Results 61 to 70 of about 77,435 (257)
On Ontology Alignment Experiments.
Webology, 2006 Ontology Alignment is a process for finding related entities of different ontologies. This paper discusses the results of our research in this area. One of them is a formulation for a new structural measure which extends famous related works. In this measure with a special attention to the transitive properties, it is tried to increase recall with less
Abolhassani, Hassan +2 more
openaire +2 more sources
Biomedical ontology alignment with BERT. [PDF]
, 2022 Existing machine learning-based ontology alignment systems often adopt complicated feature engineering or traditional non-contextual word embeddings. However, they are often outrun by the rule-based sys- tems despite the model complexity. This paper proposes a novel ontology alignment system based on a contextual embedding model named BERT, aiming to ...
He, Y +3 more
openaire +1 more source
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
FEBS Open Bio, EarlyView.MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
Bayesian Evaluation and Comparison of Ontology Alignment Systems
IEEE Access, 2019 Ontology alignment systems are evaluated by various performance scores, which are usually computed by a ratio related directly to the frequency of the true positives.
Majid Mohammadi
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
New approaches to the ontology alignment and identity resolution problems [PDF]
Computer Science Journal of Moldova, 2014 This paper describes approaches to the vocabulary normalization and identity resolution problems arising during the use of the LOD datasets to populate the content of scholarly knowledge bases.
Zinaida Apanovich, Alexander Marchuk
doaj
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
Bootstrapping ontology alignment methods with APFEL [PDF]
Special interest tracks and posters of the 14th international conference on World Wide Web - WWW '05, 2005 Ontology alignment is a prerequisite in order to allow for interoperation between different ontologies and many alignment strategies have been proposed to facilitate the alignment task by (semi-)automatic means. Due to the complexity of the alignment task, manually defined methods for (semi-)automatic alignment rarely constitute an optimal ...
Marc Ehrig, Steffen Staab, York Sure
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian +6 more
wiley +1 more source
Decentralized but Globally Coordinated Biodiversity Data
Frontiers in Big Data, 2020 Centralized biodiversity data aggregation is too often failing societal needs due to pervasive and systemic data quality deficiencies. We argue for a novel approach that embodies the spirit of the Web (“small pieces loosely joined”) through the ...
Beckett W. Sterner +2 more
doaj +1 more source