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Web Information Systems and Technologies 18th International Conference, WEBIST 2022, Valletta, Malta, October 25-27, 2022, Revised Selected Papers
Title
Web Information Systems and Technologies [electronic resource] : 18th International Conference, WEBIST 2022, Valletta, Malta, October 25-27, 2022, Revised Selected Papers / edited by Massimo Marchiori, Francisco José Domínguez Mayo, Joaquim Filipe.
ISBN
9783031430886
Edition
1st ed. 2023.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Physical Description
1 online resource (XII, 261 p.) 102 illus., 66 illus. in color.
Local Notes
Access is available to the Yale community.
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Access restricted by licensing agreement.
Summary
This book constitutes revised selected papers from the 18th International Conference on Web Information Systems and Technologies, WEBIST 2022, which took place in Valletta, Malta, in October 2022. The 13 full revised papers presented in this book were carefully reviewed and selected from a total of 62 submissions. The selected papers contribute to the understanding of relevant current research trends in Web information systems and technologies, including deep learning, knowledge representation and reasoning, recommender systems, internet of things, Web intelligence and big data.
Variant and related titles
Springer ENIN.
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Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
September 19, 2023
Series
Lecture Notes in Business Information Processing, 494
Contents
Automated SLR with a Few Labeled Papers and a Fair Workload Metric
Shift Toward Value-Based Learning: Applying Agile Approaches in Higher Education
Improving the Representation Choices of Privacy Policies for End-Users
Scaolding Process-Aware Information Systems with the AKIP Platform
Grammar-Based Question Classication Using Ensemble Learning Algorithms
Leveraging Transfer Learning for Long Text Classication with Limited Data
Integrating Linguistic and Citation Information with Transformer for Predicting Top-Cited Papers
Soft Web Intelligence with the J-CO Framework
An NLP Approach to Understand the Top Ranked Higher Education Institutions' Social Media Communication Strategy
In uence of Demographic Variables and Usage Behaviour on the Perceived User Experience
Categorizing UX Aspects for Voice User Interfaces Using the Kano Model
How We Evaluate the Accessibility of an Infographic: A Pilot Study Through SUS Questionnaire
Evaluating the Quality Characteristics of Space Geeks.
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