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[null,"1.","Record Nr.",null,"UNIORUON00080590"]
[null,null,"Autore",null,"MARSHALL, David R."]
[null,null,"Titolo",null,"God, Muhammad and the unbelievers : a qur'anic study / David Marshall"]
[null,null,"Pubbl/distr/stampa",null,"[Richmond], : Curzon, 1999"]
[null,null,"ISBN",null,"07-00-71086-8"]
[null,null,"Descrizione fisica",null,"xviii, 222 p. ; 23 cm"]
[null,null,"Disciplina",null,"297.1226"]
[null,null,"Soggetti",null,"CORANO - Esegesi"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910855366003321"]
[null,null,"Autore",null,"Araújo João"]
[null,null,"Titolo",null,"Research Challenges in Information Science : 18th International Conference, RCIS 2024, Guimarães, Portugal, May 14–17, 2024, Proceedings, Part I / / edited by João Araújo, Jose Luis de la Vara, Maribel Yasmina Santos, Saïd Assar"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9783031594656"]
[{"$nulls":4},"3031594657"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (441 pages)"]
[null,null,"Collana",null,"Lecture Notes in Business Information Processing, , 1865-1356 ; ; 513"]
[null,null,"Disciplina",null,"005.3"]
[null,null,"Soggetti",null,"Information technology - Management"]
[{"$nulls":4},"Database management"]
[{"$nulls":4},"Software engineering"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Information storage and retrieval systems"]
[{"$nulls":4},"Computer Application in Administrative Data Processing"]
[{"$nulls":4},"Business Process Management"]
[{"$nulls":4},"Database Management"]
[{"$nulls":4},"Software Engineering"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Information Storage and Retrieval"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Abstracts of Keynote Talks -- Information Science Research with Large Language Models: Between Science and Fiction -- The Power of Information Systems Shaping the Future of the Automotive Industry -- BPM in the Era of AI and Generative AI: Opportunities and Challenges -- Contents - Part I -- Contents - Part II -- Data and Information Management -- Unified Models and Framework for Querying Distributed Data Across Polystores -- 1 Introduction -- 2 Motivating Example -- 3 Our Proposed Framework -- 3.1 Problem Statement -- 3.2 An Overview of the Framework -- 4 Experiments -- 4.1 Datasets -- 4.2 Developed Framework Modules -- 4.3 Experimental Setup and Protocol -- 4.4 Evaluation of Our Framework Adaptability -- 4.5 Evaluation of Our "]
[{"$nulls":4},"Framework with Data Volume -- 5 Related Work -- 6 Conclusion -- References -- Enabling Interdisciplinary Research in Open Science: Open Science Data Network -- 1 Introduction -- 2 Related Works -- 3 Open Science and Information Exchange -- 3.1 Formal Notation -- 3.2 Interoperability and Information Exchange -- 3.3 Open Science Information Exchange Quantitative Assessment -- 4 Proposition: The Open Science Data Network -- 4.1 Information Exchange and Interoperability in OSDN -- 4.2 Scalability - Robustness of OSDN -- 5 Experiments -- 5.1 OSDN Network POC -- 5.2 Use Case - An Agronomic Research Project -- 6 Conclusion -- References -- TD-CRESTS: Top-Down Chunk Retrieval Based on Entity, Section, and Topic Selection -- 1 Introduction -- 2 Related Work -- 3 Our Proposal -- 3.1 Contexts Preparation -- 3.2 Text Chunk Retrieval -- 4 Results and Discussion -- 4.1 Experimental Setup -- 4.2 Datasets -- 4.3 Metrics -- 4.4 Experiments -- 5 Conclusion -- References -- Conceptual Modelling and Ontologies -- An Ontology-Driven Solution for Capturing Spatial and Temporal Dynamics in Smart Agriculture."]
[{"$nulls":4},"1 Introduction -- 2 State of the Art -- 3 AGROTS Ontology -- 4 Creating the Knowledge Base -- 5 Ontology Evaluation -- 5.1 Validation Step -- 5.2 Verification Step -- 6 System Architecture -- 7 Conclusions and Future Improvements -- References -- A Knowledge Graph-Based Decision Support System for Resilient Supply Chain Networks -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Challenge of Designing Resilient Supply Chain Networks -- 5 Knowledge Graph Schema for Resilient Supply Chain Networks -- 6 Implementation of the Knowledge Graph Schema for RASSA -- 6.1 Instances -- 6.2 Automatic Reasoning for Manufacturing Risk -- 6.3 Automatic Reasoning for Supply Risk -- 6.4 Automatic Reasoning for Total Risk Propagated Per Supply Chain Node -- 6.5 Automatic Reasoning for Value at Risk -- 7 Findings and Discussion -- 8 Conclusion and Outlook -- References -- A Conceptual Model of Digital Immune System to Increase the Resilience of Technology Ecosystems -- 1 Introduction -- 2 Approach -- 3 Background and Requirements Towards Digital Immune System -- 3.1 ISO 22301:2019 -- 3.2 ISO/IEC 27001:2022 -- 3.3 The NIST Cybersecurity Framework -- 3.4 European Union Initiatives -- 4 Challenges of IT Resilience, Business Continuity and Managing Techniques -- 4.1 Challenges of IT Resilience and Business Continuity -- 4.2 The Techniques for Monitoring and Managing the Resilience -- 5 Framework and Evaluation -- 5.1 Framework for the Evaluation of Digital Immune System -- 5.2 Case Study -- 6 Discussion and Conclusion -- References -- Requirements and Architecture -- Dealing with Emotional Requirements for Software Ecosystems: Findings and Lessons Learned in the PHArA-ON Project -- 1 Introduction -- 2 The PHArA-ON Project -- 3 A Process for Engineering Emotional Requirements."]
[{"$nulls":4},"4 Applying the Process for Engineering the Emotional Requirements for the PHArA-ON Ecosystem -- 5 Findings and Lessons Learned -- 6 Related Work -- 7 Conclusions and Future Work -- References -- A Tertiary Study on Quality in Use Evaluation of Smart Environment Applications -- 1 Introduction -- 2 Background -- 3 The Tertiary Study -- 3.1 Planning: Research Protocol -- 3.2 Execution -- 4 Discussion of the Results -- 4.1 RQ1. What Are the Most Common Evaluation Approaches for QinU? -- 4.2 RQ2: What Are the Most Evaluated Types of Systems? -- 4.3 RQ3: Which Quality Characteristics Were the Most Evaluated? -- 5 Threats to Validity -- 6 Final Remarks -- References -- A Reference Architecture for Dry Port Digital Twins: Preliminary Assessment Using ArchiMate -- 1 Introduction -- 2 Methodology -- 3 "]
[{"$nulls":4},"Literature Review -- 3.1 Digital Twins in Ports -- 3.2 Foundations of Enterprise Architecture -- 3.3 How EA Shapes the Current Advances of Smart Spaces -- 4 Dry Port Digital Twin Architecture -- 4.1 Key Applications -- 4.2 Requirements Identification -- 4.3 Preliminary TO-BE Architecture -- 4.4 Summative Evaluation of the Dry Port Digital Twin Architecture -- 5 Conclusion -- References -- Business Process Management -- Enhancing the Accuracy of Predictors of Activity Sequences of Business Processes -- 1 Introduction -- 2 Related Work -- 3 Daemon Action Approach -- 4 Experiment Design -- 4.1 Questions -- 4.2 Datasets -- 4.3 Experiment Setup -- 5 Results -- 6 Discussion -- 7 Conclusion and Future Work -- References -- Which Legal Requirements are Relevant to a Business Process? Comparing AI-Driven Methods as Expert Aid -- 1 Motivation -- 2 Approach -- 2.1 Analyzed Aspects -- 2.2 Method Analysis -- 3 Implementation -- 3.1 Expert Analysis -- 3.2 SOTA NLP LIR -- 3.3 GPT-4 -- 4 Evaluation -- 4.1 Results -- 4.2 Comparison -- 5 Discussion -- 5.1 Implications."]
[{"$nulls":4},"5.2 Limitations -- 6 Related Work -- 7 Conclusion -- References -- Conversational Systems for AI-Augmented Business Process Management -- 1 Introduction -- 2 Background on Conversational Systems -- 3 Search Protocol -- 4 Descriptive Process Analytics -- 5 Predictive Process Analytics -- 6 Prescriptive Process Optimization -- 7 Augmented Process Execution -- 8 Related Work -- 9 Threats to Validity and Concluding Remarks -- References -- Data and Process Science -- TimeFlows: Visualizing Process Chronologies from Vast Collections of Heterogeneous Information Objects -- 1 Introduction -- 2 Literature Review -- 3 Research Method -- 3.1 Interviewee Groups -- 3.2 Semi-structured Interviews -- 4 Constructing Process Chronologies -- 4.1 Situationalized Process Chronologies -- 4.2 Identified Relations Used in Document Analysis -- 5 Visualizing TimeFlows -- 5.1 TimeFlows to Visualize Process Chronologies -- 5.2 An Illustrative Example -- 6 Further Research: Challenges -- 7 Conclusion -- References -- Imposing Rules in Process Discovery: An Inductive Mining Approach -- 1 Introduction -- 2 Related Work -- 3 Motivating Examples -- 4 Preliminaries -- 5 Inductive Miner with Rules (IMr) -- 5.1 The Set of Rules -- 5.2 Candidate Cuts Pruning -- 6 Evaluation -- 6.1 Real-Life Event Logs -- 6.2 Case Study UWV -- 7 Open Challenges -- 8 Conclusion -- References -- An Approach for Discovering Data-Driven Object Lifecycle Processes -- 1 Introduction -- 2 Fundamentals -- 3 Proposed Approach -- 4 Object Lifecycle Process Discovery -- 4.1 Discovering Object Behavior on State Level -- 4.2 Discovering Object Behavior on Step Level -- 4.3 Algorithm Selection -- 4.4 Combining State and Step Level -- 5 Evaluation -- 5.1 Scenario 1: Human Resource Management -- 5.2 Scenario 2: E-Learning (Phoodle) -- 5.3 Scenario 3: SAP Procure-to-Pay -- 5.4 Footprint Comparison."]
[{"$nulls":4},"5.5 Threats to Validity -- 6 Related Work -- 7 Summary and Outlook -- References -- Security -- US4USec: A User Story Model for Usable Security -- 1 Introduction -- 2 Research Method -- 3 Identifying Best Practices for Constructing the US4USec Model via an SLR -- 4 Deriving Key Requirements for Constructing the US4USec Model -- 5 Constructing the US4USec Model -- 6 Evaluating the US4USec Model -- 7 Threats to Validity -- 8 Conclusion and Future Work -- References -- Do Cialdini's Persuasion Principles Still Influence Trust and Risk-Taking When Social Engineering is Knowingly Possible? -- 1 Introduction -- 2 Methodology -- 2.1 Recruitment and Data Collection -- 2.2 Measures -- 2.3 Data Analysis -- 3 Results -- 3.1 Descriptive Statistics -- 3.2 Impact of Cialdini's Persuasion Principles on App Installation and Trust -- 3.3 Security Attitude Vs. Risk Taking and Trust Under Cialdini's Principles -- 4 Discussion -- 5 Conclusion -- References -- Classifying "]
[{"$nulls":4},"Healthcare and Social Organizations in Cybersecurity Profiles -- 1 Introduction -- 2 Background -- 2.1 Definitions -- 2.2 Prior Studies -- 2.3 Cybersecurity Measures -- 3 Methodology -- 3.1 Data Collection -- 3.2 Classification Approach for RQ1 -- 3.3 ANOVA Approach for RQ2 -- 4 Results -- 4.1 Classification of Healthcare and Social Organizations (RQ1) -- 4.2 Differences Between the Cybersecurity Profiles (RQ2) -- 5 Discussion -- 5.1 Scientific Contributions -- 5.2 Practical Implications -- 5.3 Research Limitation and Future Research Directions -- 6 Conclusion -- References -- Sustainability -- A Reference Architecture for Digital Product Passports at Batch Level to Support Manufacturing Supply Chains -- 1 Introduction -- 2 Towards Sustainable Manufacturing Supply Chains -- 3 Component-Based Digital Product Passport -- 3.1 Architectural Analysis of Manufacturing Supply Chain."]
[{"$nulls":4},"3.2 DPP Information Model and Requirements."]
[null,null,null,"Sommario/riassunto","This book constitutes the proceedings of the 18th International Conference on Research Challenges in Information Sciences, RCIS 2024, which took place in Guimarães, Portugal, during May 2024. The scope of RCIS is summarized by the thematic areas of information systems and their engineering. The 25 full papers, 12 Forum and 5 Doctoral Consortium papers included in these proceedings were carefully reviewed and selected from 100 submissions. They were organized in topical sections as follows: Part I: Data and information management; conceptual modelling and ontologies; requirements and architecture; business process management; data and process science; security; sustainability; evaluation and experience studies Part II: Forum papers; doctoral consortium papers."]