Results 81 to 90 of about 84,959 (311)
Mit MEDPILOT auf dem Weg ins Semantic Web [On the way to semantic web – with MEDPILOT]
[english] Since 2001 MEDPILOT has developed from a usual virtual library to a powerful portal for medicine and health sciences. Today the local catalogues of the ZB MED are integrated with external databases to a unified discovery interface. This article
Poley, Christoph
doaj +1 more source
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
Large Scale Integration of Senses for the Semantic Web
Nowadays, the increasing amount of semantic data available on the Web leads to a new stage in the potential of Semantic Web applications. However, it also introduces new issues due to the heterogeneity of the available semantic resources.
Jorge Gracia +5 more
core +1 more source
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
Investigation of the Implementation Rate of Semantic Web Technology in Knowledge Management Software [PDF]
1. IntroductionThe explosive growth of information and lack of structuring of information and the problems of information retrieval caused the emergence of the third generation of the web.
Mohammad Hassan Azimi, Hadi Alhaei
doaj +1 more source
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
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
A framework for deriving semantic web services
Web service-based development represents an emerging approach for the development of distributed information systems. Web services have been mainly applied by software practitioners as a means to modularize system functionality that can be offered across
Lycett, M +4 more
core +1 more source
X-ENS: Semantic Enrichment of Web Search Results at Real-Time [PDF]
While more and more semantic data are published on the Web, an important question is how typical web users can access and exploit this body of knowledge.
Pavlos Fafalios +3 more
core +1 more source
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source

