Web information systems and technologies 20th International Conference, WEBIST 2024, Porto, Portugal, November 17-19, 2024 revised selected papers Massimo Marchiori, Francisco García Peñalvo, Karl Aberer, editors

Format:

Book

Conference/Event

Contributor:

Marchiori, M. (Massimo), editor.

García Peñalvo, Francisco José, 1971- editor.

Aberer, Karl, editor.

Conference Name:

International Conference on Web Information Systems and Technologies (20th : 2024 : Porto, Portugal)

Series:

Lecture notes in business information processing ; 583.

Lecture notes in business information processing 1865-1356 583

Language:

English

Subjects (All):

Information technology.

Web services.

Management information systems.

Management Information Systems.

information technology.

Medical Subjects:

Management Information Systems.

Genre:

proceedings (reports)

Conference papers and proceedings

Conference papers and proceedings.

Physical Description:

1 online resource

Place of Publication:

Cham, Switzerland Springer [2026]

Summary:

"This book constitutes the refereed post publication proceedings of extended paper versions from the 20th International Conference on Web Information Systems and Technologies, WEBIST 2024, held in Porto, Portugal, during November 17-19, 2024. The 13 full papers and 4 short papers included in this book were carefully reviewed and selected from 69 submissions. They are organized in the following topical sections: Internet Technology; Web Intelligence and Semantic Web; Social Network Analytics; and HCI in Mobile Systems and Web Interfaces"-- Springer Nature Link

Contents:

Ai for enhanced public services Gov.br / João Gabriel de Moraes Souza, Maísa Kely de Melo, Allan Victor Almeida Faria, Carlos David Castro de Souza Neto, Fause Carlos Mascarenhas Lustosa Junior, Li Weigang, Vinícius Di Oliveira, Pedro Carvalho Brom, Silvia Araújo dos Reis, Vérica Freitas, José Francisco Salm Junior, Herbert Kimura, Daniel Oliveira Cajueiro, Gladston Luiz da Silva, and Victor Rafael R. Celestino

Low-code web database integration : enhancing workflow efficiency and collaboration with web components and generic web services / Andreas Schmidt and Tobias Münch

Co-creative robotics : foundations, challenges, and collaborative networks as a mitigation approach / Sanaz Nikghadam-Hojjati, Eda Marchetti, Jose Barata, and Antonello Calabrò

Impact of the number of items on the response rate of user experience surveys / Marco Schaa, Jessica Kollmorgen, Martin Schrepp, and Jög Thomaschewski

Leveraging IoT cybersecurity through RED-based testing / Tauheed Waheed, Eda Marchetti, and Antonello Calabrò

Malicious web links detection with large language models / Claudia-Ioana Coste and Thomas Kaisser

Efficient fine-tuning for domain-specific language models : SLIM-RAFT / Vinícius Di Oliveira, Pedro Carvalho Brom, Yuri Façanha Bezerra, Li Weigang, and Victor Rafael R. Celestino

Exploiting subject and sender features for learning to predict email open rates / Daniel Vitor de Oliveira Santos and Wladmir Cardoso Brandão

Using LLMs for semi-automatic handwritten text recognition and elaborationns / Angelica Lo Duca

Personalized preferences for soft querying JSON datasets / Paolo Fosci and Giuseppe Psaila

An ontology-driven framework for adaptive and transparent AI-assisted student assessment / Asma Hadyaoui and Lilia Cheniti-Belcadhi

Beyond employee turnover prediction : generalized data spatial dependencies / Sandra Maria Pereira, Alice Pereira de Aguilar Penido, Alessandro Garcia Vieira, and Wladmir Cardoso Brandão

Confidence-based filtering for enhancing recommendation quality / Dionisis Margaris, Kiriakos Sgardelis, Dimitris Spiliotopoulos, Costas Vassilakis, and Stefanos Ougiaroglou

Data-driven discourse analysis of autism-related Reddit channels / Narges Azizifard, Lidia Pivovarova, and Eetu Mäkelä

Defining, understanding, and detecting online toxicity : challenges and machine learning approaches / Gautam Kishore Shahi and Tim A. Majchrzak

On the measurement of learner experience in online tutorials / Martin Schrepp, Harry Budi Santoso, and Jörg Thomaschewski

EEG-based engagement prediction in e-learning environments using machine learning techniques / Elias Dritsas, Maria Trigka, and Phivos Mylonas

Notes:

Includes bibliographical references and index

Online resource; title from PDF title page (Springer Nature Link, viewed July 16, 2026)

Other Format:

Print version International Conference on Web Information Systems and Technologies (20th : 2024 : Porto, Portugal) Web information systems and technologies

ISBN:

9783032255341

3032255341

OCLC:

1603217236

Access Restriction:

Restricted for use by site license