Measuring Ontologies for Value Enhancement : Aligning Computing Productivity with Human Creativity for Societal Adaptation : First International Workshop, MOVE 2020 Virtual Event, October 17-18, 2020, revised selected papers / / Rubina Polovina, Simon Polovina, and Neil Kemp (editors)

• Pubblicazione: Cham, Switzerland : , : Springer, , [2022]; ©2022
• Descrizione fisica: 1 online resource (284 pages)
• Disciplina: 006.332
• Soggetto topico: Ontologies (Information retrieval)
• Persona (resp. second.): PolovinaRubina; PolovinaSimon; KempNeil
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Intro -- Preface -- Organization -- Contents -- Complexity of Knowledge-Intensive Endeavors -- On Understanding and Modelling Complex Systems, Through a Pandemic -- 1 Introduction -- 2 The Upper Modelling Framework (UMF) -- 2.1 Four Spheres of the Model Existence -- 2.2 Modelling in the Principal Sphere -- 2.3 Conceptual Sphere -- 2.4 Formative Sphere and Manifestation -- 3 The Main Modelling Principles or Modelling Dimensions -- 4 Modelling Pandemic DIKW Flows -- 5 Forward-Looking Statement -- References -- Towards Endeavor Architecture to Support Knowledge Dynamics of Societal Adaptation -- 1 Context and Motivation for Establishing Endeavor Architecture -- 2 Environmental Adaption -- 2.1 Urban Development -- 2.2 Complexity -- 2.3 Wide-Spread and Rapid Societal Changes -- 2.4 Artificial Intelligence (AI) -- 3 Enterprise Architecture -- 3.1 Evolution of Enterprise Architecture -- 4 Four Functions of Endeavor Architecture -- 5 Exploring the Limitations of EA -- 6 Endeavor Architecture -- 7 Influences on Endeavor Architecture -- 7.1 Upper Modelling Framework -- 7.2 Four Sphere of MODel's Existence -- 7.3 Knowledge Dynamics that Support Societal Adaptation -- 8 Ten Principles of Knowledge Dynamics -- 8.1 Top-Down -- 8.2 Bottom-Up -- 8.3 Inclusion -- 8.4 Individuation -- 8.5 Openness -- 8.6 Integration -- 8.7 Opportunism -- 8.8 Collaboration -- 8.9 Adaptiveness -- 8.10 Emergence -- 9 Discussion -- 9.1 Why Do We Need EnA, and Why is EA Unsatisfactory? -- 9.2 How EnA Differs from EA, and Whether is It Supposed to Incorporate or Replace It? -- 9.3 Why Do We Need UMF, and How Does It Differ from Other Upper Ontologies? -- 9.4 What Are the Requirements for Good EnA, and How Can Approaches Be Evaluated? -- 9.5 How EnA Differs from Other Societal Approaches Such as KAOS, or Linguistic Approaches Such as DEMO?. ; 9.6 How EnA Aligns with Other Social Sciences? -- 9.7 What Literature Has Been Used? -- 10 Concluding Remarks -- References -- Ontology Modeling -- Towards Detecting Fake News Using Natural Language Understanding and Reasoning in Description Logics -- 1 Introduction -- 2 Finding Inconsistencies Using Description Logics -- 2.1 Description Logics -- 2.2 Inconsistency Patterns -- 3 Analysing Medical Misconceptions on Covid-19 Ontology -- 4 Automatic Conversion of the Covid-19 Myths into Description Logic with FRED -- 4.1 Linked Data and Compositional Semantics -- 4.2 Modalities and Disambiguation -- 4.3 Handling Negation -- 5 Detecting Fake News by Reasoning in Description Logics -- 6 Discussion and Related Work -- 7 Conclusion -- References -- Towards an Ontology of Explanations -- 1 Introduction -- 2 Formalizing Explanation -- 2.1 Explanation as a Cooperative, Interactive Act -- 2.2 Explanation Ontology (EIF) -- 3 Explanatory Structures -- 3.1 Explanation Formats -- 3.2 Matching Explanation Format to Epistemic Interest -- 4 Putting it All Together: Selecting an Explanation -- 5 Discussion and Related Work -- 6 Conclusion -- References -- Formal, Measurable Ontologies for Worldviews -- 1 Introduction -- 1.1 Analytic Theology -- 1.2 The Logic of Reformed Theology -- 2 The Interpretative Community Graph -- 3 Prior Community Ontology -- 4 Formal Theology -- 5 Conclusion -- References -- Enterprise Ontologies -- Underpinning Layered Enterprise Architecture Development with Formal Concept Analysis -- 1 Introduction -- 1.1 Enterprise Architecture -- 1.2 Challenge and Examples -- 1.3 Resolution -- 2 Research -- 2.1 History of Research -- 2.2 Retaining the Layers -- 3 Conclusion -- References -- Advancing Strategy Ontology -- 1 Introduction -- 2 Literature Review -- 2.1 Ontology and Strategy -- 2.2 Competencies, Capabilities and Competitive Advantage. ; 2.3 Strategy Models Review -- 2.4 Blue Ocean Strategy Canvas Example -- 2.5 Business Level Strategy - a Review of Industry Strategic Typologies -- 2.6 Summary of Academic Strategy Typologies -- 3 Methodology -- 4 Results -- 4.1 Strategy Models - Ontological Concept Confirmation -- 4.2 Correlation with Strategy, Competencies and Capabilities -- 4.3 Relationship with the Strategy Lifecycle -- 4.4 Extended Strategy Meta Model -- 4.5 Patterns with Strategy Typologies -- 4.6 A Tool for Grouping Models Related to Strategy Development -- 5 Discussion -- 5.1 Strategy Models - Ontological Concept Confirmation -- 5.2 Correlation Between Strategy, Competency and Capability -- 5.3 Relationship with the Strategy Lifecycle -- 5.4 Extended Strategy Meta Model -- 5.5 Patterns with Strategy Typology -- 5.6 Tool for Grouping Strategy -- 6 Conclusion -- References -- Knowledge Discovery and Innovations -- Participatory Collaboration Mapping of Design-Enabled Urban Innovations: The MappingDESIGNSCAPES Case -- 1 Introduction -- 2 Participatory Collaboration Mapping of Design-Enabled Urban Innovations -- 2.1 Design-Enabled Urban Innovations -- 2.2 Participatory Collaboration Mapping -- 3 The MappingDESIGNSCAPES Project -- 3.1 The MappingDESIGNSCAPES Knowledge Resources -- 3.2 The MappingDESIGNSCAPES Cases -- 3.3 The MappingDESIGNSCAPES Design Approach -- 4 The MappingDESIGNSCAPES Conceptual Model -- 4.1 Developing the Conceptual Model -- 4.2 The MappingDESIGNSCAPES Conceptual Framework -- 5 The MappingDESIGNSCAPES Visual Knowledge Base -- 5.1 The Conceptual Framework Map -- 5.2 The Case Maps -- 5.3 The Cross-Case Maps -- 6 Discussion -- 6.1 Collaborative Ontology Engineering: Laying the Conceptual Foundation Together -- 6.2 Participatory Mapping: Applying the Concepts to the Messy Real World -- 7 Conclusion -- References. ; Collaborative Sensemaking of Design-Enabled Urban Innovations: The MappingDESIGNSCAPES Case -- 1 Introduction -- 2 Collaborative Sensemaking of Design Enabled Urban Innovations -- 2.1 Collaborative Sensemaking: Conceptual Starting Points -- 2.2 Collaborative Sensemaking: The MappingDESIGNSCAPES Approach -- 3 Sensemaking Patterns and Perspectives -- 3.1 Core Collaboration Patterns -- 3.2 Common Perspectives -- 4 Making Sense Together -- 4.1 Taking Individual Perspectives -- 4.2 Making Common Sense -- 5 From Collaborative Sensemaking to Collective Impact -- 5.1 Participation: A Multi-faceted Process -- 5.2 Collaborative Sensemaking: Seeing the Bigger Picture Together -- 5.3 Using the Right Tools: Amplifying Collaborative Mapping and Sensemaking -- 5.4 Design-Enabled Urban Innovation: Towards Collective Impact -- 6 Conclusion -- References -- A Novel Ontological Approach to Track Social Determinants of Health in Primary Care -- 1 Introduction -- 2 Methods -- 2.1 Data Source -- 2.2 Variable Curation -- 2.3 Design of the Social Need Ontology -- 2.4 Ontological Approach to the Development of the Social Need Indicators -- 3 Results -- 3.1 Data Visualisation with Social Needs Observatory -- 4 Implications -- 4.1 Implications for Practice -- 4.2 Further Developments and Considerations -- References -- A Novel Ontological Approach to Estimate Inequalities and Underuse of Social Prescriptions for Mental Health in Primary Care in England -- 1 Introduction -- 2 Methods -- 2.1 Data Source -- 2.2 Variable Curation -- 2.3 Design and Development of the Social Need Ontology for CMHP -- 2.4 Data Validation and Analysis -- 3 Results -- 3.1 Time Trends of CMHP in England from 2017-2020 -- 3.2 Estimates of Eligible Population Subgroups Receiving Social Prescribing for Mental Health from 2017-2020 -- 4 Implications -- 4.1 Implications for Policy and Practice. ; 4.2 Further Developments and Considerations -- References -- FinTech and Its Implementation -- 1 Foreword -- 2 Introduction -- 2.1 History of FinTech -- 2.2 FinTech Today -- 2.3 FinTech Key Areas -- 2.4 FinTech Key Technologies -- 3 FinTech Implementations -- 3.1 Using Advanced Technology in Payment Fraud Prevention -- 3.2 Blockchain Technology -- 4 Connection of FinTech with Ontology Theory -- 5 Conclusions -- References -- Author Index.
• Titolo autorizzato: Measuring Ontologies for Value Enhancement
• ISBN: 3-031-22228-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996503563703316
• Lo trovi qui: Univ. di Salerno
• Serie: Communications in computer and information science ; ; Volume 1694.