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Knowledge graphs and semantic web : third Iberoamerican conference and second Indo-American conference, KGSWC 2021, Kingsville, Texas, USA, November 22-24, 2021, proceedings / / Boris Villazón-Terrazas [and four others], editors
| Knowledge graphs and semantic web : third Iberoamerican conference and second Indo-American conference, KGSWC 2021, Kingsville, Texas, USA, November 22-24, 2021, proceedings / / Boris Villazón-Terrazas [and four others], editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (351 pages) |
| Disciplina | 006 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Semantic computing
Semantic Web |
| ISBN | 3-030-91305-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464512503316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
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]
| 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] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (355 pages) |
| Disciplina | 636.005 |
| Collana | Communications in Computer and Information Science Ser. |
| Soggetto topico | Semantic Web |
| ISBN | 3-031-21422-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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 & -- 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. |
| Record Nr. | UNISA-996499856503316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Knowledge Graphs and Semantic Web : 4th Iberoamerican Conference and third Indo-American Conference, KGSWC 2022, Madrid, Spain, November 21–23, 2022, Proceedings / / edited by Boris Villazón-Terrazas, Fernando Ortiz-Rodriguez, Sanju Tiwari, Miguel-Angel Sicilia, David Martín-Moncunill
| Knowledge Graphs and Semantic Web : 4th Iberoamerican Conference and third Indo-American Conference, KGSWC 2022, Madrid, Spain, November 21–23, 2022, Proceedings / / edited by Boris Villazón-Terrazas, Fernando Ortiz-Rodriguez, Sanju Tiwari, Miguel-Angel Sicilia, David Martín-Moncunill |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (355 pages) |
| Disciplina |
636.005
006 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Database management Mathematics - Data processing Data structures (Computer science) Information theory Information technology - Management Artificial Intelligence Database Management System Computational Mathematics and Numerical Analysis Data Structures and Information Theory Computer Application in Administrative Data Processing |
| ISBN | 3-031-21422-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | DBkWik++ - Multi Source Matching of Knowledge Graphs -- A Survey on Knowledge Graph-based Methods for Automated Driving -- Physicians’ Brain Digital Twin: Holistic Clinical & Biomedical Knowledge Graphs for Patient Safety and Value-Based Care to Prevent The Post-pandemic Healthcare Ecosystem Crisis -- Combining Ontology and Natural Language Processing methods for Prevention of Falls from Height -- Learning to Automatically Generating Genre-Specific Song Lyrics: A Comparative Study -- DLIME-Graphs: A DLIME Extension based on Triple Embedding for Graphs -- Edge-labelled graphs and property graphs - to the user, more similar than different -- Knowledge Graph supported machine parameterization for the injection moulding industry -- IPR: Integrative Policy Recommendation Framework based on Hybrid Semantics -- Convolutional Neural Networks applied to emotion analysis in texts: Experimentation from the Mexican context -- Proficient Annotation Recommendation in a Biomedical Content Authoring Environment -- DKMI: Diversification of Web Image Search using Knowledge Centric Machine Intelligence -- Does Wikidata Support Analogical Reasoning? -- Flexible Queries over Knowledge Graphs -- Knowledge Graphs for Community Detection in Textual Data -- Framework for Author Name Disambiguation in Scientific Papers Using an Ontological Approach and Deep Learning -- On contrasting and completing YAGO with GPT language models: an experiment for person-related attributes -- Easy and complex: new perspectives for metadata modeling using RDF-star and Named Graphs -- Multi-Aspect Sentiment Analysis using Domain Ontologies -- Popularity Driven Data Integration -- Methodology for Creating a Community Corpus using a Wikibase Knowledge Graph -- Understanding Human Activity Patterns in Smart Homes with Process Mining -- String Matching based Framework for Online Hindi Question Answering System -- Towards an ontological approach to business continuity assessment -- From Ontology to Knowledge Graph Trend: Ontology As Foundation Layer For Knowledge Graph. |
| Record Nr. | UNINA-9910629287203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge Graphs and Semantic Web : Third Iberoamerican Conference and Second Indo-American Conference, KGSWC 2021, Kingsville, Texas, USA, November 22–24, 2021, Proceedings / / edited by Boris Villazón-Terrazas, Fernando Ortiz-Rodríguez, Sanju Tiwari, Ayush Goyal, MA Jabbar
| Knowledge Graphs and Semantic Web : Third Iberoamerican Conference and Second Indo-American Conference, KGSWC 2021, Kingsville, Texas, USA, November 22–24, 2021, Proceedings / / edited by Boris Villazón-Terrazas, Fernando Ortiz-Rodríguez, Sanju Tiwari, Ayush Goyal, MA Jabbar |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (351 pages) |
| Disciplina | 006 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Application software Computer science Software engineering Image processing - Digital techniques Computer vision Artificial Intelligence Computer Engineering and Networks Computer and Information Systems Applications Theory of Computation Software Engineering Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-030-91305-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | InDO: The Institute Demographic Ontology -- Bridging Upper Ontology and Modular Ontology Modeling: A Tool and Evaluation -- Empirical Evaluation of a Cloud-based Graph Database: The case of Neptune -- Towards Knowledge Graphs Validation through Weighted Knowledge Sources -- Design and Analysis of NICS based Web Attack Detection for Advanced Intrusion Detection System -- A System for Traffic Events Detection using Fuzzy C-Means -- Multilingual Short Text Analysis of Twitter using Random Forest Approach -- Quality Assessment of Library Linked Data: A Case Study -- An Enhanced Meta-Model to Generate Web Forms for Ontology Population -- An Ontology-based Source Selection for Federated Query Processing: A Case Study -- OntoKnowNHS: Ontology driven Knowledge centric Novel Hybridised Semantic Scheme for Image Recommendation using Knowledge Graph -- The Covid-19 CODO Development Process: An Agile Approach to Knowledge Graph Development -- Selecting Ontologies for Reuse: Case of constructing Hotel Room Ontology -- Fabula: Hybridised Weightage based Book Recommendation System -- An Enhanced Personal Profile Ontology for Software Requirements Engineering Tasks Allocation -- Leveraging Enterprise Knowledge Graphs for Efficient Bridging Between Business Data with Large-scale Web Data -- Metadata Driven Semantically Aware Medical Query Expansion -- Property Assertion Constraints for an Informed, Error-Preventing Expansion of Knowledge Graphs -- Fake News Detection using Deep Learning -- Efficient Visual Sentiment Prediction approaches using deep learning models -- Uniform Textual Feedback Analysis for Effective Sentiment Analysis -- Towards Development of Knowledge Graph for Narrative Information in Medicine -- Automatic Text Summarization using Transformers -- Soft Computational Techniques to discover unique and precise knowledge from Big Data. |
| Record Nr. | UNINA-9910510538903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||