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Applied Machine Learning and Data Analytics [[electronic resource] ] : 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers / / edited by M. A. Jabbar, Fernando Ortiz-Rodríguez, Sanju Tiwari, Patrick Siarry
Applied Machine Learning and Data Analytics [[electronic resource] ] : 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers / / edited by M. A. Jabbar, Fernando Ortiz-Rodríguez, Sanju Tiwari, Patrick Siarry
Autore Jabbar M. A
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (252 pages)
Disciplina 006.31
Altri autori (Persone) Ortiz-RodríguezFernando
TiwariSanju
SiarryPatrick
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Application software
Image processing—Digital techniques
Computer vision
Database management
Artificial Intelligence
Computer and Information Systems Applications
Computer Imaging, Vision, Pattern Recognition and Graphics
Database Management
Soggetto non controllato Science
ISBN 3-031-34222-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Deep Learning Methods to Automate Embryo Classification and Evaluation -- Univariate feature fitness measures for classification problems: An empirical assessment -- Securing Advanced Metering Infrastructure using Blockchain for Effective Energy Trading -- Keratoconus Classification using Feature Selection and Machine Learning Approach -- Semantic Segmentation of The Lung to Examine the Effect of COVID-19 using UNET Model -- SMDKGG: A Socially Aware Meta Data Driven Knowledge Graph Generation for Disaster Tweets -- Brain MRI Image Classification using Deep Learning -- A Real Time Face Recognition Attendance using Machine Learning -- Towards abalone differentiation through machine learning -- Better Qualitative Searching for Effecting the Performance of Machine Translation -- RU-Net: A Novel Approach for Gastro-Intestinal Tract Image Segmentation using Convolutional Neural Network -- A credit card fraud detection model using machine learning methods with a hybrid of undersampling and oversampling for handling imbalanced datasets for high scores -- Implementation of YOLOv7 Model for Pest Detection -- Online Grocery Shopping: - Key Factors to Understand Shopping Behavior from Data Analytics Perspective -- A novel approach: Semantic web enabled subject searching for Union Catalogue -- How People in South America is Facing Monkeypox Outbreak? -- Multi-level Classification of Satellite Images using Pre-trained AlexNet Architecture -- Handwriting Recognition for Predicting Gender and Handedness using Deep Learning -- Handwriting Recognition for Predicting Gender and Handedness using Deep Learning -- Performance evaluation of Smart Flower Optimization Algorithm over Industrial Non-Convex Constrained Optimization Problems.
Record Nr. UNISA-996546829903316
Jabbar M. A  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Applied Machine Learning and Data Analytics : 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers / / edited by M. A. Jabbar, Fernando Ortiz-Rodríguez, Sanju Tiwari, Patrick Siarry
Applied Machine Learning and Data Analytics : 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers / / edited by M. A. Jabbar, Fernando Ortiz-Rodríguez, Sanju Tiwari, Patrick Siarry
Autore Jabbar M. A
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (252 pages)
Disciplina 006.31
Altri autori (Persone) Ortiz-RodríguezFernando
TiwariSanju
SiarryPatrick
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Application software
Image processing - Digital techniques
Computer vision
Database management
Artificial Intelligence
Computer and Information Systems Applications
Computer Imaging, Vision, Pattern Recognition and Graphics
Database Management
Aprenentatge automàtic
Mineria de dades
Dades massives
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 9783031342226
3031342224
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Deep Learning Methods to Automate Embryo Classification and Evaluation -- Univariate feature fitness measures for classification problems: An empirical assessment -- Securing Advanced Metering Infrastructure using Blockchain for Effective Energy Trading -- Keratoconus Classification using Feature Selection and Machine Learning Approach -- Semantic Segmentation of The Lung to Examine the Effect of COVID-19 using UNET Model -- SMDKGG: A Socially Aware Meta Data Driven Knowledge Graph Generation for Disaster Tweets -- Brain MRI Image Classification using Deep Learning -- A Real Time Face Recognition Attendance using Machine Learning -- Towards abalone differentiation through machine learning -- Better Qualitative Searching for Effecting the Performance of Machine Translation -- RU-Net: A Novel Approach for Gastro-Intestinal Tract Image Segmentation using Convolutional Neural Network -- A credit card fraud detection model using machine learning methods with a hybrid of undersampling and oversampling for handling imbalanced datasets for high scores -- Implementation of YOLOv7 Model for Pest Detection -- Online Grocery Shopping: - Key Factors to Understand Shopping Behavior from Data Analytics Perspective -- A novel approach: Semantic web enabled subject searching for Union Catalogue -- How People in South America is Facing Monkeypox Outbreak? -- Multi-level Classification of Satellite Images using Pre-trained AlexNet Architecture -- Handwriting Recognition for Predicting Gender and Handedness using Deep Learning -- Handwriting Recognition for Predicting Gender and Handedness using Deep Learning -- Performance evaluation of Smart Flower Optimization Algorithm over Industrial Non-Convex Constrained Optimization Problems.
Record Nr. UNINA-9910728389403321
Jabbar M. A  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence : First International Conference, AI4S 2023, Pune, India, September 4-5, 2023, Proceedings
Artificial Intelligence : First International Conference, AI4S 2023, Pune, India, September 4-5, 2023, Proceedings
Autore Tiwari Sanju
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2023
Descrizione fisica 1 online resource (234 pages)
Altri autori (Persone) Ortiz-RodríguezFernando
MishraSashikala
VakajEdlira
KotechaKetan
Collana Communications in Computer and Information Science Series
ISBN 3-031-47997-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Keynote Abstracts -- Data Analytics for Sustainable Global Supply Chains -- Building Trustworthy Neuro-Symbolic AI Systems with Explainability and Safety: Knowledge is the Key -- Contents -- An Approach Towards Mitigation of Renewable Energy Curtailment -- 1 Introduction -- 2 Test Case Modifications and Assumptions -- 2.1 Test Case and Modifications -- 2.2 Assumptions -- 3 Solution Methodologies and Cases -- 3.1 Solution Methodology -- 3.2 Configuration of Cases -- 4 Results and Discussion -- 4.1 Results -- 4.2 Discussion -- 5 Conclusion and Future Scope -- References -- ESG and IoT: Ensuring Sustainability and Social Responsibility in the Digital Age -- 1 Introduction -- 2 Overview of ESG and Sustainability -- 2.1 Environmental, Social and Governance Impacts of IoT -- 2.2 The Contribution of Artificial Intelligence to ESG -- 2.3 Industry 4.0 and Its Potential Impact on ESG -- 3 Proposed Approach -- 3.1 Proposed Architecture -- 3.2 SAS® Intelligent Monitoring: Product Overview -- 4 Possible Applications -- 5 Future Work -- 6 Conclusion -- References -- AI and Assistive Technologies for Persons with Disabilities - Worldwide Trends in the Scientific Production Using Bibliometrix R Tool -- 1 Introduction -- 1.1 Background -- 1.2 Problem Statement -- 2 Methodology -- 2.1 Data Collection -- 2.2 Analysis -- 3 Results and Discussion -- 3.1 Production -- 3.2 Sources -- 3.3 Authors -- 3.4 Documents -- 4 Conclusion -- 4.1 Limitations and Future Research Directions -- Appendix A: -- References -- Leaf Disease Detection Using Transfer Learning -- 1 Introduction -- 2 Related Work -- 3 Model Architecture and Design -- 3.1 ResNet -- 3.2 MobileNet -- 3.3 VGG16 -- 3.4 Design Consideration -- 4 Dataset Preparation and Training -- 4.1 Kaggle Dataset: Potato, Tomato, and Pepper Black Diseases -- 4.2 Training the Models.
5 Results -- 5.1 VGG16 Model -- 5.2 ResNet Model -- 5.3 MobileNet Model -- 5.4 Performance Comparison -- 6 Conclusion -- References -- Automated Scene Recognition for Environmental Monitoring: A Cluster Analysis Approach using Intel Image Classification Dataset -- 1 Introduction -- 2 Literature Review -- 3 Data Preprocessing and EDA -- 3.1 About the Dataset -- 3.2 Data Transformation -- 3.3 Dimensionality Reduction with PCA for Improved Clustering Efficiency -- 4 Clustering Methods for Scene Recognition -- 4.1 K Means Clustering Technique -- 4.2 Agglomerative Clustering -- 4.3 BIRCH (Balanced Iterative Reducing and Clustering Using Hierarchies) -- 4.4 DBSCAN (Density Based Spatial Clustering of Applications with  Noise) -- 4.5 Spectral -- 5 Evaluation of Clustering Algorithms -- 5.1 Silhouette Score -- 5.2 Davis-Bouldin Score -- 5.3 Calinski-Harabasz Score -- 6 Conclusion and Future Scope -- References -- Unveiling the Potentials of Deep Learning Techniques for Accurate Alzheimer's Disease Neuro Image Classification -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 The Proposed Bi-LSTM-AJSO Model Development -- 5 Experimentation -- 5.1 Datasets Used and Model Training and Testing -- 5.2 Comparison with Other Machine and Deep Learning Approaches -- 5.3 Execution Time Comparisons -- 5.4 Interpretability Analysis and Significance -- 6 Conclusion and Future Directions -- References -- Food Composition Knowledge Extraction from Scientific Literature -- 1 Introduction -- 2 Food Composition Knowledge -- 3 Food Composition Knowledge Extraction from Scientific Papers -- 3.1 Knowledge Sources -- 3.2 Knowledge Extraction -- 4 Knowledge Validation -- 4.1 Matching to Existing Vocabularies -- 5 Conclusion -- References -- Design and Analysis of an Algorithm Based on Biometric Block Chain for Efficient data sharing in VANET -- 1 Introduction.
2 Literature Review -- 3 Proposed Work -- 4 Experimental Result -- 5 Conclusion -- References -- An Improved Deep Learning Model Implementation for Pest Species Detection -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset -- 3.2 Deep Learning -- 3.3 Data Augmentation -- 3.4 Model Architecture -- 3.5 Classification -- 4 Results -- 5 Conclusion -- References -- Identification of Diseases Affecting Mango Leaves Using Deep Learning Models -- 1 Introduction -- 2 Literature Survey -- 2.1 Disease Affecting Mango Leaves -- 2.2 Factor Influencing Fungal Diseases -- 3 Dataset Description -- 4 Methodology -- 4.1 Feature Extraction -- 4.2 Classification -- 4.3 Model Evaluation -- 4.4 Prediction -- 5 Results and Discussion -- 6 Conclusion -- References -- RWNR: Radial Basis Feed Forward Neural Network Driven Semantically Inclined Strategy for Web 3.0 Compliant News Recommendation -- 1 Introduction -- 2 Related Works -- 3 Proposed Architecture -- 4 Implementation -- 5 Results and Performance Evaluation -- 6 Conclusion -- References -- WDNRegClass - A Hybrid ANN + Bayesian Learning Model to Reduce Temporal Predictive In-Variance Towards Mitigation of WDN Revenue Losses -- 1 Introduction -- 2 Literature Study -- 2.1 Leak Identification Using Hydraulic Model Parameters: -- 2.2 Data-Driven Approaches with Sequential or Temporal Data: -- 2.3 The Integration of Bayesian Belief Propagation: -- 3 Proposed Work -- 4 Result and Discussion -- 5 Conclusion -- References -- Real-Time Birds Shadow Detection for Autonomous UAVs -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Acquiring a Sample Dataset -- 3.2 Shadow Generation -- 3.3 Data Cleaning -- 3.4 Post-processing -- 3.5 Detection Model Training -- 4 Results and Discussion -- 5 Conclusion -- References.
Knowledge Graph for Fraud Detection: Case of Fraudulent Transactions Detection in Kenyan SACCOs -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 4 Results -- 4.1 Sample Fraudulent Funds Movement Detection -- 5 Conclusion and Future Work -- References -- Conceptual Framework for Representing Knowledge in the Energy Sector -- 1 Introduction -- 2 State of the Art -- 3 Methodology for Semantic Data Model Design and Construction -- 3.1 Step 1: Ontology Requirements Specification -- 3.2 Step 2: Ontology Analysis -- 3.3 Step 3: Overview of Ontological Modules -- 3.4 Step 4: Interaction with Stakeholders and Ontology Formalization -- 4 Overview of Main Pilots' Topics -- 5 Methodology Application -- 5.1 Application of Step 1 - Ontology Requirements Specification -- 5.2 Application of Step 2 - Ontology Analysis -- 5.3 Application of Step 3 - Overview of Ontological Model -- 5.4 Application of Step 4 - Formalization of Semantic Data Models -- 5.5 Use Case Instantiation with an Illustrative Example -- 6 Discussion -- 7 Conclusion -- References -- Semantic Carbon Footprint of Food Supply Chain Management -- 1 Introduction -- 2 Ontology Methodology -- 2.1 Ontology Requirements Specification -- 2.2 Competency Questions -- 2.3 Users -- 2.4 Intended Use -- 3 Ontology Design -- 3.1 Data Sources -- 3.2 Evaluation -- 4 Conclusion -- References -- Author Index.
Record Nr. UNISA-996565862603316
Tiwari Sanju  
Cham : , : Springer International Publishing AG, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Business Intelligence, Computational Mathematics, and Data Analytics : First International Conference, IBCD 2024, Indore, India, August 18–19, 2024, Proceedings / / edited by V. B. Gupta, Shishir Kumar Shandilya, Fernando Ortiz-Rodríguez, Jose L. Martinez-Rodriguez
Business Intelligence, Computational Mathematics, and Data Analytics : First International Conference, IBCD 2024, Indore, India, August 18–19, 2024, Proceedings / / edited by V. B. Gupta, Shishir Kumar Shandilya, Fernando Ortiz-Rodríguez, Jose L. Martinez-Rodriguez
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (XII, 241 p. 89 illus., 73 illus. in color.)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Artificial intelligence - Data processing
Business - Data processing
Artificial Intelligence
Data Science
Business Informatics
Business Analytics
ISBN 3-031-87511-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Marketing Curriculum Evolution: Developing a Data-driven decision making mindset. -- Facial Expression Tracking and Analysis in Video through Motion with SqueezeNet and SGD. -- AI and Machine Learning: Revolutionizing the Fight Against Online Child Sexual Abuse Material (CSAM). -- Modelling and Evaluation of Land Use Land Cover Changes through Satellite Imagery Data for Ujjain District of Malwa Plateau Region Using Maximum Likelihood Classification and Support Vector Machine. -- Computational approaches to calculate stresses on polycarbonate specimen of rectangular shape and compare with trapezoidal specimen with experimental validation. -- Balancing Privacy and Utility in E-Healthcare Data Analysis: A Comprehensive Review. -- Deep Learning Methods for Network Intrusion Detection Systems. -- Investigating the Dissemination of Deepfake Conversations on Social Media via Tweeting. -- Data Analytics for Fake Content Detection on Web. -- To Study The Impact of Data-Driven Personalized Digital Marketing Campaigns on The Online Sales of Mid-Size Food-Tech Aggregator. -- Sentiment Analysis on Election Data Using Machine Learning and Ensemble Algorithms: An Ample Study. -- The Impact of Migration on Brand Consumption in India: A Qualitative Study. -- A Evaluating Noise Robustness in Machine Learning Classifiers: A Comparative Study. -- Optimization Accuracy of Intrusion Detection System based on Multilayered Neural Network. -- Leveraging Long-Context Large Language Models for Multi-Document Understanding and Summarization in Enterprise Applications. -- Transformations In Finance And Accounting_Navigating Through Technological And Regulatory Shifts.
Record Nr. UNINA-9911001471803321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Knowledge Graphs and Semantic Web : 6th International Conference, KGSWC 2024, Paris, France, December 11–13, 2024, Proceedings / / edited by Sanju Tiwari, Boris Villazón-Terrazas, Fernando Ortiz-Rodríguez, Soror Sahri
Knowledge Graphs and Semantic Web : 6th International Conference, KGSWC 2024, Paris, France, December 11–13, 2024, Proceedings / / edited by Sanju Tiwari, Boris Villazón-Terrazas, Fernando Ortiz-Rodríguez, Soror Sahri
Autore Tiwari Sanju
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (488 pages)
Disciplina 006.3
Altri autori (Persone) Villazón-TerrazasBoris
Ortiz-RodríguezFernando
SahriSoror
Collana Lecture Notes in Computer 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 9783031812217
3031812212
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- ConfermentSampo - A Knowledge Graph, Data Service, and Semantic Portal for Intangible Academic Cultural Heritage 1643-2023 in Finland. -- Towards Complex Ontology Alignment using Large Language Models. -- Enhancing Knowledge Graph Construction: Evaluating with Emphasis on Hallucination, Omission, and Graph Similarity Metrics. -- Views, Semantic Data Catalog and Role-Based Access Control for Ontologies and Knowledge Graphs. -- Accelerating Medical Knowledge Discovery through Automated Knowledge Graph Generation and Enrichment. -- OntoSeer - A Recommendation System to Improve the Quality of Ontologies. -- Adaptive Planning on the Web: Using LLMs and Affordances for Web Agents. -- Enriching RDF Data with LLM based Named Entity Recognition and Linking on Embedded Natural Language Annotations. -- TEDME_KG Metrics Framework: A Metrics Framework for TEmporal Data Modelling Evaluation in Knowledge Graphs. -- SFARDE: A Knowledge-Centric Semantic Strategic Framework for Heritage Artifact Recommendation Integrating Generative AI and Differential Enrichment of Ontologies. -- Leveraging Graph Models for Comprehensive Visual Analytics of Equine Heritage. -- OWL2Vec4OA: Tailoring Knowledge Graph Embeddings for Ontology Alignment. -- Design of an Ontology-Driven Constraint Tester (ODCT) and Application to SAREF & Smart Energy Appliances. -- YOKO ONtO: You only KNIT one ontology. -- CoKGLM: Detecting Hallucinations Generated by Large Language Models via Knowledge Graph Verification. -- AutOnto: Towards A Semi-Automated Ontology Engineering Methodology. -- Enhancing Question Answering Systems with Generative AI: A Study of LLM Performance and Error Analysis. -- Disjointness Violations in Wikidata. -- Enhancing WebProtégé with Version Control Systems. -- Visual Presentation and Summarization of Linked Data Schemas. -- A Proposed Ontology Evaluation Tool to Assist Ontology Engineers in Selecting Ontologies During the Reuse Phase. -- Formalizing Manufacturing Commonsense Knowledge (MCSK) Patterns. -- Construction and Canonicalization of Economic Knowledge Graphs with LLMs.
Record Nr. UNINA-9910983495603321
Tiwari Sanju  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Knowledge Graphs and Semantic Web : 6th International Conference, KGSWC 2024, Paris, France, December 11–13, 2024, Proceedings / / edited by Sanju Tiwari, Boris Villazón-Terrazas, Fernando Ortiz-Rodríguez, Soror Sahri
Knowledge Graphs and Semantic Web : 6th International Conference, KGSWC 2024, Paris, France, December 11–13, 2024, Proceedings / / edited by Sanju Tiwari, Boris Villazón-Terrazas, Fernando Ortiz-Rodríguez, Soror Sahri
Autore Tiwari Sanju
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (488 pages)
Disciplina 006.3
Altri autori (Persone) Villazón-TerrazasBoris
Ortiz-RodríguezFernando
SahriSoror
Collana Lecture Notes in Computer 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 9783031812217
3031812212
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- ConfermentSampo - A Knowledge Graph, Data Service, and Semantic Portal for Intangible Academic Cultural Heritage 1643-2023 in Finland. -- Towards Complex Ontology Alignment using Large Language Models. -- Enhancing Knowledge Graph Construction: Evaluating with Emphasis on Hallucination, Omission, and Graph Similarity Metrics. -- Views, Semantic Data Catalog and Role-Based Access Control for Ontologies and Knowledge Graphs. -- Accelerating Medical Knowledge Discovery through Automated Knowledge Graph Generation and Enrichment. -- OntoSeer - A Recommendation System to Improve the Quality of Ontologies. -- Adaptive Planning on the Web: Using LLMs and Affordances for Web Agents. -- Enriching RDF Data with LLM based Named Entity Recognition and Linking on Embedded Natural Language Annotations. -- TEDME_KG Metrics Framework: A Metrics Framework for TEmporal Data Modelling Evaluation in Knowledge Graphs. -- SFARDE: A Knowledge-Centric Semantic Strategic Framework for Heritage Artifact Recommendation Integrating Generative AI and Differential Enrichment of Ontologies. -- Leveraging Graph Models for Comprehensive Visual Analytics of Equine Heritage. -- OWL2Vec4OA: Tailoring Knowledge Graph Embeddings for Ontology Alignment. -- Design of an Ontology-Driven Constraint Tester (ODCT) and Application to SAREF & Smart Energy Appliances. -- YOKO ONtO: You only KNIT one ontology. -- CoKGLM: Detecting Hallucinations Generated by Large Language Models via Knowledge Graph Verification. -- AutOnto: Towards A Semi-Automated Ontology Engineering Methodology. -- Enhancing Question Answering Systems with Generative AI: A Study of LLM Performance and Error Analysis. -- Disjointness Violations in Wikidata. -- Enhancing WebProtégé with Version Control Systems. -- Visual Presentation and Summarization of Linked Data Schemas. -- A Proposed Ontology Evaluation Tool to Assist Ontology Engineers in Selecting Ontologies During the Reuse Phase. -- Formalizing Manufacturing Commonsense Knowledge (MCSK) Patterns. -- Construction and Canonicalization of Economic Knowledge Graphs with LLMs.
Record Nr. UNISA-996647865903316
Tiwari Sanju  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui