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[null,null,"Titolo",null,"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]"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2022]"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"3-031-21422-6"]
[null,null,"Descrizione fisica",null,"1 online resource (355 pages)"]
[null,null,"Collana",null,"Communications in Computer and Information Science Ser. ; ; v.1686"]
[null,null,"Disciplina",null,"636.005"]
[null,null,"Soggetti",null,"Semantic Web"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"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 "]
[{"$nulls":4},"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."]
[{"$nulls":4},"3.3 Step 3: Populate the Ontology -- 3.4 Step 4: Query the Ontology -- 4 Experimentation and Validation -- 4.1 Fall from Height Use Case -- 4.2 Results of Our Approach and Discussion -- 5 Conclusion and Perspectives -- References -- Learning to Automatically Generating Genre-Specific Song Lyrics: A Comparative Study -- 1 Introduction -- 2 Problem Statement -- 3 Literature Review -- 3.1 Generating Non-genre-specific Lyrics -- 3.2 Generating Lyrics for a Specific Genre -- 3.3 Generating Lyrics for Multiple Genres -- 4 Methodology -- 4.1 Dataset Description -- 4.2 Data Pre-processing -- 4.3 Data Analysis -- 4.4 Markov Chains -- 4.5 Long Short-Term Memory (LSTM) -- 4.6 Gated Recurrent Units (GRU) -- 5 Evaluation Criteria -- 5.1 Model Performance -- 5.2 Average Readability -- 5.3 Rhyme Density Score -- 5.4 Sample Output of Generated Song Lyrics -- 6 Discussion -- 6.1 Models -- 6.2 Limitations -- 7 Conclusion and Future Work -- References -- DLIME-Graphs: A DLIME Extension Based on Triple Embedding for Graphs -- 1 Introduction -- 2 Related Work -- 2.1 Triple Embeddings -- 3 Interpretable Method: DLIME-Graphs -- 3.1 Triple Embeddings Using SBERT -- 3.2 Dimension Reduction Using UMAP Technique -- 3.3 Clustering Using HDBSCAN -- 3.4 Interpretable Models -- 3.5 Logistic Regression Model -- 3.6 Decision Tree Model -- 3.7 Similar Triples Selection Using KNN -- 4 Study Case -- 4.1 Triple Prediction with KG-BERT -- 4.2 DLIME-Graphs Application -- 5 Conclusions and Future Work -- References -- Edge-Labelled Graphs and Property Graphs - To the User, More Similar Than Different -- 1 Introduction -- 2 Related Work -- 3 Overview of the Study -- 4 Nodes, Literals and Reverse Predicates -- 5 Class Hierarchies -- 6 Metadata About Predicates -- 7 Metadata About Node Metadata -- 8 Metadata About Predicate Metadata -- 9 Conclusions and Future Directions -- References."]
[{"$nulls":4},"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 "]
[{"$nulls":4},"Methodology -- 2.1 Base Level Annotation -- 2.2 The Socio-Technical Approach -- 2.3 Semantically Recommendation Features (SR-FS) -- 3 Experiments -- 3.1 Datasets -- 3.2 Results and Analysis -- 4 Conclusion -- References -- DKMI: Diversification of Web Image Search Using Knowledge Centric Machine Intelligence."]
[{"$nulls":4},"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."]
[{"$nulls":4},"3.2 Generation of Questions and Factual Sentences -- 3.3 Probing Procedure -- 3.4 Contrasting the Outputs Generated -- 4 Results and Discussion -- 4.1 Experiment Results -- 4.2 Discussion and Observations -- 5 Conclusions and Outlook -- References -- Easy and Complex: New Perspectives for Metadata Modeling Using RDF-Star and Named Graphs -- 1 Introduction -- 2 Related Work -- 3 Meta Modeling Patterns -- 3.1 Pattern 1: RDF Provenance Modeling in the Meta-level -- 3.2 Pattern 2: Extending an Existing Data Model -- 3.3 Pattern 3: Shifting Complex Relations to the Meta-level -- 4 Querying and Constructing the Meta-level with SPARQL-Star -- 5 Discussion -- 6 Conclusion and Future Work -- References -- Multi-aspect Sentiment Analysis Using Domain Ontologies -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Pre-processing -- 3.2 Sarcasm Detection -- 3.3 Target Opinion Extraction -- 3.4 Classification -- 4 Experiments and Results -- 4.1 Dataset Used -- 4.2 Review Level SA Results -- 4.3 Aspect Level SA results -- 5 Conclusions and Future Work -- References -- Popularity Driven Data Integration -- 1 Introduction -- 2 The Process -- 3 Enhancing Data Reuse -- 4 Enhancing Data Sharability -- 5 Case Studies -- 6 Conclusions -- References -- Methodology for Creating a Community Corpus Using a Wikibase Knowledge Graph -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Domain Knowledge Modeling -- 3.2 Wikibase Setup -- 3.3 Upload Document Process -- 3.4 Implement Search Function -- 4 Conclusion and Perspectives -- References -- Understanding Patient Activity "]
[{"$nulls":4},"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."]
[{"$nulls":4},"2 Question Answering System Based on Pattern Matching."]