Results 121 to 130 of about 55,127 (292)

Semantic Web

open access: yes, 2009
The Semantic Web is a proposed extension to the World Wide Web (WWW) that aims to provide a common framework for sharing and reusing data across applications.
Hall, Wendy, O'Hara, Kieron
core  

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin   +5 more
wiley   +1 more source

OntoTag - A Linguistic and Ontological Annotation Model Suitable for the Semantic Web

open access: yes, 2012
OntoTag - A Linguistic and Ontological Annotation Model Suitable for the Semantic Web 1. INTRODUCTION. LINGUISTIC TOOLS AND ANNOTATIONS: THEIR LIGHTS AND SHADOWS Computational Linguistics is already a consolidated research area.
Pareja-Lora, A.
core   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

open access: yesAdvanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen   +13 more
wiley   +1 more source

Toward Intelligent Multimodal Holography for Real‐Time Chemical Imaging of Dynamic Ion Separation

open access: yesAdvanced Intelligent Discovery, EarlyView.
Intelligent multimodal holography integrates digital off‐axis holography, spectroscopic imaging, and AI‐driven reconstruction to visualize ion transport and chemical dynamics in real time. In this perspective paper, we outline how this approach enables label‐free, chemically specific monitoring of complex environments and discuss its potential to ...
Giovanna Ricchiuti   +3 more
wiley   +1 more source

Unified Semantic-Dynamic Occupancy Grid Map for Autonomous Vehicles Using LiDAR Semantic Data and Dempster-Shafer Theory

open access: yesIEEE Access
Accurate and comprehensive recognition of dynamic and static objects is essential for the safety and efficiency of autonomous vehicles. However, deep learning-based semantic segmentation, which extracts semantic information from LiDAR point clouds, often
Kyungjae Ahn   +3 more
doaj   +1 more source

HyperJournal software, PHP scripting and Semantic Web technologies for the Open Access [PDF]

open access: yes, 2005
In this article we present an high level overview of the HyperJournal project, an effort to provide novel possibilities both in Scientific Publishing and in access to Scientific Contributions, according to the Open Access movement guidelines.
Barbera, Michele   +3 more
core  

When Biology Meets Medicine: A Perspective on Foundation Models

open access: yesAdvanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu   +3 more
wiley   +1 more source

A semantic and agent-based approach to support information retrieval, interoperability and multi-lateral viewpoints for heterogeneous environmental databases

open access: yes, 2006
PhDData stored in individual autonomous databases often needs to be combined and interrelated. For example, in the Inland Water (IW) environment monitoring domain, the spatial and temporal variation of measurements of different water quality indicators
Zuo, Landong
core  

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

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