Results 61 to 70 of about 53,276 (260)
Multi-domain semantic similarity in biomedical research
Background Given the increasing amount of biomedical resources that are being annotated with concepts from more than one ontology and covering multiple domains of knowledge, it is important to devise mechanisms to compare these resources that take into ...
João D. Ferreira, Francisco M. Couto
doaj +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Semantic ECG hash similarity graph
Graph-based methods have made significant progress in addressing the dependent correlations among ECG time series variables. However, most existing graph structures primarily focus on local similarity while overlooking global semantic correlation ...
Yixian Fang, Shilin Zhang, Yuwei Ren
doaj +1 more source
MCRWR: a new method to measure the similarity of documents based on semantic network
Background Besides Boolean retrieval with medical subject headings (MeSH), PubMed provides users with an alternative way called “Related Articles” to access and collect relevant documents based on semantic similarity.
Xianwei Pan +3 more
doaj +1 more source
UQeResearch: Semantic Textual Similarity Quantification [PDF]
This paper presents an approach for estimating the Semantic Textual Similarity of full English sentences as specified in Shared Task 2 of SemEval-2015. The semantic similarity of sentence pairs is quantified from three perspectives - structural, syntactical, and semantic. The numerical representations of the derived similarity measures are then applied
Hamed Hassanzadeh +3 more
openaire +2 more sources
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
Comparison of Methods for Assessing the Semantic Similarity of Text Fragments
With the rapid growth of text data, there is a need for methods capable of effectively comparing text fragments by meaning, including cases of paraphrasing, synonymization, and sentence restructuring.
K. Krez +3 more
doaj +1 more source
The PRIMA Thesaurus for Materials Science and Engineering
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
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
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

