Results 61 to 70 of about 7,625,042 (246)

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

The PRIMA Thesaurus for Materials Science and Engineering

open access: yesAdvanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa   +8 more
wiley   +1 more source

Integrated Learning of Metadata Quality Evaluation and Metadata Application Profile Development in a Graduate Metadata Course [PDF]

open access: yes, 2017
Presented at the 2017 International Conference on Dublin Core and Metadata Applications. This poster presents the graduate metadata courses offered by the University of North Texas and reports a case study of an experiment in the design of an advanced ...
Zavalina, Oksana
core  

AraCore: An Arabic learning object metadata for indexing learning resources

open access: yes, 2005
In the era of information systems globalization the need to have educational metadata to index and describe digital learning resources for easy searching, retrieving and reusing them quickly and efficiently is becoming an essential research topic in ...
Davis, Hugh   +3 more
core   +1 more source

Designing a Metadata-Enabled Namespace for Enhancing Resource Discovery in Knowledge Bases [Version presented at the International Conference] [PDF]

open access: yes, 2001
The proliferation of digitized resources accessible via Internet and Intranet knowledge bases, and a pressing need to develop more sophisticated tools for the identification and retrieval of electronic resources, both general purpose and domain-specific ...
Howarth, Lynne C.
core   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann   +8 more
wiley   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Metadata and its importance in supporting access to digital archival content: an empirical atudy on the national archives websites

open access: yesCybrarians Journal, 2016
This study aims to analyze and evaluate the metadata on the National Archives Websites, and the extent of the keenness of the National Archives on quality in creating metadata compared to the international standards in this regard, and practices adopted
Elsayed El Sawy
doaj   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

open access: yesAdvanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari   +5 more
wiley   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

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