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1st Middleware Doctoral Symposium
1st Middleware Doctoral Symposium
Autore Kon Fabio
Pubbl/distr/stampa [Place of publication not identified], : ACM, 2004
Descrizione fisica 1 online resource (43 pages)
Collana ACM Other conferences
Soggetto topico Engineering & Applied Sciences
Computer Science
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Proceedings of the 1st International Doctoral Symposium on Middleware
DSM '04 proceedings of the 1st International Doctoral Symposium on Middleware
Record Nr. UNINA-9910375915103321
Kon Fabio  
[Place of publication not identified], : ACM, 2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Data Spaces : Design, Deployment and Future Directions / / edited by Edward Curry, Simon Scerri, Tuomo Tuikka
Data Spaces : Design, Deployment and Future Directions / / edited by Edward Curry, Simon Scerri, Tuomo Tuikka
Autore Curry Edward
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (XX, 357 p. 77 illus., 59 illus. in color.)
Disciplina 005.74
Soggetto topico Database management
Quantitative research
Application software
Computer systems
Data protection
Database Management
Data Analysis and Big Data
Computer and Information Systems Applications
Computer System Implementation
Data and Information Security
Soggetto non controllato Data Platforms
Data Spaces
Data Sharing
Data Lifecycle
Platform Architectures
Data Life Cycle
Regulatory Compliance
ISBN 3-030-98636-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Data Spaces: Design, Deployment, and Future Directions -- Part I: Design -- An Organizational Maturity Model for Data Spaces: A Data Sharing Wheel Approach -- Data Platforms for Data Spaces -- Technological Perspective of Data Governance in Data Space Ecosystems -- Increasing Trust for Data Spaces with Federated Learning -- KRAKEN: A Secure, Trusted, Regulatory-Compliant, and Privacy-Preserving Data Sharing Platform -- Connecting Data Spaces and Data Marketplaces and the Progress Toward the European Single Digital Market with Open-Source Software -- AI-Based Hybrid Data Platforms -- Part II: Deployment -- A Digital Twin Platform for Industrie 4.0 -- A Framework for Big Data Sovereignty: The European Industrial Data Space (EIDS) -- Deploying a Scalable Big Data Platform to Enable a Food Safety Data Space -- Data Space Best Practices for Data Interoperability in FinTechs -- TIKD: A Trusted Integrated Knowledge Dataspace for Sensitive Data Sharing and Collaboration -- Toward an Energy Data Platform Design: Challenges and Perspectives from the SYNERGY Big Data Platform and AI Analytics Marketplace -- Part III: Future Directions -- Privacy-Preserving Techniques for Trustworthy Data Sharing: Opportunities and Challenges for Future Research -- Common European Data Spaces: Challenges and Opportunities.
Record Nr. UNISA-996490356503316
Curry Edward  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Data Spaces : Design, Deployment and Future Directions / / edited by Edward Curry, Simon Scerri, Tuomo Tuikka
Data Spaces : Design, Deployment and Future Directions / / edited by Edward Curry, Simon Scerri, Tuomo Tuikka
Autore Curry Edward
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (XX, 357 p. 77 illus., 59 illus. in color.)
Disciplina 005.74
Soggetto topico Database management
Quantitative research
Application software
Computer systems
Data protection
Database Management
Data Analysis and Big Data
Computer and Information Systems Applications
Computer System Implementation
Data and Information Security
Disseny de bases de dades
Intel·ligència artificial
Dades massives
Soggetto genere / forma Llibres electrònics
ISBN 9783030986360
3030986365
Classificazione COM018000COM021000COM032000COM053000MAT029000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Data Spaces: Design, Deployment, and Future Directions -- Part I: Design -- An Organizational Maturity Model for Data Spaces: A Data Sharing Wheel Approach -- Data Platforms for Data Spaces -- Technological Perspective of Data Governance in Data Space Ecosystems -- Increasing Trust for Data Spaces with Federated Learning -- KRAKEN: A Secure, Trusted, Regulatory-Compliant, and Privacy-Preserving Data Sharing Platform -- Connecting Data Spaces and Data Marketplaces and the Progress Toward the European Single Digital Market with Open-Source Software -- AI-Based Hybrid Data Platforms -- Part II: Deployment -- A Digital Twin Platform for Industrie 4.0 -- A Framework for Big Data Sovereignty: The European Industrial Data Space (EIDS) -- Deploying a Scalable Big Data Platform to Enable a Food Safety Data Space -- Data Space Best Practices for Data Interoperability in FinTechs -- TIKD: A Trusted Integrated Knowledge Dataspace for Sensitive Data Sharing and Collaboration -- Toward an Energy Data Platform Design: Challenges and Perspectives from the SYNERGY Big Data Platform and AI Analytics Marketplace -- Part III: Future Directions -- Privacy-Preserving Techniques for Trustworthy Data Sharing: Opportunities and Challenges for Future Research -- Common European Data Spaces: Challenges and Opportunities.
Record Nr. UNINA-9910592294803321
Curry Edward  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III / / edited by Ulf Brefeld, Edward Curry, Elizabeth Daly, Brian MacNamee, Alice Marascu, Fabio Pinelli, Michele Berlingerio, Neil Hurley
Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III / / edited by Ulf Brefeld, Edward Curry, Elizabeth Daly, Brian MacNamee, Alice Marascu, Fabio Pinelli, Michele Berlingerio, Neil Hurley
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXXI, 706 p. 332 illus., 194 illus. in color.)
Disciplina 006.31
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Data mining
Artificial intelligence
Computer organization
Application software
Computer security
Computer crimes
Data Mining and Knowledge Discovery
Artificial Intelligence
Computer Systems Organization and Communication Networks
Computer Appl. in Social and Behavioral Sciences
Systems and Data Security
Computer Crime
ISBN 3-030-10997-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto ADS Data Science Applications -- Neural Article Pair Modeling for Wikipedia Sub-article Matching -- LinNet: Probabilistic Lineup Evaluation Through Network Embedding -- Improving Emotion Detection with Sub-clip Boosting -- Machine Learning for Targeted Assimilation of Satellite Data -- From Empirical Analysis to Public Policy: Evaluating Housing Systems for Homeless Youth -- Discovering Groups of Signals in In-Vehicle Network Traces for Redundancy Detection and Functional Grouping -- ADS E-commerce -- SPEEDING up the Metabolism in E-commerce by Reinforcement Mechanism DESIGN -- Intent-aware Audience Targeting for Ride-hailing Service -- A Recurrent Neural Network Survival Model: Predicting Web User Return Time -- Implicit Linking of Food Entities in Social Media -- A Practical Deep Online Ranking System in E-commerce Recommendation -- ADS Engineering and Design -- ST-DenNetFus: A New Deep Learning Approach for Network Demand Prediction -- Automating Layout Synthesis with Constructive Preference Elicitation -- Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems -- Learning Cheap and Novel Flight Itineraries -- Towards Resource-Efficient Classifiers for Always-On Monitoring -- ADS Financial / Security -- Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series -- Using Reinforcement Learning to Conceal Honeypot Functionality -- Flexible Inference for Cyberbully Incident Detection -- Solving the \false positives" problem in fraud prediction - Automated Data Science at an Industrial Scale -- Learning Tensor-based Representations from Brain-Computer Interface Data for Cybersecurity -- ADS Health -- Can We Assess Mental Health through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation -- AMIE: Automatic Monitoring of Indoor Exercises -- Rough Set Theory as a Data Mining Technique: A Case Study in Epidemiology and Cancer Incidence Prediction -- Selecting Influenza Mitigation Strategies Using Bayesian Bandits -- Hypotensive Episode Prediction in ICUs via Observation Window Splitting -- Equipment Health Indicator Learning using Deep Reinforcement Learning -- ADS Sensing/Positioning -- PBE: Driver Behavior Assessment Beyond Trajectory Profiling -- Accurate WiFi-based Indoor Positioning with Continuous Location Sampling -- Human Activity Recognition with Convolutional Neural Networks -- Urban sensing for anomalous event detection -- Combining Bayesian Inference and Clustering for Transport Mode Detection from Sparse and Noisy Geolocation Data -- CentroidNet: A Deep Neural Network for Joint Object Localization and Counting -- Deep Modular Multimodal Fusion on Multiple Sensors for Volcano Activity Recognition -- Nectar Track -- Matrix Completion under Interval Uncertainty -- A two-step approach for the prediction of mood levels based on diary data -- Best Practices to Train Deep Models on Imbalanced Datasets - A Case Study on Animal Detection in Aerial Imagery -- Deep Query Ranking for Question Answering over Knowledge Bases -- Machine Learning Approaches to Hybrid Music Recommender Systems -- Demo Track -- IDEA: An Interactive Dialogue Translation Demo System Using Furhat Robots -- RAPID: Real-time Analytics Platform for Interactive Data Mining -- COBRASTS: A new approach to Semi-Supervised Clustering of Time Series -- pysubgroup: Easy-to-use Subgroup Discovery in Python -- An Advert Creation System for Next-Gen Publicity -- VHI : Valve Health Identification for the Maintenance of Subsea Industrial Equipment -- Tiler: Software for Human-Guided Data Exploration -- ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio -- ClaRe: Classification and Regression Tool for Multivariate Time Series -- Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning -- Monitoring Emergency First Responders' Activities via Gradient Boosting and Inertial Sensor Data -- Visualizing Multi-Document Semantics via Open Domain Information Extraction.
Record Nr. UNISA-996466464203316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III / / edited by Ulf Brefeld, Edward Curry, Elizabeth Daly, Brian MacNamee, Alice Marascu, Fabio Pinelli, Michele Berlingerio, Neil Hurley
Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III / / edited by Ulf Brefeld, Edward Curry, Elizabeth Daly, Brian MacNamee, Alice Marascu, Fabio Pinelli, Michele Berlingerio, Neil Hurley
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXXI, 706 p. 332 illus., 194 illus. in color.)
Disciplina 006.31
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Data mining
Artificial intelligence
Computer organization
Application software
Computer security
Computer crimes
Data Mining and Knowledge Discovery
Artificial Intelligence
Computer Systems Organization and Communication Networks
Computer Appl. in Social and Behavioral Sciences
Systems and Data Security
Computer Crime
ISBN 3-030-10997-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto ADS Data Science Applications -- Neural Article Pair Modeling for Wikipedia Sub-article Matching -- LinNet: Probabilistic Lineup Evaluation Through Network Embedding -- Improving Emotion Detection with Sub-clip Boosting -- Machine Learning for Targeted Assimilation of Satellite Data -- From Empirical Analysis to Public Policy: Evaluating Housing Systems for Homeless Youth -- Discovering Groups of Signals in In-Vehicle Network Traces for Redundancy Detection and Functional Grouping -- ADS E-commerce -- SPEEDING up the Metabolism in E-commerce by Reinforcement Mechanism DESIGN -- Intent-aware Audience Targeting for Ride-hailing Service -- A Recurrent Neural Network Survival Model: Predicting Web User Return Time -- Implicit Linking of Food Entities in Social Media -- A Practical Deep Online Ranking System in E-commerce Recommendation -- ADS Engineering and Design -- ST-DenNetFus: A New Deep Learning Approach for Network Demand Prediction -- Automating Layout Synthesis with Constructive Preference Elicitation -- Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems -- Learning Cheap and Novel Flight Itineraries -- Towards Resource-Efficient Classifiers for Always-On Monitoring -- ADS Financial / Security -- Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series -- Using Reinforcement Learning to Conceal Honeypot Functionality -- Flexible Inference for Cyberbully Incident Detection -- Solving the \false positives" problem in fraud prediction - Automated Data Science at an Industrial Scale -- Learning Tensor-based Representations from Brain-Computer Interface Data for Cybersecurity -- ADS Health -- Can We Assess Mental Health through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation -- AMIE: Automatic Monitoring of Indoor Exercises -- Rough Set Theory as a Data Mining Technique: A Case Study in Epidemiology and Cancer Incidence Prediction -- Selecting Influenza Mitigation Strategies Using Bayesian Bandits -- Hypotensive Episode Prediction in ICUs via Observation Window Splitting -- Equipment Health Indicator Learning using Deep Reinforcement Learning -- ADS Sensing/Positioning -- PBE: Driver Behavior Assessment Beyond Trajectory Profiling -- Accurate WiFi-based Indoor Positioning with Continuous Location Sampling -- Human Activity Recognition with Convolutional Neural Networks -- Urban sensing for anomalous event detection -- Combining Bayesian Inference and Clustering for Transport Mode Detection from Sparse and Noisy Geolocation Data -- CentroidNet: A Deep Neural Network for Joint Object Localization and Counting -- Deep Modular Multimodal Fusion on Multiple Sensors for Volcano Activity Recognition -- Nectar Track -- Matrix Completion under Interval Uncertainty -- A two-step approach for the prediction of mood levels based on diary data -- Best Practices to Train Deep Models on Imbalanced Datasets - A Case Study on Animal Detection in Aerial Imagery -- Deep Query Ranking for Question Answering over Knowledge Bases -- Machine Learning Approaches to Hybrid Music Recommender Systems -- Demo Track -- IDEA: An Interactive Dialogue Translation Demo System Using Furhat Robots -- RAPID: Real-time Analytics Platform for Interactive Data Mining -- COBRASTS: A new approach to Semi-Supervised Clustering of Time Series -- pysubgroup: Easy-to-use Subgroup Discovery in Python -- An Advert Creation System for Next-Gen Publicity -- VHI : Valve Health Identification for the Maintenance of Subsea Industrial Equipment -- Tiler: Software for Human-Guided Data Exploration -- ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio -- ClaRe: Classification and Regression Tool for Multivariate Time Series -- Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning -- Monitoring Emergency First Responders' Activities via Gradient Boosting and Inertial Sensor Data -- Visualizing Multi-Document Semantics via Open Domain Information Extraction.
Record Nr. UNINA-9910337582503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
New Horizons for a Data-Driven Economy [[electronic resource] ] : A Roadmap for Usage and Exploitation of Big Data in Europe / / edited by José María Cavanillas, Edward Curry, Wolfgang Wahlster
New Horizons for a Data-Driven Economy [[electronic resource] ] : A Roadmap for Usage and Exploitation of Big Data in Europe / / edited by José María Cavanillas, Edward Curry, Wolfgang Wahlster
Autore Cavanillas José María
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham, : Springer Nature, 2016
Descrizione fisica 1 online resource (XX, 303 pages) : 34 illustrations; digital file(s)
Disciplina 025.04
Soggetto topico Information storage and retrieval
Management
Industrial management
Application software
Computers and civilization
Information Storage and Retrieval
Innovation/Technology Management
Computer Applications
Computers and Society
Soggetto non controllato Information Storage and Retrieval
Innovation/Technology Management
Computer Applications
Computers and Society
Big data
ISBN 3-319-21569-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: The Big Data Opportunity -- The Big Data Value Opportunity -- Introduction to the BIG Project -- Part II: The Big Data Value Chain: Enabling and Value Creating Technologies -- The Big Data Value Chain: Definitions, Concepts, and Theoretical Approaches -- Big Data Acquisition -- Big Data Analysis -- Big Data Curation -- Big Data Storage -- Big Data Usage -- Part III: Usage and Exploitation of Big Data -- Big Data Driven Innovation in Industrial Sectors -- Big Data in the Health Sector -- Big Data in the Public Sector -- Big Data in the Finance and Insurance Sectors -- Big Data in the Energy and Transport Sectors -- Big Data in the Media and Entertainment Sectors -- Part IV: A Roadmap for Big Data Research -- Cross-Sectorial Requirements Analysis for Big Data Research -- New Horizons for a Data-Driven Economy: Roadmaps and Action Plans for Technology, Businesses, Policy, and Society.                        .
Record Nr. UNINA-9910136922403321
Cavanillas José María  
Cham, : Springer Nature, 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings of the 2nd International Doctoral Symposium on Middleware : held at the ACM/IFIP/USENIX International Middleware Conference : November 28-December 2, 2005, Grenoble, France
Proceedings of the 2nd International Doctoral Symposium on Middleware : held at the ACM/IFIP/USENIX International Middleware Conference : November 28-December 2, 2005, Grenoble, France
Autore Curry Edward
Pubbl/distr/stampa [Place of publication not identified], : ACM, 2005
Descrizione fisica 1 online resource (45 pages)
Collana ACM International Conference Proceedings Series
Soggetto topico Engineering & Applied Sciences
Computer Science
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Proceedings of the 2nd International Doctoral Symposium on Middleware : held at the Association for Computing Machinery/International Federation for Information Processing/USENIX International Middleware Conference : November 28-December 2, 2005, Grenoble, France
DSM '05
Proceedings of the 2nd International Doctoral Symposium on Middleware
Record Nr. UNINA-9910375929603321
Curry Edward  
[Place of publication not identified], : ACM, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The Semantic Web : 22nd European Semantic Web Conference, ESWC 2025, Portoroz, Slovenia, June 1–5, 2025, Proceedings, Part II / / edited by Edward Curry, Maribel Acosta, Maria Poveda-Villalón, Marieke van Erp, Adegboyega Ojo, Katja Hose, Cogan Shimizu, Pasquale Lisena
The Semantic Web : 22nd European Semantic Web Conference, ESWC 2025, Portoroz, Slovenia, June 1–5, 2025, Proceedings, Part II / / edited by Edward Curry, Maribel Acosta, Maria Poveda-Villalón, Marieke van Erp, Adegboyega Ojo, Katja Hose, Cogan Shimizu, Pasquale Lisena
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (XXIX, 353 p. 80 illus., 60 illus. in color.)
Disciplina 025.04
Collana Lecture Notes in Computer Science
Soggetto topico Information storage and retrieval systems
Application software
Algorithms
Expert systems (Computer science)
Information technology - Management
Machine learning
Information Storage and Retrieval
Computer and Information Systems Applications
Design and Analysis of Algorithms
Knowledge Based Systems
Computer Application in Administrative Data Processing
Machine Learning
ISBN 3-031-94578-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto In-Use: Towards Open Archival Linked Data (ALD): The Case of Swedish National Archives -- Language-Based Testing for Knowledge Graphs -- OWL strict: A Constrained OWL Fragment to avoid Ambiguities for Knowledge Graph Practitioners -- py-amr2fred: A Python Library for Converting Text into OWL-Compliant RDF Knowledge Graphs -- LLM-Supported Mapping Generation for Semantic Manufacturing Treasure Hunting -- Knowledge Graph Construction for Health, Lifestyle and Fitness Applications -- Semantic Technologies for Global Governance: A Hybrid AI Approach to Tracking and Monitoring WHO Resolutions -- Research Knowledge Graphs: the Shifting Paradigm of Scholarly Information Representation. Resource: MOOC on Linguistic Linked Data -- OntoAligner: A Comprehensive Modular and Robust Python Toolkit for Ontology Alignment -- Interoperable Interpretation and Evaluation of ODRL Policies -- The Semantic Web Language Server: enhancing the developer experience for Semantic Web practitioners -- mobilityDCAT-AP: a Metadata Specification for Enhanced Cross-border Mobility Data Sharing -- LLMs4SchemaDiscovery: A Human-in-the-Loop Workflow for Scientific Schema Mining with Large Language Models -- DBpedia-TKG: Capturing Wikipedia’s Evolution as Temporal Knowledge Graphs -- LLM-KG-Bench 3.0: A Compass for Semantic Technology Capabilities in the Ocean of LLMs -- Incremunica: Web-based Incremental View Maintenance for SPARQL -- ShowVoc: a Thorough Platform for Publishing and Browsing Linked Open Datasets -- Procedural Knowledge Ontology (PKO).
Record Nr. UNINA-9911007365203321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The Semantic Web : 22nd European Semantic Web Conference, ESWC 2025, Portoroz, Slovenia, June 1–5, 2025, Proceedings, Part I / / edited by Edward Curry, Maribel Acosta, Maria Poveda-Villalón, Marieke van Erp, Adegboyega Ojo, Katja Hose, Cogan Shimizu, Pasquale Lisena
The Semantic Web : 22nd European Semantic Web Conference, ESWC 2025, Portoroz, Slovenia, June 1–5, 2025, Proceedings, Part I / / edited by Edward Curry, Maribel Acosta, Maria Poveda-Villalón, Marieke van Erp, Adegboyega Ojo, Katja Hose, Cogan Shimizu, Pasquale Lisena
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (XXIX, 503 p. 131 illus., 102 illus. in color.)
Disciplina 025.04
Collana Lecture Notes in Computer Science
Soggetto topico Information storage and retrieval systems
Application software
Algorithms
Expert systems (Computer science)
Information technology - Management
Machine learning
Information Storage and Retrieval
Computer and Information Systems Applications
Design and Analysis of Algorithms
Knowledge Based Systems
Computer Application in Administrative Data Processing
Machine Learning
ISBN 3-031-94575-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Research: An Algebraic Foundation for Knowledge Graph Construction -- Inductive Higher Order Embeddings -- ReaLitE: Enrichment of Relation Embeddings in Knowledge Graphs using Numeric Literals -- Evaluating Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings -- On Evaluation Metrics for Complex Matching based on Reference Alignments -- Kastor: Fine-tuned Small Language Models for Shape-based Active Relation Extraction -- Predicting the Road Ahead: A Knowledge Graph based Foundation Model for Scene Understanding in Autonomous Driving -- ANTS: Abstractive Entity Summarization in Knowledge Graphs -- Delete/Rederive with Marking for Update Streams -- Balancing Privacy and Utility: Semantic Anonymization of Time-aware Knowledge Graphs -- Training-free Score Calibration for Complex Query Decomposition -- Information-aware Entity Indexing in Knowledge Graphs to Enable Semantic Search -- Explainable Temporal Fact Validation Through Constraints Discovery in Knowledge Graphs -- Multi-dataset and transfer learning using gene expression knowledge graphs for patient diagnosis -- Robustness Evaluation of Knowledge Graph Embedding Models under Non-targeted Attacks -- Predicting clinical outcomes from patient care pathways represented with temporal knowledge graphs -- AvengER: Ensembling and Fine-Tuning LLMs for Select Prompts in Entity Resolution -- Ontology Generation using Large Language Models -- Towards Practicable Algorithms for Rewriting Graph Queries beyond DL-Lite -- Designing Hierarchies for Optimal Hyperbolic Embedding -- RDF-based Semantics for Selective Disclosure and Zero-knowledge Proofs on Verifiable Credentials -- Taxonomy Inference for Tabular Data Using Large Language Models -- GeoRDF2vec – Learning Location-Aware Entity Representations in Knowledge Graphs -- RelCheck: Improving Relation Extraction with Ontology-Guided and LLM-Based Validation -- Analyzing the Influence of Knowledge Graph Information on Relation Extraction -- Extending Shape Expressions with an inheritance mechanism.
Record Nr. UNINA-9911007367403321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The Semantic Web : 22nd European Semantic Web Conference, ESWC 2025, Portoroz, Slovenia, June 1–5, 2025, Proceedings, Part I / / edited by Edward Curry, Maribel Acosta, Maria Poveda-Villalón, Marieke van Erp, Adegboyega Ojo, Katja Hose, Cogan Shimizu, Pasquale Lisena
The Semantic Web : 22nd European Semantic Web Conference, ESWC 2025, Portoroz, Slovenia, June 1–5, 2025, Proceedings, Part I / / edited by Edward Curry, Maribel Acosta, Maria Poveda-Villalón, Marieke van Erp, Adegboyega Ojo, Katja Hose, Cogan Shimizu, Pasquale Lisena
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (XXIX, 503 p. 131 illus., 102 illus. in color.)
Disciplina 025.04
Collana Lecture Notes in Computer Science
Soggetto topico Information storage and retrieval systems
Application software
Algorithms
Expert systems (Computer science)
Information technology - Management
Machine learning
Information Storage and Retrieval
Computer and Information Systems Applications
Design and Analysis of Algorithms
Knowledge Based Systems
Computer Application in Administrative Data Processing
Machine Learning
ISBN 3-031-94575-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Research: An Algebraic Foundation for Knowledge Graph Construction -- Inductive Higher Order Embeddings -- ReaLitE: Enrichment of Relation Embeddings in Knowledge Graphs using Numeric Literals -- Evaluating Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings -- On Evaluation Metrics for Complex Matching based on Reference Alignments -- Kastor: Fine-tuned Small Language Models for Shape-based Active Relation Extraction -- Predicting the Road Ahead: A Knowledge Graph based Foundation Model for Scene Understanding in Autonomous Driving -- ANTS: Abstractive Entity Summarization in Knowledge Graphs -- Delete/Rederive with Marking for Update Streams -- Balancing Privacy and Utility: Semantic Anonymization of Time-aware Knowledge Graphs -- Training-free Score Calibration for Complex Query Decomposition -- Information-aware Entity Indexing in Knowledge Graphs to Enable Semantic Search -- Explainable Temporal Fact Validation Through Constraints Discovery in Knowledge Graphs -- Multi-dataset and transfer learning using gene expression knowledge graphs for patient diagnosis -- Robustness Evaluation of Knowledge Graph Embedding Models under Non-targeted Attacks -- Predicting clinical outcomes from patient care pathways represented with temporal knowledge graphs -- AvengER: Ensembling and Fine-Tuning LLMs for Select Prompts in Entity Resolution -- Ontology Generation using Large Language Models -- Towards Practicable Algorithms for Rewriting Graph Queries beyond DL-Lite -- Designing Hierarchies for Optimal Hyperbolic Embedding -- RDF-based Semantics for Selective Disclosure and Zero-knowledge Proofs on Verifiable Credentials -- Taxonomy Inference for Tabular Data Using Large Language Models -- GeoRDF2vec – Learning Location-Aware Entity Representations in Knowledge Graphs -- RelCheck: Improving Relation Extraction with Ontology-Guided and LLM-Based Validation -- Analyzing the Influence of Knowledge Graph Information on Relation Extraction -- Extending Shape Expressions with an inheritance mechanism.
Record Nr. UNISA-996660367203316
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui

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