Results 101 to 110 of about 51,029 (297)
Improving retrieval effectiveness by reranking documents based on controlled vocabulary
. There is a common availability of classification terms in online text collections and digital libraries, such as manually assigned keywords or key-phrases from a controlled vocabulary in scientific collections.
Kamps, J.; id_orcid +2 more
core +1 more source
Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son +4 more
wiley +1 more source
Many ontologies are built upon a taxonomy which entirely depends on a controlled vocabulary. This has many drawbacks, particularly in the environments that depend on social networking.
Binzabiah, Reyad, Wade, Steve
core
Factors affecting controlled vocabulary usage in art museum information systems
This paper describes the results of a study designed to assess the state of controlled vocabulary adoption behavior in United States fine art museums. Personnel responsible for collections data at thirty art museums were asked to report on aspects of ...
Gilchrest, Alison
core +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
Proposed method to build an ontology based on Folksonomy
Ontology design builds upon taxonomy. The problem is that taxonomy depends on controlled vocabulary which has many drawbacks, particularly in the environments that depend on social networking, which are shaped and formed generally from contributions of ...
Binzabiah, Reyad, Wade, Steve
core
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher +4 more
wiley +1 more source
Controlled Vocabularies in Colectica
A controlled vocabulary is an organized set of terms. Controlled vocabularies make it easier to make information consistent. They also improve indexing and searching for information. DDI Lifecycle supports using controlled vocabularies for many of its metadata fields. Colectica 6.2 adds support for controlled vocabularies in its desktop and Web tools.
openaire +1 more source
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source

