Information Integration and Web Intelligence

26th International Conference, iiWAS 2024, Bratislava, Slovak Republic, December 2–4, 2024, Proceedings, Part I

AvPari Delir Haghighi,Michal Greguš

Häftad, Engelska, 2024

Del 15342 i serien Lecture Notes in Computer Science

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Beskrivning

The two-volume set LNCS 15342 and 15343 constitutes the refereed proceedings of the 26th International Conference on Information Integration and Web Intelligence, iiWAS 2024, held in Bratislava, Slovak Republic, during December 2–4, 2024.The 27 revised full papers and 25 short papers are presented in these proceedings were carefully reviewed and selected from 92 submissions. The papers are organized in the following topical sections:Volume I: Web Intelligence, Language Models, and AI-based Question Answering; Blockchain, Peer Reviews, and Digital Transparency; Machine Learning in Healthcare, Climate Change, and Human Behavior; Sequence and Similarity Search Techniques; and Knowledge Graphs, Databases, and Ontologies.Volume II: Recommender Systems and Data Personalization; Digital Forensics, Journalism, and Echo Chambers; Human-Computer Interaction, Music Therapy, and User-Centric Systems; and Environmental and Geological Data Science.

Produktinformation

Utgivningsdatum:2024-12-04
Mått:155 x 235 x 20 mm
Vikt:540 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:329
Förlag:Springer International Publishing AG
ISBN:9783031780899

Utforska kategorier

Artificiell intelligens inom Data och IT
Hårdvara inom Data och IT
Tillämpad datateknik inom Data och IT

Innehållsförteckning

.- Web Intelligence, Language Models, and AI-based Question Answerin..- RUVA - a Radical Universal Visual Annotation for Web-Based Language Learning..- CLOR - QA: Cross-Lingual Open-Retrieval Question Answering Model with Dynamic Database Integration..- Financial News Classification Using Language Learning Models and Reinforcement Learning..- ExtractGPT: Exploring the Potential of Large Language Models for Product Attribute Value Extraction..- Feature Extraction for Claim Check-Worthiness Prediction Tasks Using LLM..- Training Data for Dialogue Generation Considering Philosophies..- Finding Adequate Additional Layer of Auxiliary Task in BERT-Based Multi-Task Learning..- Blockchain, Peer Reviews, and Digital Transparency..- Ponzi scheme detection and prevention in blockchain platforms using machine learning: A systematic literature review..- Cross-Chain Personal Data Exchange on EVM Platforms: Enhancing Transparency, and Equity..- Incentivise Peer Review without Rewarding: Using OSS-like Citation Pull Request..- Towards Website X-Ray for Europe’s Municipalities: Unveiling Digital Transformation with Multimodal Embeddings..- Machine Learning in Healthcare, Climate Change, and Human Behavior..- Evolving Applications of Conversational Agents in Healthcare: A Literature Review..- Hybrid edge-cloud federated learning: the case of lightweight smoking detection..- Anonymization of Unstructured Health Data in Spanish..- When Good Enough is the Best Option: Use of Digital Sufficiency to Fight Climate Change..- Multi-Target Feature Selection Method for Predicting User-Level Psychological Status from Text..- FIEAP: A Machine Learning Approach for Fair and Interpretable Employee Attrition Prediction..- HOCON34k: A corpus of Hate speech in Online Comments from German Newspapers..- Sequence and Similarity Search Techniques..- SISIS: Sequence Indexing for SImilarity Search..- Top-k on Sequences: A New Approach to Enhanced Similarity Search..- Exploratory Data Analysis of Time Series using Pre-segmented Clustering..- A Data Science Approach for Predicting Soccer Passes Using Positional Data..- Knowledge Graphs, Databases, and Ontologies..- A Method for Integrating Heterogeneous Data into a Knowledge Graph..- Predicting Knowledge Graph Updates from Edit Histories..- Automatic Extraction of RML-star Mappings from Property Graphs..- Exploring the Role of UML in Data Modelling for NoSQL Databases: Position paper..- Railway systems’ ontologies: A literature review and an alignment proposal..- Combining GraphSAGE and Label Propagation for Node Classification in Graphs.