Results 141 to 150 of about 4,106 (250)

Research on Structured Extraction and Material Matching of Logistics Documents Based on Lightweight Large Language Models

Applied Sciences
Paper-based logistics documents remain widely used in multi-enterprise supply chains, where heterogeneous layouts, noisy document images, non-standard material descriptions, and limited edge-computing resources make structured extraction and material ...
Lunlei Yang, Dongsheng Li, Shuaichao Zheng, Lingzheng Kong, Ming Li, Fankang Kong, Wenrui Wang   +6 more
doaj   +1 more source

AI-assisted JSON Schema Creation and Mapping

2025 ACM/IEEE 28th International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)
Model-Driven Engineering (MDE) places models at the core of system and data engineering processes. In the context of research data, these models are typically expressed as schemas that define the structure and semantics of datasets. However, many domains still lack standardized models, and creating them remains a significant barrier, especially for non-
Felix Neubauer, Jürgen Pleiss, Benjamin Uekermann   +2 more
openaire   +2 more sources

BIOMERO 2.0: End‐to‐end FAIR infrastructure for bioimaging data import, analysis, and provenance

Journal of Microscopy, EarlyView.
Abstract We present BIOMERO 2.0, a major evolution of the BIOMERO framework that transforms OMERO into a FAIR‐compliant (findable, accessible, interoperable, and reusable), provenance‐aware bioimaging platform. BIOMERO 2.0 integrates data import, preprocessing, analysis, and workflow monitoring through an OMERO.web plugin and containerised components ...
Torec T. Luik, Joost de Folter, Rodrigo Rosas‐Bertolini, Eric A. J. Reits, Ron A. Hoebe, Przemek M. Krawczyk   +5 more
wiley   +1 more source

AGIcam: An open‐source Internet of Things–based camera system for automated in‐field phenotyping and yield prediction

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Continuous, high‐frequency monitoring is essential to capture rapid phenological transitions and dynamic crop responses to the environment. However, most phenotyping platforms lack the temporal resolution and automation required for consistent, season‐long trait assessment.
Worasit Sangjan, Nisit Pukrongta, Trevor Buchanan, Arron H. Carter, Michael O. Pumphrey, Sindhuja Sankaran   +5 more
wiley   +1 more source

A MongoDB Document Reconstruction Support System Using Natural Language Processing

Software
Document-oriented databases, a type of Not Only SQL (NoSQL) database, are gaining popularity owing to their flexibility in data handling and performance for large-scale data.
Kohei Hamaji, Yukikazu Nakamoto
doaj   +1 more source

From Language Identification to Topic Modelling: A Fully Integrated Pipeline for Multilingual Aspect‐Based Sentiment Analysis and Component‐Level Insights

Expert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT The rapid expansion of multilingual digital platforms has made the accurate analysis of user‐generated content across different languages and cultural contexts increasingly essential. However, existing methods struggle to maintain consistent performance due to linguistic diversity, morphological complexity, and structural variations in text ...
Abdulkadir Şeker
wiley   +1 more source

LLM-based JSON Mapping and Blockchain Integration for Digital Product Passports

Digital Business
The European Commission envisages Digital Product Passports (DPPs) as a mechanism to enable traceable, transparent, and standardized product data across supply chains.
David Rohrschneider, Marcel Pehlke, Uwe Handmann, Marc Jansen   +3 more
doaj   +1 more source

The metadata ecosystem and AI: Enabling FAIR and AI‐ready data

AI Magazine, Volume 47, Issue 2, Summer 2026.
Abstract Reproducibility is a foundational tenet of science. As artificial intelligence (AI) becomes increasingly embedded across science, the need to accurately document the provenance, structure, and behavior of training data, models, and workflows grows correspondingly. Metadata, understood as explicit and structured knowledge about data and related
Jane Greenberg, Joel Pepper, Xintong Zhao, Richard Marciano, David Breen, Yuan An   +5 more
wiley   +1 more source

A multi‐source fusion and dynamic verification framework for scientific knowledge graph construction: Methods, evaluation, and applications

AI Magazine, Volume 47, Issue 2, Summer 2026.
Abstract The exponential growth of scientific literature—over 2.5 million papers and 3.5 million patents annually—poses critical challenges for knowledge discovery. To address these, we propose SCIMKG (Scientific Knowledge Graph), a framework for constructing scientific knowledge graphs via multi‐source heterogeneous multi‐source.
Erxi Zhu, Yuan Hu
wiley   +1 more source

Design and implementation of a decentralized trustless data standardization framework for blockchain interoperability using smart contracts

Alexandria Engineering Journal
Interoperability among heterogeneous blockchain platforms remains a significant challenge in decentralized ecosystems, especially with the growing adoption of blockchain across various industries. This research introduces the Data Standardization Module (
Abdulrahman Alzahrani, Amin Noaman, Ahmed A.A. Gad-Elrab, Fathy Eassa, Maher Khemakhem, Faisal Albalwy, Hosam Aljihani   +6 more
doaj   +1 more source