)
• Collana: Communications in Computer and Information Science Ser. ; ; v.1686
• Disciplina: 636.005
• Soggetti: Semantic Web
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Preface -- Organization -- Contents -- DBkWik++- Multi Source Matching of Knowledge Graphs -- 1 Introduction -- 2 Related Work -- 3 DBkWik++ -- 3.1 Acquisition of Wiki Dumps -- 3.2 Creating KGs With DBpedia Extraction Framework -- 3.3 Linking -- 3.4 Knowledge Graph Fusion -- 3.5 Provenance Information -- 4 Analysis of the Resulting Alignment -- 5 Analysis of the Resulting Knowledge Graph -- 5.1 Resource Availability -- 6 Conclusion and Outlook -- References -- A Survey on Knowledge Graph-Based Methods for Automated Driving -- 1 Introduction -- 2 Preliminaries -- 2.1 Knowledge Graphs and Ontologies -- 2.2 Knowledge Representation Learning -- 3 Ontologies for Automated Driving -- 4 Knowledge Graphs Applied to Automated Driving -- 4.1 Object Detection -- 4.2 Semantic Segmentation -- 4.3 Mapping -- 4.4 Scene Understanding -- 4.5 Object Behavior Prediction -- 4.6 Motion Planing -- 4.7 Validation -- 5 Conclusions -- References -- Physicians' Brain Digital Twin: Holistic Clinical &amp -- Biomedical Knowledge Graphs for Patient Safety and Value-Based Care to Prevent the Post-pandemic Healthcare Ecosystem Crisis -- 1 Introduction -- 2 Healthcare Knowledge Graphs -- 2.1 Symptomatomics -- 2.2 Diseasomics -- 2.3 SNOMED CT Knowledge Graph -- 2.4 Disease-Gene Network -- 2.5 Multimorbidity -- 2.6 Resistomics -- 2.7 Patholomics -- 2.8 Oncolomics -- 2.9 ; Drugomics -- 3 Integration of Knowledge Graphs -- 4 Validation of the Integrated Knowledge Graphs -- 4.1 Ontology Validation -- 4.2 Diseasomics Validation -- 4.3 Multimorbidity Validation -- 5 Knowledge at the Point-of-Care -- 6 Conclusion -- References -- Combining Ontology and Natural Language Processing Methods for Prevention of Falls from Height -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Step 1: Extract of Key Entities and Relations -- 3.2 Step 2: Ontology Design.; 3.3 Step 3: Populate the Ontology -- 3.4 Step 4: Query the Ontology -- 4 Experimentation and Validation -- 4.1 Fall from Height Use Case -- 4.2 Results of Our Approach and Discussion -- 5 Conclusion and Perspectives -- References -- Learning to Automatically Generating Genre-Specific Song Lyrics: A Comparative Study -- 1 Introduction -- 2 Problem Statement -- 3 Literature Review -- 3.1 Generating Non-genre-specific Lyrics -- 3.2 Generating Lyrics for a Specific Genre -- 3.3 Generating Lyrics for Multiple Genres -- 4 Methodology -- 4.1 Dataset Description -- 4.2 Data Pre-processing -- 4.3 Data Analysis -- 4.4 Markov Chains -- 4.5 Long Short-Term Memory (LSTM) -- 4.6 Gated Recurrent Units (GRU) -- 5 Evaluation Criteria -- 5.1 Model Performance -- 5.2 Average Readability -- 5.3 Rhyme Density Score -- 5.4 Sample Output of Generated Song Lyrics -- 6 Discussion -- 6.1 Models -- 6.2 Limitations -- 7 Conclusion and Future Work -- References -- DLIME-Graphs: A DLIME Extension Based on Triple Embedding for Graphs -- 1 Introduction -- 2 Related Work -- 2.1 Triple Embeddings -- 3 Interpretable Method: DLIME-Graphs -- 3.1 Triple Embeddings Using SBERT -- 3.2 Dimension Reduction Using UMAP Technique -- 3.3 Clustering Using HDBSCAN -- 3.4 Interpretable Models -- 3.5 Logistic Regression Model -- 3.6 Decision Tree Model -- 3.7 Similar Triples Selection Using KNN -- 4 Study Case -- 4.1 Triple Prediction with KG-BERT -- 4.2 DLIME-Graphs Application -- 5 Conclusions and Future Work -- References -- Edge-Labelled Graphs and Property Graphs - To the User, More Similar Than Different -- 1 Introduction -- 2 Related Work -- 3 Overview of the Study -- 4 Nodes, Literals and Reverse Predicates -- 5 Class Hierarchies -- 6 Metadata About Predicates -- 7 Metadata About Node Metadata -- 8 Metadata About Predicate Metadata -- 9 Conclusions and Future Directions -- References.; Knowledge Graph Supported Machine Parameterization for the Injection Moulding Industry -- 1 Introduction -- 2 Problem Statement -- 3 Knowledge Graph for Product Quality Management -- 3.1 Knowledge Sources -- 3.2 FMEA-IPAP Ontology -- 3.3 Construction Pipeline Implementation -- 3.4 Knowledge Graph Instance and Statistics -- 4 Use Case: Shop Floor Parameter Adjustment Recommendation -- 5 Discussion -- 6 Related Work -- 7 Conclusion and Future Work -- References -- IPR: Integrative Policy Recommendation Framework Based on Hybrid Semantics -- 1 Introduction -- 2 Related Works -- 3 Proposed System Architecture -- 4 Results -- 5 Conclusion -- References -- Convolutional Neural Networks Applied to Emotion Analysis in Texts: Experimentation from the Mexican Context -- 1 Introduction -- 2 CNN Applied to Emotion Analysis and Sentiment Analysis -- 3 The State of the Art of Deep Learning Applied to Emotion Analysis and Sentiment Analysis -- 3.1 Important Works of Machine Learning and Deep Learning Techniques -- 3.2 Emotional Frameworks -- 4 Construction of the Computational Model Applied to Emotion Analysis and Sentiment Analysis -- 4.1 Optimizers -- 5 Implementation -- 5.1 Data Collection and Preprocessing -- 5.2 Text Polarity Classification (Positive and Negative) with Multiple Models of Different Numbers of Neurons and Different Optimizers -- 5.3 Emotion Analysis ; in Texts in Mexican Context -- 6 Conclusions and Future Work -- References -- Proficient Annotation Recommendation in a Biomedical Content Authoring Environment -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Base Level Annotation -- 2.2 The Socio-Technical Approach -- 2.3 Semantically Recommendation Features (SR-FS) -- 3 Experiments -- 3.1 Datasets -- 3.2 Results and Analysis -- 4 Conclusion -- References -- DKMI: Diversification of Web Image Search Using Knowledge Centric Machine Intelligence.; 1 Introduction -- 2 Related Works -- 3 Proposed System Architecture -- 4 Results and Performance Evaluation -- 5 Conclusions -- References -- Does Wikidata Support Analogical Reasoning? -- 1 Introduction -- 2 Does Wikidata Express Relational Information Consistently? -- 2.1 Data and Setup -- 2.2 Findings -- 3 Does Wikidata Support Extraction of Analogy Classification Data? -- 3.1 Dataset Construction -- 3.2 Baseline Models -- 3.3 Results -- 4 Towards Automated Analogy Generation Using Wikidata Structure -- 4.1 What Makes a Good (Wikidata) Analogy? -- 4.2 Metrics on the Wikidata Ontology -- 4.3 Illustrative Examples of Wikidata Relationships -- 5 Related Work -- 6 Conclusions -- References -- Flexible Queries over Knowledge Graphs -- 1 Introduction -- 2 Background -- 3 Flexible Querying -- 4 Related Work -- 5 Conclusions and Future Work -- References -- Knowledge Graphs for Community Detection in Textual Data -- 1 Introduction -- 2 Methodology -- 2.1 Entity Linking -- 2.2 Automatic Keyphrase Extraction -- 2.3 Knowledge Graph Generation -- 2.4 Community Detection -- 3 Experiment -- 3.1 Configuration -- 3.2 Results and Discussions -- 4 Conclusions and Future Work -- References -- Framework for Author Name Disambiguation in Scientific Papers Using an Ontological Approach and Deep Learning -- 1 Introduction -- 2 Related Works -- 2.1 Ontology-Based AND -- 2.2 Deep Learning-Based AND -- 3 Materials and Methods -- 3.1 Dataset -- 3.2 Ontology Model -- 3.3 Preprocessing -- 3.4 Similarity Indicators -- 3.5 Deep Learning -- 4 Results and Discussion -- 4.1 Experimental Results -- 4.2 Findings -- 5 Conclusions -- References -- On Contrasting YAGO with GPT-J: An Experiment for Person-Related Attributes -- 1 Introduction -- 2 Background -- 2.1 Knowledge Graphs and Text -- 2.2 Pre-trained Language Models and KGs -- 3 Methods -- 3.1 Extracting Sentences from YAGO.; 3.2 Generation of Questions and Factual Sentences -- 3.3 Probing Procedure -- 3.4 Contrasting the Outputs Generated -- 4 Results and Discussion -- 4.1 Experiment Results -- 4.2 Discussion and Observations -- 5 Conclusions and Outlook -- References -- Easy and Complex: New Perspectives for Metadata Modeling Using RDF-Star and Named Graphs -- 1 Introduction -- 2 Related Work -- 3 Meta Modeling Patterns -- 3.1 Pattern 1: RDF Provenance Modeling in the Meta-level -- 3.2 Pattern 2: Extending an Existing Data Model -- 3.3 Pattern 3: Shifting Complex Relations to the Meta-level -- 4 Querying and Constructing the Meta-level with SPARQL-Star -- 5 Discussion -- 6 Conclusion and Future Work -- References -- Multi-aspect Sentiment Analysis Using Domain Ontologies -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Pre-processing -- 3.2 Sarcasm Detection -- 3.3 Target Opinion Extraction -- 3.4 Classification -- 4 Experiments and Results -- 4.1 Dataset Used -- 4.2 Review Level SA Results -- 4.3 Aspect Level SA results -- 5 Conclusions and Future Work -- References -- Popularity Driven Data Integration -- 1 Introduction -- 2 The Process -- 3 Enhancing Data Reuse -- 4 Enhancing Data Sharability -- 5 Case Studies -- 6 Conclusions -- References -- Methodology for Creating a Community Corpus Using a Wikibase Knowledge Graph -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 ; Domain Knowledge Modeling -- 3.2 Wikibase Setup -- 3.3 Upload Document Process -- 3.4 Implement Search Function -- 4 Conclusion and Perspectives -- References -- Understanding Patient Activity Patterns in Smart Homes with Process Mining -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Case Study -- 5 Conclusion and Discussions -- References -- String Matching Based Framework for Online Hindi Question Answering System -- 1 Introduction.; 2 Question Answering System Based on Pattern Matching.

Metal-Based Composite Nanomaterials / / by Jun Yang, Hui Liu

• Record Nr.: UNINA9910298620603321
• Autore: Yang Jun
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
• ISBN: 3-319-12220-7
• Edizione: [1st ed. 2015.]
• Descrizione fisica: 1 online resource (263 p.)
• Disciplina: 548; 620.11; 620115; 658.26
• Soggetti: Nanotechnology; Crystallography; Energy consumption; Crystallography and Scattering Methods; Energy Efficiency
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references at the end of each chapters.
• Nota di contenuto: Introduction -- A General Phase Transfer Approach for Metal Ions and Nanoparticles -- Nanocomposites of Gold and Semiconductors -- Nanocomposites Consisting of Silver Sulfide and Noble Metals -- Cadmium Selenide-Platinum Nanocomposites with A Core-Shell Construction -- Nanocomposites of Silver Sulfide and Noble Metals with Controlled Nanostructures -- Nanocomposites of Metal Oxides and Noble Metals -- Nanocomposite-Related Scientific Issues ; Conclusion and Perspectives.
• Sommario/riassunto: This book introduces the latest research developments in composite nanomaterials and summarizes the fundamentals and technical approaches in synthesis, fabrication and processing of composite nanomaterials. The author describes the intrinsic relationship between the catalytic properties and the physical and chemical effects in the composite materials, providing for theoretical and technical bases for effectively developing novel electrocatalyts - applications of the nanocomposites in energy conversion areas.