Results 201 to 210 of about 1,174,184 (329)

A New Method for Ontology Matching by Using Textual Corpus

Iranian Journal of Information Processing & Management, 2014
The aim of ontology matching is to find similarities or matches between concepts of different ontologies. There are many new applications which need a sort of ontology matching.
Besat Kassaie, Maseud Rahgozar, Alireza Vazifedoost   +2 more
doaj  

MULTIPLE KERNEL LEARNING FOR ONTOLOGY INSTANCE MATCHING

, 2010
Diego Ardila, José Abásolo, Fernando Lozano   +2 more
openalex   +1 more source

VersaMatch: Ontology Matching with Weak Supervision [PDF]

, 2023
Jonathan Fürst, Mauricio Fadel Argerich, Bin Cheng   +2 more
openalex   +1 more source

METTL14‐Induced M6A Methylation Increases G6pc Biosynthesis, Hepatic Glucose Production and Metabolic Disorders in Obesity

Advanced Science, EarlyView.
It is shown that obesity is associated with increases in hepatic METTL14 and m6A methylation of G6pc transcript. YTHDF1 and YTHDF3 bind to m6A‐marked G6pc mRNA to increase its synthesis. Hepatocyte‐specific deletion of Mettl14 decreases G6pc m6A methylation, G6pc biosynthesis, and G6pc‐mediated gluconeogenesis, alleviating glucose metabolic defects in ...
Qiantao Zheng, Xiao Zhong, Qianqian Kang, Zhiguo Zhang, Decheng Ren, Yong Liu, Liangyou Rui   +6 more
wiley   +1 more source

A New Bidirectional Method for Ontologies Matching

, 2011
Hacene Belhadef
openalex   +1 more source

Photo‐Biomodulation of the Hippocampus Using Near‐Infrared Laser to Enhance Cognitive Function in Mice

Advanced Science, EarlyView.
Here a transcranial photo‐biomodulation approach is developed using near‐infrared (NIR) laser on hippocampus of mice, revealing significant improvements in learning and memory ability of mice under normal and disease conditions. The improvement results from the high‐density cell‐induced NIR local energy deposition, neuronal activation, and axonogenesis
Wei‐Tong Pan, Han‐Wen Gu, Yan‐Bo Zhou, Sophie Ma, Daqing Ma, Pan‐Miao Liu, Jian‐Jun Yang   +6 more
wiley   +1 more source

Multilingual ontology matching based on Wiktionary data accessible via SPARQL endpoint

, 2011
Feiyu Lin, Andrew Krizhanovsky
openalex   +2 more sources

Unveiling Salt Tolerance Mechanisms in Plants: Integrating the KANMB Machine Learning Model With Metabolomic and Transcriptomic Analysis

Advanced Science, EarlyView.
Salt stress endangers coastal cereal crops, requiring resilient crop solutions. This study employs machine learning (KANMB) to analyze multi‐omics data from halophyte Spartina alterniflora, revealing 226 salt‐stress biomarkers and linking them to tolerance pathways. The MYB gene SaMYB35 regulates flavonoid biosynthesis under salinity.
Shoukun Chen, Hao Zhang, Shuqiang Gao, Kunhui He, Tingxi Yu, Shang Gao, Jiankang Wang, Huihui Li   +7 more
wiley   +1 more source

LncRNA‐MEG3 Regulates Muscle Mass and Metabolic Homeostasis by Facilitating SUZ12 Liquid–Liquid Phase Separation

Advanced Science, EarlyView.
This study has identified lncRNA‐MEG3 as a key regulator of muscle mass, promoting slow‐twitch muscle fibers and preventing muscle atrophy. By stabilizing the SUZ12/PRC2 complex through liquid–liquid phase separation (LLPS), lncRNA‐MEG3 influences mitochondrial function and lipid metabolism.
Yilong Yao, Chao Yan, Haibo Huang, Shilong Wang, Jiaying Li, Yun Chen, Xiaolu Qu, Qi Bao, Lingna Xu, Yuanyuan Zhang, Danyang Fan, Xia He, Yanwen Liu, Yongsheng Zhang, Yalan Yang, Zhonglin Tang   +15 more
wiley   +1 more source

e-Document Standards as Background Knowledge in Context-Based Ontology Matching [PDF]

, 2015
Audun Vennesland
openalex   +1 more source