Web Information Systems and Technologies: 18th International Conference, WEBIST 2022, Valletta, Malta, October 25-27, 2022, Revised Selected Papers
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
2023
|
| Ausgabe: | 1st ed |
| Schriftenreihe: | Lecture Notes in Business Information Processing Series
v.494 |
| Schlagworte: | |
| Online-Zugang: | DE-2070s |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource (272 Seiten) |
| ISBN: | 9783031430886 |
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| 505 | 8 | |a Intro -- Preface -- Organization -- Contents -- Automated SLR with a Few Labeled Papers and a Fair Workload Metric -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Dataset -- 3.2 Model Architecture -- 3.3 Training Framework -- 3.4 WSS and AWSS Derivation -- 4 Split 50-50 Experiment -- 5 Benchmarks Experiment -- 6 Ablation Experiments -- 6.1 Transformer Layers -- 6.2 Number of Inner Epochs -- 6.3 Number of Training Examples -- 7 Discussion -- 8 Final Considerations -- References -- Shift Toward Value-Based Learning: Applying Agile Approaches in Higher Education -- 1 Introduction -- 2 Background and Related Work -- 2.1 Agile Methods and Agile Practices -- 2.2 Didactic Concepts and Related Work -- 3 Research Methodology -- 3.1 Case Study 1 - Berlin University of Applied Sciences -- 3.2 Case Study 2 - HAW Hamburg -- 3.3 Case Study 3 - University of Applied Sciences Emden/Leer -- 3.4 Data Collection and Analysis -- 4 Case Study Results -- 4.1 Case Study 1 - Berlin University of Applied Sciences -- 4.2 Case Study 2 - HAW Hamburg -- 4.3 Case Study 3 - University of Applied Sciences Emden/Leer -- 5 Discussion -- 5.1 How Can Value-Based Learning Be Implemented in Higher Education Through Agile Practices and Agile Values? -- 5.2 Critical Review and Limitations -- 6 Conclusion and Future Work -- References -- Improving the Representation Choices of Privacy Policies for End-Users -- 1 Introduction -- 2 Background and Related Work -- 3 Process and Representation Approaches -- 3.1 Text Pre-processing -- 3.2 Text Representations -- 4 Privacy Policy Beautifier Demonstration -- 5 User Evaluation -- 5.1 User Views on Usability -- 5.2 User Views on Policy Representations -- 6 Threats to Validity -- 7 Conclusions -- References -- Scaffolding Process-Aware Information Systems with the AKIP Platform -- 1 Introduction -- 2 Background | |
| 505 | 8 | |a 2.1 Business Process Automation -- 2.2 Metrics for BPMN Process Models -- 3 Related Work -- 4 Platform Overview -- 4.1 KIPApp -- 4.2 Application Generator -- 4.3 Reference Architecture -- 4.4 Technical Notes -- 5 Platform Walk-Through -- 5.1 Generating a KIPApp -- 5.2 Implementing a Business Process -- 5.3 Deploying a Business Process into a KIPApp -- 6 Using a KIPApp -- 7 Case Study -- 7.1 Goal -- 7.2 Subject Data -- 7.3 Procedure -- 7.4 Results -- 7.5 Discussion -- 7.6 Threats to Validity -- 8 Conclusions and Future Work -- References -- Grammar-Based Question Classification Using Ensemble Learning Algorithms -- 1 Introduction -- 2 Related Work -- 3 Grammar-Based Ensemble Learning Approach -- 3.1 Dataset -- 3.2 Question Grammatical Structure -- 3.3 Question Types Identification -- 4 Experimental Study and Results -- 5 Conclusions and Future Work -- References -- Leveraging Transfer Learning for Long Text Classification with Limited Data -- 1 Introduction -- 2 Related Work -- 2.1 Deep Learning Models -- 2.2 Long Texts -- 2.3 Few-Shot Learning -- 2.4 Transfer Learning -- 2.5 Research Financing Opportunities -- 2.6 Section Overview -- 3 Datasets -- 4 Methodology and Implementation -- 4.1 Related Project -- 4.2 Vector Representations -- 4.3 Classification Models -- 4.4 Pre-processing -- 4.5 Classifying FPP-Extended -- 5 Experiments and Results -- 5.1 Pre-processing -- 5.2 Classifying FPP-Extended -- 6 Discussions -- 7 Final Considerations -- References -- Integrating Linguistic and Citation Information with Transformer for Predicting Top-Cited Papers*-5pt -- 1 Introduction -- 2 Related Work -- 2.1 Transformer Model for Scholarly Data -- 2.2 The Influence of Scholarly Literature -- 3 Proposed Method -- 3.1 Linguistic or Citation Information? -- 3.2 Fusion Transformer Model of Linguistic and Citation Information -- 4 Experiments | |
| 505 | 8 | |a 4.1 Scientific Literature Dataset -- 4.2 Classification Problem Setup and Conditions -- 5 Results -- 6 Discussion -- 6.1 The Stability of Learning -- 6.2 Comparative Analysis -- 7 Conclusion -- A Queries from Web of Science -- B Network and Linguistic Features for Each Dataset -- C Result for Each Dataset -- References -- Soft Web Intelligence with the J-CO Framework -- 1 Introduction -- 2 Background -- 3 Vision: Soft Web Intelligence -- 4 The J-CO Framework -- 4.1 Organization of the Framework -- 4.2 J-CO-DS -- 4.3 J-CO-BATCH -- 5 Soft Web Intelligence: A Practical Case Study -- 5.1 Case Study -- 5.2 Defining a Dynamic Collection Gathering Data About COVID-19 Pandemic -- 5.3 Repeated Scheduled Pre-Processing -- 5.4 Template for Soft Querying Data -- 6 Conclusions -- References -- An NLP Approach to Understand the Top Ranked Higher Education Institutions' Social Media Communication Strategy -- 1 Introduction -- 2 Data Retrieval -- 3 Data Analysis -- 4 Grouping the Strategies -- 4.1 The Feature Space Vector Model -- 4.2 Clustering the HEI -- 4.3 Analysis of the Results -- 5 Conclusions -- References -- Influence of Demographic Variables and Usage Behaviour on the Perceived User Experience -- 1 Introduction -- 2 UX Questionnaires -- 2.1 System Usability Scale (SUS) -- 2.2 Short Form of Usability Metric for User Experience (UMUX-LITE) -- 2.3 Short Form of the User Experience Questionnaire (UEQ-S) -- 2.4 Differences Between the Three Questionnaires -- 3 Interindividual Differences in the Perception of UX -- 4 Methodology -- 4.1 First Study: Netflix, PPT, BBB and Zoom -- 4.2 Second Study: TikTok and PayPal -- 5 Results -- 5.1 Rating of the Products -- 5.2 Impact of Gender -- 5.3 Impact of Usage Frequency -- 5.4 Impact of Knowledge -- 5.5 Impact of Duration of Use -- 6 Discussion -- 6.1 External Influencing Factors | |
| 505 | 8 | |a 6.2 Influences on Pragmatic and Hedonic Qualities -- 7 Summary and Future Work -- References -- Categorizing UX Aspects for Voice User Interfaces Using the Kano Model -- 1 Introduction -- 2 Background and Related Work -- 2.1 UX of VUIs -- 2.2 Mixed-Methods Approach -- 2.3 Kano Categorization -- 3 Methodology -- 3.1 Identification of UX Aspects for VUIs -- 3.2 Kano Categorization of UX Aspects for VUIs -- 4 Results -- 4.1 UX Aspects for VUIs -- 4.2 Categorization of UX Aspects -- 5 Discussion -- 6 Conclusion and Future Work -- References -- How We Evaluate the Accessibility of an Infographic: A Pilot Study Through SUS Questionnaire -- 1 Introduction -- 2 Infodemic and Data Visualization: The Context -- 2.1 Living in a Visual Environment -- 2.2 Encoding Visual Artifacts -- 3 The Accessibility Issue of Data Visualization -- 3.1 The False Myth of the Universal [Visual] Language -- 3.2 The Aesthetic Bias -- 4 Data Visualization and Accessibility: A Pilot Studio -- 4.1 Methods and Design of the Research -- 4.2 Preliminary Results -- 5 Conclusion -- References -- Evaluating the Quality Characteristics of Space Geeks -- 1 Introduction -- 2 Identifying Students Misconceptions About Arrays -- 2.1 Survey Results -- 3 Designing Space Geeks -- 3.1 Hero and Narrative -- 3.2 Curriculum Alignment -- 3.3 Engagement and Interactivity -- 3.4 Mastery and Skill Development -- 3.5 Familiar Interactions -- 3.6 Character Animation -- 3.7 Purposeful Animation -- 4 Serious Games Evaluation -- 5 Evaluating the Quality Characteristics of Space Geeks -- 5.1 The Five-Dimensional Evaluation Framework -- 5.2 The Evaluation -- 6 Conclusion -- References -- Author Index | |
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Datensatz im Suchindex
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| author | Marchiori, Massimo |
| author_facet | Marchiori, Massimo |
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| contents | Intro -- Preface -- Organization -- Contents -- Automated SLR with a Few Labeled Papers and a Fair Workload Metric -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Dataset -- 3.2 Model Architecture -- 3.3 Training Framework -- 3.4 WSS and AWSS Derivation -- 4 Split 50-50 Experiment -- 5 Benchmarks Experiment -- 6 Ablation Experiments -- 6.1 Transformer Layers -- 6.2 Number of Inner Epochs -- 6.3 Number of Training Examples -- 7 Discussion -- 8 Final Considerations -- References -- Shift Toward Value-Based Learning: Applying Agile Approaches in Higher Education -- 1 Introduction -- 2 Background and Related Work -- 2.1 Agile Methods and Agile Practices -- 2.2 Didactic Concepts and Related Work -- 3 Research Methodology -- 3.1 Case Study 1 - Berlin University of Applied Sciences -- 3.2 Case Study 2 - HAW Hamburg -- 3.3 Case Study 3 - University of Applied Sciences Emden/Leer -- 3.4 Data Collection and Analysis -- 4 Case Study Results -- 4.1 Case Study 1 - Berlin University of Applied Sciences -- 4.2 Case Study 2 - HAW Hamburg -- 4.3 Case Study 3 - University of Applied Sciences Emden/Leer -- 5 Discussion -- 5.1 How Can Value-Based Learning Be Implemented in Higher Education Through Agile Practices and Agile Values? -- 5.2 Critical Review and Limitations -- 6 Conclusion and Future Work -- References -- Improving the Representation Choices of Privacy Policies for End-Users -- 1 Introduction -- 2 Background and Related Work -- 3 Process and Representation Approaches -- 3.1 Text Pre-processing -- 3.2 Text Representations -- 4 Privacy Policy Beautifier Demonstration -- 5 User Evaluation -- 5.1 User Views on Usability -- 5.2 User Views on Policy Representations -- 6 Threats to Validity -- 7 Conclusions -- References -- Scaffolding Process-Aware Information Systems with the AKIP Platform -- 1 Introduction -- 2 Background 2.1 Business Process Automation -- 2.2 Metrics for BPMN Process Models -- 3 Related Work -- 4 Platform Overview -- 4.1 KIPApp -- 4.2 Application Generator -- 4.3 Reference Architecture -- 4.4 Technical Notes -- 5 Platform Walk-Through -- 5.1 Generating a KIPApp -- 5.2 Implementing a Business Process -- 5.3 Deploying a Business Process into a KIPApp -- 6 Using a KIPApp -- 7 Case Study -- 7.1 Goal -- 7.2 Subject Data -- 7.3 Procedure -- 7.4 Results -- 7.5 Discussion -- 7.6 Threats to Validity -- 8 Conclusions and Future Work -- References -- Grammar-Based Question Classification Using Ensemble Learning Algorithms -- 1 Introduction -- 2 Related Work -- 3 Grammar-Based Ensemble Learning Approach -- 3.1 Dataset -- 3.2 Question Grammatical Structure -- 3.3 Question Types Identification -- 4 Experimental Study and Results -- 5 Conclusions and Future Work -- References -- Leveraging Transfer Learning for Long Text Classification with Limited Data -- 1 Introduction -- 2 Related Work -- 2.1 Deep Learning Models -- 2.2 Long Texts -- 2.3 Few-Shot Learning -- 2.4 Transfer Learning -- 2.5 Research Financing Opportunities -- 2.6 Section Overview -- 3 Datasets -- 4 Methodology and Implementation -- 4.1 Related Project -- 4.2 Vector Representations -- 4.3 Classification Models -- 4.4 Pre-processing -- 4.5 Classifying FPP-Extended -- 5 Experiments and Results -- 5.1 Pre-processing -- 5.2 Classifying FPP-Extended -- 6 Discussions -- 7 Final Considerations -- References -- Integrating Linguistic and Citation Information with Transformer for Predicting Top-Cited Papers*-5pt -- 1 Introduction -- 2 Related Work -- 2.1 Transformer Model for Scholarly Data -- 2.2 The Influence of Scholarly Literature -- 3 Proposed Method -- 3.1 Linguistic or Citation Information? -- 3.2 Fusion Transformer Model of Linguistic and Citation Information -- 4 Experiments 4.1 Scientific Literature Dataset -- 4.2 Classification Problem Setup and Conditions -- 5 Results -- 6 Discussion -- 6.1 The Stability of Learning -- 6.2 Comparative Analysis -- 7 Conclusion -- A Queries from Web of Science -- B Network and Linguistic Features for Each Dataset -- C Result for Each Dataset -- References -- Soft Web Intelligence with the J-CO Framework -- 1 Introduction -- 2 Background -- 3 Vision: Soft Web Intelligence -- 4 The J-CO Framework -- 4.1 Organization of the Framework -- 4.2 J-CO-DS -- 4.3 J-CO-BATCH -- 5 Soft Web Intelligence: A Practical Case Study -- 5.1 Case Study -- 5.2 Defining a Dynamic Collection Gathering Data About COVID-19 Pandemic -- 5.3 Repeated Scheduled Pre-Processing -- 5.4 Template for Soft Querying Data -- 6 Conclusions -- References -- An NLP Approach to Understand the Top Ranked Higher Education Institutions' Social Media Communication Strategy -- 1 Introduction -- 2 Data Retrieval -- 3 Data Analysis -- 4 Grouping the Strategies -- 4.1 The Feature Space Vector Model -- 4.2 Clustering the HEI -- 4.3 Analysis of the Results -- 5 Conclusions -- References -- Influence of Demographic Variables and Usage Behaviour on the Perceived User Experience -- 1 Introduction -- 2 UX Questionnaires -- 2.1 System Usability Scale (SUS) -- 2.2 Short Form of Usability Metric for User Experience (UMUX-LITE) -- 2.3 Short Form of the User Experience Questionnaire (UEQ-S) -- 2.4 Differences Between the Three Questionnaires -- 3 Interindividual Differences in the Perception of UX -- 4 Methodology -- 4.1 First Study: Netflix, PPT, BBB and Zoom -- 4.2 Second Study: TikTok and PayPal -- 5 Results -- 5.1 Rating of the Products -- 5.2 Impact of Gender -- 5.3 Impact of Usage Frequency -- 5.4 Impact of Knowledge -- 5.5 Impact of Duration of Use -- 6 Discussion -- 6.1 External Influencing Factors 6.2 Influences on Pragmatic and Hedonic Qualities -- 7 Summary and Future Work -- References -- Categorizing UX Aspects for Voice User Interfaces Using the Kano Model -- 1 Introduction -- 2 Background and Related Work -- 2.1 UX of VUIs -- 2.2 Mixed-Methods Approach -- 2.3 Kano Categorization -- 3 Methodology -- 3.1 Identification of UX Aspects for VUIs -- 3.2 Kano Categorization of UX Aspects for VUIs -- 4 Results -- 4.1 UX Aspects for VUIs -- 4.2 Categorization of UX Aspects -- 5 Discussion -- 6 Conclusion and Future Work -- References -- How We Evaluate the Accessibility of an Infographic: A Pilot Study Through SUS Questionnaire -- 1 Introduction -- 2 Infodemic and Data Visualization: The Context -- 2.1 Living in a Visual Environment -- 2.2 Encoding Visual Artifacts -- 3 The Accessibility Issue of Data Visualization -- 3.1 The False Myth of the Universal [Visual] Language -- 3.2 The Aesthetic Bias -- 4 Data Visualization and Accessibility: A Pilot Studio -- 4.1 Methods and Design of the Research -- 4.2 Preliminary Results -- 5 Conclusion -- References -- Evaluating the Quality Characteristics of Space Geeks -- 1 Introduction -- 2 Identifying Students Misconceptions About Arrays -- 2.1 Survey Results -- 3 Designing Space Geeks -- 3.1 Hero and Narrative -- 3.2 Curriculum Alignment -- 3.3 Engagement and Interactivity -- 3.4 Mastery and Skill Development -- 3.5 Familiar Interactions -- 3.6 Character Animation -- 3.7 Purposeful Animation -- 4 Serious Games Evaluation -- 5 Evaluating the Quality Characteristics of Space Geeks -- 5.1 The Five-Dimensional Evaluation Framework -- 5.2 The Evaluation -- 6 Conclusion -- References -- Author Index |
| ctrlnum | (ZDB-30-PQE)EBC30722847 (ZDB-30-PAD)EBC30722847 (ZDB-89-EBL)EBL30722847 (OCoLC)1396224821 (DE-599)BVBBV050100580 |
| dewey-full | 004 |
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| dewey-raw | 004 |
| dewey-search | 004 |
| dewey-sort | 14 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Wirtschaftswissenschaften |
| edition | 1st ed |
| format | Electronic eBook |
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Higher Education Institutions' Social Media Communication Strategy -- 1 Introduction -- 2 Data Retrieval -- 3 Data Analysis -- 4 Grouping the Strategies -- 4.1 The Feature Space Vector Model -- 4.2 Clustering the HEI -- 4.3 Analysis of the Results -- 5 Conclusions -- References -- Influence of Demographic Variables and Usage Behaviour on the Perceived User Experience -- 1 Introduction -- 2 UX Questionnaires -- 2.1 System Usability Scale (SUS) -- 2.2 Short Form of Usability Metric for User Experience (UMUX-LITE) -- 2.3 Short Form of the User Experience Questionnaire (UEQ-S) -- 2.4 Differences Between the Three Questionnaires -- 3 Interindividual Differences in the Perception of UX -- 4 Methodology -- 4.1 First Study: Netflix, PPT, BBB and Zoom -- 4.2 Second Study: TikTok and PayPal -- 5 Results -- 5.1 Rating of the Products -- 5.2 Impact of Gender -- 5.3 Impact of Usage Frequency -- 5.4 Impact of Knowledge -- 5.5 Impact of Duration of Use -- 6 Discussion -- 6.1 External Influencing Factors</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">6.2 Influences on Pragmatic and Hedonic Qualities -- 7 Summary and Future Work -- References -- Categorizing UX Aspects for Voice User Interfaces Using the Kano Model -- 1 Introduction -- 2 Background and Related Work -- 2.1 UX of VUIs -- 2.2 Mixed-Methods Approach -- 2.3 Kano Categorization -- 3 Methodology -- 3.1 Identification of UX Aspects for VUIs -- 3.2 Kano Categorization of UX Aspects for VUIs -- 4 Results -- 4.1 UX Aspects for VUIs -- 4.2 Categorization of UX Aspects -- 5 Discussion -- 6 Conclusion and Future Work -- References -- How We Evaluate the Accessibility of an Infographic: A Pilot Study Through SUS Questionnaire -- 1 Introduction -- 2 Infodemic and Data Visualization: The Context -- 2.1 Living in a Visual Environment -- 2.2 Encoding Visual Artifacts -- 3 The Accessibility Issue of Data Visualization -- 3.1 The False Myth of the Universal [Visual] Language -- 3.2 The Aesthetic Bias 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| genre | (DE-588)1071861417 Konferenzschrift 2022 Valletta gnd-content |
| genre_facet | Konferenzschrift 2022 Valletta |
| id | DE-604.BV050100580 |
| illustrated | Not Illustrated |
| indexdate | 2025-01-10T19:01:53Z |
| institution | BVB |
| isbn | 9783031430886 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035437742 |
| oclc_num | 1396224821 |
| open_access_boolean | |
| owner | DE-2070s |
| owner_facet | DE-2070s |
| physical | 1 Online-Ressource (272 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE HWR_PDA_PQE |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Springer |
| record_format | marc |
| series2 | Lecture Notes in Business Information Processing Series |
| spelling | Marchiori, Massimo Verfasser aut Web Information Systems and Technologies 18th International Conference, WEBIST 2022, Valletta, Malta, October 25-27, 2022, Revised Selected Papers 1st ed Cham Springer 2023 ©2023 1 Online-Ressource (272 Seiten) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Business Information Processing Series v.494 Description based on publisher supplied metadata and other sources Intro -- Preface -- Organization -- Contents -- Automated SLR with a Few Labeled Papers and a Fair Workload Metric -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Dataset -- 3.2 Model Architecture -- 3.3 Training Framework -- 3.4 WSS and AWSS Derivation -- 4 Split 50-50 Experiment -- 5 Benchmarks Experiment -- 6 Ablation Experiments -- 6.1 Transformer Layers -- 6.2 Number of Inner Epochs -- 6.3 Number of Training Examples -- 7 Discussion -- 8 Final Considerations -- References -- Shift Toward Value-Based Learning: Applying Agile Approaches in Higher Education -- 1 Introduction -- 2 Background and Related Work -- 2.1 Agile Methods and Agile Practices -- 2.2 Didactic Concepts and Related Work -- 3 Research Methodology -- 3.1 Case Study 1 - Berlin University of Applied Sciences -- 3.2 Case Study 2 - HAW Hamburg -- 3.3 Case Study 3 - University of Applied Sciences Emden/Leer -- 3.4 Data Collection and Analysis -- 4 Case Study Results -- 4.1 Case Study 1 - Berlin University of Applied Sciences -- 4.2 Case Study 2 - HAW Hamburg -- 4.3 Case Study 3 - University of Applied Sciences Emden/Leer -- 5 Discussion -- 5.1 How Can Value-Based Learning Be Implemented in Higher Education Through Agile Practices and Agile Values? -- 5.2 Critical Review and Limitations -- 6 Conclusion and Future Work -- References -- Improving the Representation Choices of Privacy Policies for End-Users -- 1 Introduction -- 2 Background and Related Work -- 3 Process and Representation Approaches -- 3.1 Text Pre-processing -- 3.2 Text Representations -- 4 Privacy Policy Beautifier Demonstration -- 5 User Evaluation -- 5.1 User Views on Usability -- 5.2 User Views on Policy Representations -- 6 Threats to Validity -- 7 Conclusions -- References -- Scaffolding Process-Aware Information Systems with the AKIP Platform -- 1 Introduction -- 2 Background 2.1 Business Process Automation -- 2.2 Metrics for BPMN Process Models -- 3 Related Work -- 4 Platform Overview -- 4.1 KIPApp -- 4.2 Application Generator -- 4.3 Reference Architecture -- 4.4 Technical Notes -- 5 Platform Walk-Through -- 5.1 Generating a KIPApp -- 5.2 Implementing a Business Process -- 5.3 Deploying a Business Process into a KIPApp -- 6 Using a KIPApp -- 7 Case Study -- 7.1 Goal -- 7.2 Subject Data -- 7.3 Procedure -- 7.4 Results -- 7.5 Discussion -- 7.6 Threats to Validity -- 8 Conclusions and Future Work -- References -- Grammar-Based Question Classification Using Ensemble Learning Algorithms -- 1 Introduction -- 2 Related Work -- 3 Grammar-Based Ensemble Learning Approach -- 3.1 Dataset -- 3.2 Question Grammatical Structure -- 3.3 Question Types Identification -- 4 Experimental Study and Results -- 5 Conclusions and Future Work -- References -- Leveraging Transfer Learning for Long Text Classification with Limited Data -- 1 Introduction -- 2 Related Work -- 2.1 Deep Learning Models -- 2.2 Long Texts -- 2.3 Few-Shot Learning -- 2.4 Transfer Learning -- 2.5 Research Financing Opportunities -- 2.6 Section Overview -- 3 Datasets -- 4 Methodology and Implementation -- 4.1 Related Project -- 4.2 Vector Representations -- 4.3 Classification Models -- 4.4 Pre-processing -- 4.5 Classifying FPP-Extended -- 5 Experiments and Results -- 5.1 Pre-processing -- 5.2 Classifying FPP-Extended -- 6 Discussions -- 7 Final Considerations -- References -- Integrating Linguistic and Citation Information with Transformer for Predicting Top-Cited Papers*-5pt -- 1 Introduction -- 2 Related Work -- 2.1 Transformer Model for Scholarly Data -- 2.2 The Influence of Scholarly Literature -- 3 Proposed Method -- 3.1 Linguistic or Citation Information? -- 3.2 Fusion Transformer Model of Linguistic and Citation Information -- 4 Experiments 4.1 Scientific Literature Dataset -- 4.2 Classification Problem Setup and Conditions -- 5 Results -- 6 Discussion -- 6.1 The Stability of Learning -- 6.2 Comparative Analysis -- 7 Conclusion -- A Queries from Web of Science -- B Network and Linguistic Features for Each Dataset -- C Result for Each Dataset -- References -- Soft Web Intelligence with the J-CO Framework -- 1 Introduction -- 2 Background -- 3 Vision: Soft Web Intelligence -- 4 The J-CO Framework -- 4.1 Organization of the Framework -- 4.2 J-CO-DS -- 4.3 J-CO-BATCH -- 5 Soft Web Intelligence: A Practical Case Study -- 5.1 Case Study -- 5.2 Defining a Dynamic Collection Gathering Data About COVID-19 Pandemic -- 5.3 Repeated Scheduled Pre-Processing -- 5.4 Template for Soft Querying Data -- 6 Conclusions -- References -- An NLP Approach to Understand the Top Ranked Higher Education Institutions' Social Media Communication Strategy -- 1 Introduction -- 2 Data Retrieval -- 3 Data Analysis -- 4 Grouping the Strategies -- 4.1 The Feature Space Vector Model -- 4.2 Clustering the HEI -- 4.3 Analysis of the Results -- 5 Conclusions -- References -- Influence of Demographic Variables and Usage Behaviour on the Perceived User Experience -- 1 Introduction -- 2 UX Questionnaires -- 2.1 System Usability Scale (SUS) -- 2.2 Short Form of Usability Metric for User Experience (UMUX-LITE) -- 2.3 Short Form of the User Experience Questionnaire (UEQ-S) -- 2.4 Differences Between the Three Questionnaires -- 3 Interindividual Differences in the Perception of UX -- 4 Methodology -- 4.1 First Study: Netflix, PPT, BBB and Zoom -- 4.2 Second Study: TikTok and PayPal -- 5 Results -- 5.1 Rating of the Products -- 5.2 Impact of Gender -- 5.3 Impact of Usage Frequency -- 5.4 Impact of Knowledge -- 5.5 Impact of Duration of Use -- 6 Discussion -- 6.1 External Influencing Factors 6.2 Influences on Pragmatic and Hedonic Qualities -- 7 Summary and Future Work -- References -- Categorizing UX Aspects for Voice User Interfaces Using the Kano Model -- 1 Introduction -- 2 Background and Related Work -- 2.1 UX of VUIs -- 2.2 Mixed-Methods Approach -- 2.3 Kano Categorization -- 3 Methodology -- 3.1 Identification of UX Aspects for VUIs -- 3.2 Kano Categorization of UX Aspects for VUIs -- 4 Results -- 4.1 UX Aspects for VUIs -- 4.2 Categorization of UX Aspects -- 5 Discussion -- 6 Conclusion and Future Work -- References -- How We Evaluate the Accessibility of an Infographic: A Pilot Study Through SUS Questionnaire -- 1 Introduction -- 2 Infodemic and Data Visualization: The Context -- 2.1 Living in a Visual Environment -- 2.2 Encoding Visual Artifacts -- 3 The Accessibility Issue of Data Visualization -- 3.1 The False Myth of the Universal [Visual] Language -- 3.2 The Aesthetic Bias -- 4 Data Visualization and Accessibility: A Pilot Studio -- 4.1 Methods and Design of the Research -- 4.2 Preliminary Results -- 5 Conclusion -- References -- Evaluating the Quality Characteristics of Space Geeks -- 1 Introduction -- 2 Identifying Students Misconceptions About Arrays -- 2.1 Survey Results -- 3 Designing Space Geeks -- 3.1 Hero and Narrative -- 3.2 Curriculum Alignment -- 3.3 Engagement and Interactivity -- 3.4 Mastery and Skill Development -- 3.5 Familiar Interactions -- 3.6 Character Animation -- 3.7 Purposeful Animation -- 4 Serious Games Evaluation -- 5 Evaluating the Quality Characteristics of Space Geeks -- 5.1 The Five-Dimensional Evaluation Framework -- 5.2 The Evaluation -- 6 Conclusion -- References -- Author Index World Wide Web (DE-588)4363898-3 gnd rswk-swf Anwendungssystem (DE-588)4139375-2 gnd rswk-swf Informationssystem (DE-588)4072806-7 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 2022 Valletta gnd-content Anwendungssystem (DE-588)4139375-2 s Informationssystem (DE-588)4072806-7 s World Wide Web (DE-588)4363898-3 s DE-604 Domínguez Mayo, Francisco José Sonstige oth Filipe, Joaquim Sonstige oth Erscheint auch als Druck-Ausgabe Marchiori, Massimo Web Information Systems and Technologies Cham : Springer,c2023 9783031430879 |
| spellingShingle | Marchiori, Massimo Web Information Systems and Technologies 18th International Conference, WEBIST 2022, Valletta, Malta, October 25-27, 2022, Revised Selected Papers Intro -- Preface -- Organization -- Contents -- Automated SLR with a Few Labeled Papers and a Fair Workload Metric -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Dataset -- 3.2 Model Architecture -- 3.3 Training Framework -- 3.4 WSS and AWSS Derivation -- 4 Split 50-50 Experiment -- 5 Benchmarks Experiment -- 6 Ablation Experiments -- 6.1 Transformer Layers -- 6.2 Number of Inner Epochs -- 6.3 Number of Training Examples -- 7 Discussion -- 8 Final Considerations -- References -- Shift Toward Value-Based Learning: Applying Agile Approaches in Higher Education -- 1 Introduction -- 2 Background and Related Work -- 2.1 Agile Methods and Agile Practices -- 2.2 Didactic Concepts and Related Work -- 3 Research Methodology -- 3.1 Case Study 1 - Berlin University of Applied Sciences -- 3.2 Case Study 2 - HAW Hamburg -- 3.3 Case Study 3 - University of Applied Sciences Emden/Leer -- 3.4 Data Collection and Analysis -- 4 Case Study Results -- 4.1 Case Study 1 - Berlin University of Applied Sciences -- 4.2 Case Study 2 - HAW Hamburg -- 4.3 Case Study 3 - University of Applied Sciences Emden/Leer -- 5 Discussion -- 5.1 How Can Value-Based Learning Be Implemented in Higher Education Through Agile Practices and Agile Values? -- 5.2 Critical Review and Limitations -- 6 Conclusion and Future Work -- References -- Improving the Representation Choices of Privacy Policies for End-Users -- 1 Introduction -- 2 Background and Related Work -- 3 Process and Representation Approaches -- 3.1 Text Pre-processing -- 3.2 Text Representations -- 4 Privacy Policy Beautifier Demonstration -- 5 User Evaluation -- 5.1 User Views on Usability -- 5.2 User Views on Policy Representations -- 6 Threats to Validity -- 7 Conclusions -- References -- Scaffolding Process-Aware Information Systems with the AKIP Platform -- 1 Introduction -- 2 Background 2.1 Business Process Automation -- 2.2 Metrics for BPMN Process Models -- 3 Related Work -- 4 Platform Overview -- 4.1 KIPApp -- 4.2 Application Generator -- 4.3 Reference Architecture -- 4.4 Technical Notes -- 5 Platform Walk-Through -- 5.1 Generating a KIPApp -- 5.2 Implementing a Business Process -- 5.3 Deploying a Business Process into a KIPApp -- 6 Using a KIPApp -- 7 Case Study -- 7.1 Goal -- 7.2 Subject Data -- 7.3 Procedure -- 7.4 Results -- 7.5 Discussion -- 7.6 Threats to Validity -- 8 Conclusions and Future Work -- References -- Grammar-Based Question Classification Using Ensemble Learning Algorithms -- 1 Introduction -- 2 Related Work -- 3 Grammar-Based Ensemble Learning Approach -- 3.1 Dataset -- 3.2 Question Grammatical Structure -- 3.3 Question Types Identification -- 4 Experimental Study and Results -- 5 Conclusions and Future Work -- References -- Leveraging Transfer Learning for Long Text Classification with Limited Data -- 1 Introduction -- 2 Related Work -- 2.1 Deep Learning Models -- 2.2 Long Texts -- 2.3 Few-Shot Learning -- 2.4 Transfer Learning -- 2.5 Research Financing Opportunities -- 2.6 Section Overview -- 3 Datasets -- 4 Methodology and Implementation -- 4.1 Related Project -- 4.2 Vector Representations -- 4.3 Classification Models -- 4.4 Pre-processing -- 4.5 Classifying FPP-Extended -- 5 Experiments and Results -- 5.1 Pre-processing -- 5.2 Classifying FPP-Extended -- 6 Discussions -- 7 Final Considerations -- References -- Integrating Linguistic and Citation Information with Transformer for Predicting Top-Cited Papers*-5pt -- 1 Introduction -- 2 Related Work -- 2.1 Transformer Model for Scholarly Data -- 2.2 The Influence of Scholarly Literature -- 3 Proposed Method -- 3.1 Linguistic or Citation Information? -- 3.2 Fusion Transformer Model of Linguistic and Citation Information -- 4 Experiments 4.1 Scientific Literature Dataset -- 4.2 Classification Problem Setup and Conditions -- 5 Results -- 6 Discussion -- 6.1 The Stability of Learning -- 6.2 Comparative Analysis -- 7 Conclusion -- A Queries from Web of Science -- B Network and Linguistic Features for Each Dataset -- C Result for Each Dataset -- References -- Soft Web Intelligence with the J-CO Framework -- 1 Introduction -- 2 Background -- 3 Vision: Soft Web Intelligence -- 4 The J-CO Framework -- 4.1 Organization of the Framework -- 4.2 J-CO-DS -- 4.3 J-CO-BATCH -- 5 Soft Web Intelligence: A Practical Case Study -- 5.1 Case Study -- 5.2 Defining a Dynamic Collection Gathering Data About COVID-19 Pandemic -- 5.3 Repeated Scheduled Pre-Processing -- 5.4 Template for Soft Querying Data -- 6 Conclusions -- References -- An NLP Approach to Understand the Top Ranked Higher Education Institutions' Social Media Communication Strategy -- 1 Introduction -- 2 Data Retrieval -- 3 Data Analysis -- 4 Grouping the Strategies -- 4.1 The Feature Space Vector Model -- 4.2 Clustering the HEI -- 4.3 Analysis of the Results -- 5 Conclusions -- References -- Influence of Demographic Variables and Usage Behaviour on the Perceived User Experience -- 1 Introduction -- 2 UX Questionnaires -- 2.1 System Usability Scale (SUS) -- 2.2 Short Form of Usability Metric for User Experience (UMUX-LITE) -- 2.3 Short Form of the User Experience Questionnaire (UEQ-S) -- 2.4 Differences Between the Three Questionnaires -- 3 Interindividual Differences in the Perception of UX -- 4 Methodology -- 4.1 First Study: Netflix, PPT, BBB and Zoom -- 4.2 Second Study: TikTok and PayPal -- 5 Results -- 5.1 Rating of the Products -- 5.2 Impact of Gender -- 5.3 Impact of Usage Frequency -- 5.4 Impact of Knowledge -- 5.5 Impact of Duration of Use -- 6 Discussion -- 6.1 External Influencing Factors 6.2 Influences on Pragmatic and Hedonic Qualities -- 7 Summary and Future Work -- References -- Categorizing UX Aspects for Voice User Interfaces Using the Kano Model -- 1 Introduction -- 2 Background and Related Work -- 2.1 UX of VUIs -- 2.2 Mixed-Methods Approach -- 2.3 Kano Categorization -- 3 Methodology -- 3.1 Identification of UX Aspects for VUIs -- 3.2 Kano Categorization of UX Aspects for VUIs -- 4 Results -- 4.1 UX Aspects for VUIs -- 4.2 Categorization of UX Aspects -- 5 Discussion -- 6 Conclusion and Future Work -- References -- How We Evaluate the Accessibility of an Infographic: A Pilot Study Through SUS Questionnaire -- 1 Introduction -- 2 Infodemic and Data Visualization: The Context -- 2.1 Living in a Visual Environment -- 2.2 Encoding Visual Artifacts -- 3 The Accessibility Issue of Data Visualization -- 3.1 The False Myth of the Universal [Visual] Language -- 3.2 The Aesthetic Bias -- 4 Data Visualization and Accessibility: A Pilot Studio -- 4.1 Methods and Design of the Research -- 4.2 Preliminary Results -- 5 Conclusion -- References -- Evaluating the Quality Characteristics of Space Geeks -- 1 Introduction -- 2 Identifying Students Misconceptions About Arrays -- 2.1 Survey Results -- 3 Designing Space Geeks -- 3.1 Hero and Narrative -- 3.2 Curriculum Alignment -- 3.3 Engagement and Interactivity -- 3.4 Mastery and Skill Development -- 3.5 Familiar Interactions -- 3.6 Character Animation -- 3.7 Purposeful Animation -- 4 Serious Games Evaluation -- 5 Evaluating the Quality Characteristics of Space Geeks -- 5.1 The Five-Dimensional Evaluation Framework -- 5.2 The Evaluation -- 6 Conclusion -- References -- Author Index World Wide Web (DE-588)4363898-3 gnd Anwendungssystem (DE-588)4139375-2 gnd Informationssystem (DE-588)4072806-7 gnd |
| subject_GND | (DE-588)4363898-3 (DE-588)4139375-2 (DE-588)4072806-7 (DE-588)1071861417 |
| title | Web Information Systems and Technologies 18th International Conference, WEBIST 2022, Valletta, Malta, October 25-27, 2022, Revised Selected Papers |
| title_auth | Web Information Systems and Technologies 18th International Conference, WEBIST 2022, Valletta, Malta, October 25-27, 2022, Revised Selected Papers |
| title_exact_search | Web Information Systems and Technologies 18th International Conference, WEBIST 2022, Valletta, Malta, October 25-27, 2022, Revised Selected Papers |
| title_full | Web Information Systems and Technologies 18th International Conference, WEBIST 2022, Valletta, Malta, October 25-27, 2022, Revised Selected Papers |
| title_fullStr | Web Information Systems and Technologies 18th International Conference, WEBIST 2022, Valletta, Malta, October 25-27, 2022, Revised Selected Papers |
| title_full_unstemmed | Web Information Systems and Technologies 18th International Conference, WEBIST 2022, Valletta, Malta, October 25-27, 2022, Revised Selected Papers |
| title_short | Web Information Systems and Technologies |
| title_sort | web information systems and technologies 18th international conference webist 2022 valletta malta october 25 27 2022 revised selected papers |
| title_sub | 18th International Conference, WEBIST 2022, Valletta, Malta, October 25-27, 2022, Revised Selected Papers |
| topic | World Wide Web (DE-588)4363898-3 gnd Anwendungssystem (DE-588)4139375-2 gnd Informationssystem (DE-588)4072806-7 gnd |
| topic_facet | World Wide Web Anwendungssystem Informationssystem Konferenzschrift 2022 Valletta |
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