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MARC Lista (tabellare)
Designing data spaces : the ecosystem approach to competitive advantage / / editors, Boris Otto, Michael Ten Hompel, Stefan Wrobel
Designing data spaces : the ecosystem approach to competitive advantage / / editors, Boris Otto, Michael Ten Hompel, Stefan Wrobel
Autore Otto Boris
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (xv, 580 pages) : illustrations (chiefly color)
Altri autori (Persone) OttoBoris
ten HompelMichael
WrobelStefan
Soggetto topico Database management
Information technology
Soggetto non controllato Data Spaces
GAIA-X
Data Lakes
Big Data
Information Retrieval
Information Systems Applications
Data Ecosystems
Data Integration
Data Security
ISBN 3-030-93975-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Foreword -- Preface -- Contents -- Abbreviation -- Part I: Foundations and Context -- Chapter 1: The Evolution of Data Spaces -- 1.1 Data Sharing in Data Ecosystems -- 1.1.1 The Role of Data for Enterprises -- 1.1.2 Data Sharing and Data Sovereignty -- 1.1.3 Example Mobility Data Space -- 1.1.4 Need for Action and Research Goal -- 1.2 Conceptual and Technological Foundations -- 1.2.1 Data Spaces Defined -- 1.2.2 Roles and Responsibilities in Data Spaces -- 1.2.3 GAIA-X and IDS -- 1.3 Evolutionary Stages of Data Space Ecosystems -- 1.4 Designing Data Spaces -- 1.4.1 Ecosystem Perspective -- 1.4.2 Federator Perspective -- 1.5 Summary and Outlook -- References -- Chapter 2: How to Build, Run, and Govern Data Spaces -- 2.1 Data Space Design Principles -- 2.1.1 Entirely New Services for Users Based on Enhanced Transparency and Data Sovereignty -- 2.1.2 Level Playing Field for Data Sharing and Exchange -- 2.1.3 Need for Data Space Interoperability: The Soft Infrastructure -- 2.1.4 Public-Private Governance: Europe Taking the Lead in Establishing the Soft Infrastructure in a Coordinated and Collabora... -- 2.2 Building Blocks for Data Spaces -- 2.2.1 Technical Building Blocks -- 2.2.2 Governance Building Blocks -- 2.3 Synthesis of Building Blocks to Data Spaces -- 2.4 Harmonized Approach to Data Space Governance -- 2.5 The Way Forward and Convergence: Actions to Take in the Coming Digital Decade -- References -- Chapter 3: International Data Spaces in a Nutshell -- 3.1 International Data Spaces -- 3.1.1 Goals of the International Data Spaces -- 3.1.2 Reference Architecture Model -- 3.1.2.1 The International Data Spaces Components -- 3.1.2.2 The International Data Spaces Roles -- 3.1.2.3 Usage Control -- 3.1.3 Certification -- 3.1.3.1 Security Profiles -- 3.1.3.2 Participant Certification -- 3.1.3.3 Component Certification -- 3.1.4 Open Source.
References -- Chapter 4: Role of Gaia-X in the European Data Space Ecosystem -- 4.1 A Quick Introduction to Gaia-X -- 4.2 The Business World with Gaia-X -- 4.2.1 Economy of Data -- 4.2.2 Compliance -- 4.2.3 Measuring Success -- 4.3 The Gaia-X Principles -- 4.3.1 Objectives -- 4.3.2 Policy Rules and Specifications for Infrastructure Application and Data -- 4.3.3 Federated Services in Business Ecosystems -- 4.4 The Gaia-X Data Spaces -- 4.4.1 Finance and Insurance -- 4.4.2 Energy -- 4.4.3 Automotive -- 4.4.4 Health -- 4.4.5 Aeronautics -- 4.4.6 Travel -- 4.5 The National Hub Organization and the Launching of Additional Data Spaces -- 4.6 Conclusion: Data Spaces-The Enabler of Digital in Business -- References -- Chapter 5: Legal Aspects of IDS: Data Sovereignty-What Does It Imply? -- 5.1 Data Sovereignty: Freedom of Contract and Regulation -- 5.1.1 No Ownership or Exclusivity Rights in Data -- 5.1.2 Usage Control: Legally and Technically -- 5.1.3 Database Rights -- 5.1.4 Trade Secrets -- 5.1.5 Competition Law -- 5.1.6 EU Strategy on Data: The Relevance of Data Spaces -- 5.1.7 Data Governance Act: First Comments -- 5.1.8 Personal and Non-personal Data -- 5.1.8.1 GDPR -- 5.1.8.2 Free Flow of Non-Personal Data Regulation -- 5.1.9 Cybersecurity -- 5.1.9.1 NIS Directive -- 5.1.9.2 Cybersecurity Act -- 5.2 Preparing Contractual Ecosystems -- 5.2.1 Platform Contracts -- 5.2.1.1 Key Principles -- 5.2.1.2 Legal TestBed: A Lead Example -- 5.2.2 Data Licensing Agreements -- 5.2.2.1 The Contract Matrix -- 5.2.2.2 The IDS Sample Contracts -- 5.3 Implementing Compliance -- 5.3.1 GDPR -- 5.3.1.1 Controllers, Joint Controllers, and Processors -- 5.3.1.2 Documentation -- 5.3.1.3 Breach Notifications -- 5.3.1.4 Enforcement and Sanctions -- 5.3.2 Competition Law -- 5.4 Certifications from a Legal Perspective -- 5.4.1 Role of Procedural Rules -- 5.4.2 Additional Aspects.
Chapter 6: Tokenomics: Decentralized Incentivization in the Context of Data Spaces -- 6.1 Tokenomics in the Context of Data Spaces -- 6.2 Token-Based Supply Chain Management -- 6.2.1 Supply Chain Traceability -- 6.2.2 Distributed Ledger Technology and Tokenomics -- 6.2.3 DLT-Based Supply Chain Traceability -- 6.3 Tokenomics in the Context of Personal Data Markets -- 6.3.1 Personal Data Markets -- 6.3.2 Motivational Factors for Tokenomics Approach in Personal Data Markets -- 6.3.3 Token Design Principles for Personal Data Markets -- 6.3.4 Derivation of Token Archetypes for PDMs -- 6.4 Conclusions -- References -- Part II: Data Space Technologies -- Chapter 7: The IDS Information Model: A Semantic Vocabulary for Sovereign Data Exchange -- 7.1 Introduction -- 7.2 Evolving Trust in the IDS Toward Self-Sovereign Identity -- 7.3 Definition of Contract Clauses: The IDS Usage Contract Language and Its Core Concepts -- 7.3.1 The Solid Access Control Model vs. IDS Usage Contract Language -- 7.3.2 Usage Control Dimensions -- 7.3.3 Operators for Usage Control Rules -- 7.4 The Policy Information Point -- 7.5 The Participant Information Service (ParIS) -- 7.6 Conclusion: The IDS-IM as the Bridge Between Expressions, Infrastructure, and Enforcement -- References -- Chapter 8: Data Usage Control -- 8.1 Introduction -- 8.2 Usage Control -- 8.2.1 Access Control -- 8.2.2 Usage Control -- 8.2.3 Usage Control Components and Communication Flow -- 8.2.4 Specification, Management, and Negotiation -- 8.2.5 Related Concepts -- 8.2.5.1 Data Leak/Loss Prevention -- 8.2.5.2 Digital Rights Management -- 8.2.5.3 User Managed Access -- 8.2.5.4 Windows Information Protection -- 8.3 Usage Control in the IDS -- 8.3.1 Usage Control Policies -- 8.3.1.1 Policy Classes -- 8.3.1.2 Policy Negotiation -- 8.3.2 Usage Control Technologies -- 8.3.2.1 Integration Concept.
8.3.2.2 MY DATA Control Technologies -- 8.3.3 Logic-Based Usage Control (LUCON) -- 8.3.3.1 Degree (D) -- 8.3.3.2 Data Provenance Tracking -- 8.4 Conclusion -- References -- Chapter 9: Building Trust in Data Spaces -- 9.1 Introduction -- 9.2 Data Sovereignty and Usage Control -- 9.2.1 Data Provider and Data Consumer -- 9.2.2 Protection Goals and Attacker Model -- 9.2.3 Building Blocks -- 9.3 Certification Process -- 9.3.1 Multiple Eye Principle -- 9.3.2 Component Certification -- 9.3.3 Operational Environment Certification -- 9.4 Connector Identities and Software Signing -- 9.4.1 Technical Implementation of the Certification Process -- 9.4.2 Connector Identities and Company Descriptions -- 9.4.3 Software Signing and Manifests -- 9.5 Connector System Security -- 9.5.1 Trusted Computing Base -- 9.5.2 Remote Attestation -- 9.6 Conclusion -- References -- Chapter 10: Blockchain Technology and International Data Spaces -- 10.1 Introduction -- 10.2 Blockchain Technology -- 10.2.1 Basic Concept -- 10.2.2 Design Parameters -- 10.2.3 Smart Contracts -- 10.2.4 Opportunities of Blockchain Systems -- 10.3 Blockchain in International Data Spaces -- 10.4 Application Examples: Industrial Use Cases -- 10.4.1 TrackChain -- 10.4.2 Silke -- 10.4.3 Sinlog -- 10.4.4 BC for Production -- 10.5 Conclusion -- References -- Chapter 11: Federated Data Integration in Data Spaces -- 11.1 Introduction -- 11.2 Federated Data Integration Workflows in Data Spaces -- 11.2.1 A Simple Demonstrator Scenario -- 11.2.2 A Data Integration Workflow Solution for Data Spaces -- 11.3 Toward Formalisms for Virtual Data Space Integration -- 11.3.1 Logical Foundations for Data Integration -- 11.3.2 Data Integration Tool Extensions for Data Spaces -- References -- Chapter 12: Semantic Integration and Interoperability -- 12.1 Introduction -- 12.2 The Neglected Variety Dimension.
12.2.1 From Big Data to Cognitive Data -- 12.3 Representing Knowledge in Semantic Graphs -- 12.3.1 Representing Data Semantically -- 12.4 RDF a Holistic Data Representation for Schema, Data, and Metadata -- 12.5 Establishing Interoperability by Linking and Mapping between Different Data and Knowledge Representations -- 12.6 Exemplary Data Integration in Supply Chains with ScorVoc -- 12.7 Conclusions -- References -- Chapter 13: Data Ecosystems: A New Dimension of Value Creation Using AI and Machine Learning -- 13.1 Introduction -- 13.2 Big Data, Machine Learning, and Artificial Intelligence -- 13.3 An Open Platform for Developing AI Applications -- 13.4 Machine Learning at the Edge -- 13.5 Machine Learning in Digital Ecosystems -- 13.6 Trustworthy AI Solutions -- 13.7 Summary -- References -- Chapter 14: IDS as a Foundation for Open Data Ecosystems -- 14.1 Introduction -- 14.2 Barriers of Open Data -- 14.3 Related Work -- 14.4 International Data Spaces and Open Data -- 14.4.1 IDS as an Open Data Technology -- 14.4.2 IDS Components in an Open Data Environment -- 14.4.3 Benefits -- 14.5 The Public Data Space -- 14.5.1 The Open Data Connector -- 14.5.2 The Open Data Broker -- 14.5.3 Use Case: Publishing Open Government Data -- 14.6 Discussion and Conclusion -- References -- Chapter 15: Defining Platform Research Infrastructure as a Service (PRIaaS) for Future Scientific Data Infrastructure -- 15.1 Introduction -- 15.2 European Research Area -- 15.2.1 European Research Infrastructures and ESFRI Roadmap -- 15.2.2 European Open Science Cloud (EOSC) -- 15.3 Technology-Driven Science Transformation -- 15.3.1 Science Digitalization and Industry 4.0 -- 15.3.2 Transformational Role of Artificial Intelligence -- 15.3.3 Promises of 5G Technologies -- 15.3.4 Adopting Platform and Ecosystems Business Model for Future SDI.
15.3.5 Other Infrastructure Technologies and Trends.
Record Nr. UNINA-9910585784403321
Otto Boris  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Designing data spaces : the ecosystem approach to competitive advantage / / editors, Boris Otto, Michael Ten Hompel, Stefan Wrobel
Designing data spaces : the ecosystem approach to competitive advantage / / editors, Boris Otto, Michael Ten Hompel, Stefan Wrobel
Autore Otto Boris
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (xv, 580 pages) : illustrations (chiefly color)
Altri autori (Persone) OttoBoris
ten HompelMichael
WrobelStefan
Soggetto topico Database management
Information technology
Soggetto non controllato Data Spaces
GAIA-X
Data Lakes
Big Data
Information Retrieval
Information Systems Applications
Data Ecosystems
Data Integration
Data Security
ISBN 3-030-93975-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Foreword -- Preface -- Contents -- Abbreviation -- Part I: Foundations and Context -- Chapter 1: The Evolution of Data Spaces -- 1.1 Data Sharing in Data Ecosystems -- 1.1.1 The Role of Data for Enterprises -- 1.1.2 Data Sharing and Data Sovereignty -- 1.1.3 Example Mobility Data Space -- 1.1.4 Need for Action and Research Goal -- 1.2 Conceptual and Technological Foundations -- 1.2.1 Data Spaces Defined -- 1.2.2 Roles and Responsibilities in Data Spaces -- 1.2.3 GAIA-X and IDS -- 1.3 Evolutionary Stages of Data Space Ecosystems -- 1.4 Designing Data Spaces -- 1.4.1 Ecosystem Perspective -- 1.4.2 Federator Perspective -- 1.5 Summary and Outlook -- References -- Chapter 2: How to Build, Run, and Govern Data Spaces -- 2.1 Data Space Design Principles -- 2.1.1 Entirely New Services for Users Based on Enhanced Transparency and Data Sovereignty -- 2.1.2 Level Playing Field for Data Sharing and Exchange -- 2.1.3 Need for Data Space Interoperability: The Soft Infrastructure -- 2.1.4 Public-Private Governance: Europe Taking the Lead in Establishing the Soft Infrastructure in a Coordinated and Collabora... -- 2.2 Building Blocks for Data Spaces -- 2.2.1 Technical Building Blocks -- 2.2.2 Governance Building Blocks -- 2.3 Synthesis of Building Blocks to Data Spaces -- 2.4 Harmonized Approach to Data Space Governance -- 2.5 The Way Forward and Convergence: Actions to Take in the Coming Digital Decade -- References -- Chapter 3: International Data Spaces in a Nutshell -- 3.1 International Data Spaces -- 3.1.1 Goals of the International Data Spaces -- 3.1.2 Reference Architecture Model -- 3.1.2.1 The International Data Spaces Components -- 3.1.2.2 The International Data Spaces Roles -- 3.1.2.3 Usage Control -- 3.1.3 Certification -- 3.1.3.1 Security Profiles -- 3.1.3.2 Participant Certification -- 3.1.3.3 Component Certification -- 3.1.4 Open Source.
References -- Chapter 4: Role of Gaia-X in the European Data Space Ecosystem -- 4.1 A Quick Introduction to Gaia-X -- 4.2 The Business World with Gaia-X -- 4.2.1 Economy of Data -- 4.2.2 Compliance -- 4.2.3 Measuring Success -- 4.3 The Gaia-X Principles -- 4.3.1 Objectives -- 4.3.2 Policy Rules and Specifications for Infrastructure Application and Data -- 4.3.3 Federated Services in Business Ecosystems -- 4.4 The Gaia-X Data Spaces -- 4.4.1 Finance and Insurance -- 4.4.2 Energy -- 4.4.3 Automotive -- 4.4.4 Health -- 4.4.5 Aeronautics -- 4.4.6 Travel -- 4.5 The National Hub Organization and the Launching of Additional Data Spaces -- 4.6 Conclusion: Data Spaces-The Enabler of Digital in Business -- References -- Chapter 5: Legal Aspects of IDS: Data Sovereignty-What Does It Imply? -- 5.1 Data Sovereignty: Freedom of Contract and Regulation -- 5.1.1 No Ownership or Exclusivity Rights in Data -- 5.1.2 Usage Control: Legally and Technically -- 5.1.3 Database Rights -- 5.1.4 Trade Secrets -- 5.1.5 Competition Law -- 5.1.6 EU Strategy on Data: The Relevance of Data Spaces -- 5.1.7 Data Governance Act: First Comments -- 5.1.8 Personal and Non-personal Data -- 5.1.8.1 GDPR -- 5.1.8.2 Free Flow of Non-Personal Data Regulation -- 5.1.9 Cybersecurity -- 5.1.9.1 NIS Directive -- 5.1.9.2 Cybersecurity Act -- 5.2 Preparing Contractual Ecosystems -- 5.2.1 Platform Contracts -- 5.2.1.1 Key Principles -- 5.2.1.2 Legal TestBed: A Lead Example -- 5.2.2 Data Licensing Agreements -- 5.2.2.1 The Contract Matrix -- 5.2.2.2 The IDS Sample Contracts -- 5.3 Implementing Compliance -- 5.3.1 GDPR -- 5.3.1.1 Controllers, Joint Controllers, and Processors -- 5.3.1.2 Documentation -- 5.3.1.3 Breach Notifications -- 5.3.1.4 Enforcement and Sanctions -- 5.3.2 Competition Law -- 5.4 Certifications from a Legal Perspective -- 5.4.1 Role of Procedural Rules -- 5.4.2 Additional Aspects.
Chapter 6: Tokenomics: Decentralized Incentivization in the Context of Data Spaces -- 6.1 Tokenomics in the Context of Data Spaces -- 6.2 Token-Based Supply Chain Management -- 6.2.1 Supply Chain Traceability -- 6.2.2 Distributed Ledger Technology and Tokenomics -- 6.2.3 DLT-Based Supply Chain Traceability -- 6.3 Tokenomics in the Context of Personal Data Markets -- 6.3.1 Personal Data Markets -- 6.3.2 Motivational Factors for Tokenomics Approach in Personal Data Markets -- 6.3.3 Token Design Principles for Personal Data Markets -- 6.3.4 Derivation of Token Archetypes for PDMs -- 6.4 Conclusions -- References -- Part II: Data Space Technologies -- Chapter 7: The IDS Information Model: A Semantic Vocabulary for Sovereign Data Exchange -- 7.1 Introduction -- 7.2 Evolving Trust in the IDS Toward Self-Sovereign Identity -- 7.3 Definition of Contract Clauses: The IDS Usage Contract Language and Its Core Concepts -- 7.3.1 The Solid Access Control Model vs. IDS Usage Contract Language -- 7.3.2 Usage Control Dimensions -- 7.3.3 Operators for Usage Control Rules -- 7.4 The Policy Information Point -- 7.5 The Participant Information Service (ParIS) -- 7.6 Conclusion: The IDS-IM as the Bridge Between Expressions, Infrastructure, and Enforcement -- References -- Chapter 8: Data Usage Control -- 8.1 Introduction -- 8.2 Usage Control -- 8.2.1 Access Control -- 8.2.2 Usage Control -- 8.2.3 Usage Control Components and Communication Flow -- 8.2.4 Specification, Management, and Negotiation -- 8.2.5 Related Concepts -- 8.2.5.1 Data Leak/Loss Prevention -- 8.2.5.2 Digital Rights Management -- 8.2.5.3 User Managed Access -- 8.2.5.4 Windows Information Protection -- 8.3 Usage Control in the IDS -- 8.3.1 Usage Control Policies -- 8.3.1.1 Policy Classes -- 8.3.1.2 Policy Negotiation -- 8.3.2 Usage Control Technologies -- 8.3.2.1 Integration Concept.
8.3.2.2 MY DATA Control Technologies -- 8.3.3 Logic-Based Usage Control (LUCON) -- 8.3.3.1 Degree (D) -- 8.3.3.2 Data Provenance Tracking -- 8.4 Conclusion -- References -- Chapter 9: Building Trust in Data Spaces -- 9.1 Introduction -- 9.2 Data Sovereignty and Usage Control -- 9.2.1 Data Provider and Data Consumer -- 9.2.2 Protection Goals and Attacker Model -- 9.2.3 Building Blocks -- 9.3 Certification Process -- 9.3.1 Multiple Eye Principle -- 9.3.2 Component Certification -- 9.3.3 Operational Environment Certification -- 9.4 Connector Identities and Software Signing -- 9.4.1 Technical Implementation of the Certification Process -- 9.4.2 Connector Identities and Company Descriptions -- 9.4.3 Software Signing and Manifests -- 9.5 Connector System Security -- 9.5.1 Trusted Computing Base -- 9.5.2 Remote Attestation -- 9.6 Conclusion -- References -- Chapter 10: Blockchain Technology and International Data Spaces -- 10.1 Introduction -- 10.2 Blockchain Technology -- 10.2.1 Basic Concept -- 10.2.2 Design Parameters -- 10.2.3 Smart Contracts -- 10.2.4 Opportunities of Blockchain Systems -- 10.3 Blockchain in International Data Spaces -- 10.4 Application Examples: Industrial Use Cases -- 10.4.1 TrackChain -- 10.4.2 Silke -- 10.4.3 Sinlog -- 10.4.4 BC for Production -- 10.5 Conclusion -- References -- Chapter 11: Federated Data Integration in Data Spaces -- 11.1 Introduction -- 11.2 Federated Data Integration Workflows in Data Spaces -- 11.2.1 A Simple Demonstrator Scenario -- 11.2.2 A Data Integration Workflow Solution for Data Spaces -- 11.3 Toward Formalisms for Virtual Data Space Integration -- 11.3.1 Logical Foundations for Data Integration -- 11.3.2 Data Integration Tool Extensions for Data Spaces -- References -- Chapter 12: Semantic Integration and Interoperability -- 12.1 Introduction -- 12.2 The Neglected Variety Dimension.
12.2.1 From Big Data to Cognitive Data -- 12.3 Representing Knowledge in Semantic Graphs -- 12.3.1 Representing Data Semantically -- 12.4 RDF a Holistic Data Representation for Schema, Data, and Metadata -- 12.5 Establishing Interoperability by Linking and Mapping between Different Data and Knowledge Representations -- 12.6 Exemplary Data Integration in Supply Chains with ScorVoc -- 12.7 Conclusions -- References -- Chapter 13: Data Ecosystems: A New Dimension of Value Creation Using AI and Machine Learning -- 13.1 Introduction -- 13.2 Big Data, Machine Learning, and Artificial Intelligence -- 13.3 An Open Platform for Developing AI Applications -- 13.4 Machine Learning at the Edge -- 13.5 Machine Learning in Digital Ecosystems -- 13.6 Trustworthy AI Solutions -- 13.7 Summary -- References -- Chapter 14: IDS as a Foundation for Open Data Ecosystems -- 14.1 Introduction -- 14.2 Barriers of Open Data -- 14.3 Related Work -- 14.4 International Data Spaces and Open Data -- 14.4.1 IDS as an Open Data Technology -- 14.4.2 IDS Components in an Open Data Environment -- 14.4.3 Benefits -- 14.5 The Public Data Space -- 14.5.1 The Open Data Connector -- 14.5.2 The Open Data Broker -- 14.5.3 Use Case: Publishing Open Government Data -- 14.6 Discussion and Conclusion -- References -- Chapter 15: Defining Platform Research Infrastructure as a Service (PRIaaS) for Future Scientific Data Infrastructure -- 15.1 Introduction -- 15.2 European Research Area -- 15.2.1 European Research Infrastructures and ESFRI Roadmap -- 15.2.2 European Open Science Cloud (EOSC) -- 15.3 Technology-Driven Science Transformation -- 15.3.1 Science Digitalization and Industry 4.0 -- 15.3.2 Transformational Role of Artificial Intelligence -- 15.3.3 Promises of 5G Technologies -- 15.3.4 Adopting Platform and Ecosystems Business Model for Future SDI.
15.3.5 Other Infrastructure Technologies and Trends.
Record Nr. UNISA-996483157003316
Otto Boris  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Evaluating information retrieval and access tasks : NTCIR's legacy of research impact / / edited by Tetsuya Sakai, Douglas W. Oard, Noriko Kando
Evaluating information retrieval and access tasks : NTCIR's legacy of research impact / / edited by Tetsuya Sakai, Douglas W. Oard, Noriko Kando
Autore Sakai Tetsuya
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (XIII, 219 pages 25 illustrations, 11 illustrations in color.) : digital, PDF file(s)
Disciplina 025.04
Collana The Information Retrieval Series
Soggetto topico Information retrieval
Information Storage and Retrieval
Soggetto non controllato Information Storage and Retrieval
Evaluation
Information Retrieval
Multilingual Information Access
NTCIR
Test Collections
Information Search
Information Storage
Artificial Intelligence
Open Acces
Information retrieval
Data warehousing
ISBN 981-15-5554-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Graded Relevance -- Chapter 2. Experiments on Cross-Language Information Retrieval using Comparable Corpora of Chinese, Japanese, and Korean Languages -- Chapter 3. Text Summarization Challenge -- Chapter 4. Challenges in Patent Information Retrieval -- Chapter 5. Multi-Modal Summarization -- Chapter 6. Opinion Analysis Corpora Across Languages -- Chapter 7. Patent Translation -- Chapter 8. Component-Based Evaluation for Question Answering -- Chapter 9. Temporal Information Access -- Chapter 10. SogouQ -- Chapter 11. Evaluation of Information Access with Smartphones -- Chapter 12. Mathematical Information Retrieval -- Chapter 13. Experiments in Lifelog Organisation and Retrieval at NTCIR -- Chapter 14. The Future of Information Retrieval Evaluation.
Record Nr. UNISA-996464380203316
Sakai Tetsuya  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Evaluating information retrieval and access tasks : NTCIR's legacy of research impact / / edited by Tetsuya Sakai, Douglas W. Oard, Noriko Kando
Evaluating information retrieval and access tasks : NTCIR's legacy of research impact / / edited by Tetsuya Sakai, Douglas W. Oard, Noriko Kando
Autore Sakai Tetsuya
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (XIII, 219 pages 25 illustrations, 11 illustrations in color.) : digital, PDF file(s)
Disciplina 025.04
Collana The Information Retrieval Series
Soggetto topico Information retrieval
Information Storage and Retrieval
Soggetto non controllato Information Storage and Retrieval
Evaluation
Information Retrieval
Multilingual Information Access
NTCIR
Test Collections
Information Search
Information Storage
Artificial Intelligence
Open Acces
Information retrieval
Data warehousing
ISBN 981-15-5554-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Graded Relevance -- Chapter 2. Experiments on Cross-Language Information Retrieval using Comparable Corpora of Chinese, Japanese, and Korean Languages -- Chapter 3. Text Summarization Challenge -- Chapter 4. Challenges in Patent Information Retrieval -- Chapter 5. Multi-Modal Summarization -- Chapter 6. Opinion Analysis Corpora Across Languages -- Chapter 7. Patent Translation -- Chapter 8. Component-Based Evaluation for Question Answering -- Chapter 9. Temporal Information Access -- Chapter 10. SogouQ -- Chapter 11. Evaluation of Information Access with Smartphones -- Chapter 12. Mathematical Information Retrieval -- Chapter 13. Experiments in Lifelog Organisation and Retrieval at NTCIR -- Chapter 14. The Future of Information Retrieval Evaluation.
Record Nr. UNINA-9910418343803321
Sakai Tetsuya  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Library and Information Sciences [[electronic resource] ] : Trends and Research / / edited by Chuanfu Chen, Ronald Larsen
Library and Information Sciences [[electronic resource] ] : Trends and Research / / edited by Chuanfu Chen, Ronald Larsen
Autore Chen Chuanfu
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham, : Springer Nature, 2014
Descrizione fisica 1 online resource (178 pages) : illustrations; digital file(s)
Disciplina 020
Soggetto topico Business
Management science
Library science
Literacy
Business and Management, general
Library Science
Soggetto non controllato Information Profession
Information Literacy
LIS Education
Trends
Information Retrieval
Informatrics
ISBN 3-642-54812-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I Information Profession and Information Literacy -- Chapter 1 Career and Professional Opportunities and Challenges for Librarians and Other Information Professionals Specializing in Information Literacy and Lifelong Learning -- Chapter 2 So What’s the Big Deal With Information Literacy in the United States? -- Chapter 3 A Group Discussion on Information Literacy -- Part II Trends of Library and Information Sciences Education -- Chapter 4 iSchools & the iSchool at Syracuse University -- Part III Information Seeking and Retrieval -- Chapter 5 Visual Data Mining in a Q&A based Social Media Website -- Chapter 6 Information Seeking Behaviour and Usage on a Multi-media Platform: Case Study Europeana -- Chapter 7 Exploratory Search: a Critical Analysis of the Theoretical Foundations, Systems Features, and Research Trends -- Part IV Informatics -- Chapter 8 Scientific Datasets: Informetric Characteristics and Social Utility Metrics for Biodiversity Data Sources -- Chapter 9 Knowledge Discovery of Complex Networks Research Literature -- Chapter 10 Bibliometrics and University Research Rankings Demystified for Librarians -- Part V Development of World Libraries -- Chapter 11 The Development of East Asian Libraries in North America.
Record Nr. UNINA-9910132157903321
Chen Chuanfu  
Cham, : Springer Nature, 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Library and Information Sciences [[electronic resource] ] : Trends and Research / / edited by Chuanfu Chen, Ronald Larsen
Library and Information Sciences [[electronic resource] ] : Trends and Research / / edited by Chuanfu Chen, Ronald Larsen
Autore Chen Chuanfu
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham, : Springer Nature, 2014
Descrizione fisica 1 online resource (178 pages) : illustrations; digital file(s)
Disciplina 020
Soggetto topico Business
Management science
Library science
Literacy
Business and Management, general
Library Science
Soggetto non controllato Information Profession
Information Literacy
LIS Education
Trends
Information Retrieval
Informatrics
ISBN 3-642-54812-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I Information Profession and Information Literacy -- Chapter 1 Career and Professional Opportunities and Challenges for Librarians and Other Information Professionals Specializing in Information Literacy and Lifelong Learning -- Chapter 2 So What’s the Big Deal With Information Literacy in the United States? -- Chapter 3 A Group Discussion on Information Literacy -- Part II Trends of Library and Information Sciences Education -- Chapter 4 iSchools & the iSchool at Syracuse University -- Part III Information Seeking and Retrieval -- Chapter 5 Visual Data Mining in a Q&A based Social Media Website -- Chapter 6 Information Seeking Behaviour and Usage on a Multi-media Platform: Case Study Europeana -- Chapter 7 Exploratory Search: a Critical Analysis of the Theoretical Foundations, Systems Features, and Research Trends -- Part IV Informatics -- Chapter 8 Scientific Datasets: Informetric Characteristics and Social Utility Metrics for Biodiversity Data Sources -- Chapter 9 Knowledge Discovery of Complex Networks Research Literature -- Chapter 10 Bibliometrics and University Research Rankings Demystified for Librarians -- Part V Development of World Libraries -- Chapter 11 The Development of East Asian Libraries in North America.
Record Nr. UNISA-996215314103316
Chen Chuanfu  
Cham, : Springer Nature, 2014
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Possibly imperfect ontologies for effective information retrieval
Possibly imperfect ontologies for effective information retrieval
Autore Nagypál Gábor
Pubbl/distr/stampa KIT Scientific Publishing, 2007
Descrizione fisica 1 electronic resource (XIV, 272 p. p.)
Soggetto non controllato Fuzzy Menge
automatic metadata generation
Ontologie
fuzzy set
probability theory
Information-Retrieval-System
Generierung
Unvollkommenheit
possibility theory
Metadaten
Semantic Web
automatische Metadatengenerierung
Wahrscheinlichkeitstheorie
Information Retrieval
imperfection
ontology
ISBN 1000007206
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346936903321
Nagypál Gábor  
KIT Scientific Publishing, 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Technologies and applications for big data value / editors, Edward Curry [et al.]
Technologies and applications for big data value / editors, Edward Curry [et al.]
Autore Curry Edward
Pubbl/distr/stampa Cham, : Springer International Publishing AG, 2022
Descrizione fisica 1 online resource (555 p.) : illustrations (chiefly color)
Altri autori (Persone) CurryEdward R
AuerSören <1975->
BerreArne J
MetzgerAndreas
PerezMaria S
ZillnerSonja
Soggetto topico Artificial intelligence
Big data
Soggetto non controllato Big Data
Data Management
Data Processing
Data Analytics
Data Visualisation and User Interaction
Knowledge Discovery
Information Retrieval
ISBN 3-030-78307-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566453203321
Curry Edward  
Cham, : Springer International Publishing AG, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Technologies and applications for big data value / editors, Edward Curry [et al.]
Technologies and applications for big data value / editors, Edward Curry [et al.]
Autore Curry Edward
Pubbl/distr/stampa Cham, : Springer International Publishing AG, 2022
Descrizione fisica 1 online resource (555 p.) : illustrations (chiefly color)
Altri autori (Persone) CurryEdward R
AuerSören <1975->
BerreArne J
MetzgerAndreas
PerezMaria S
ZillnerSonja
Soggetto topico Artificial intelligence
Big data
Soggetto non controllato Big Data
Data Management
Data Processing
Data Analytics
Data Visualisation and User Interaction
Knowledge Discovery
Information Retrieval
ISBN 3-030-78307-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996472064303316
Curry Edward  
Cham, : Springer International Publishing AG, 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui