Results 261 to 270 of about 764,785 (295)
Some of the next articles are maybe not open access.

Matching large-scale biomedical ontologies with central concept based partitioning algorithm and Adaptive Compact Evolutionary Algorithm

Applied Soft Computing Journal, 2021
As a unified model for describing biomedical knowledge, a biomedical ontology is of help to solve the issues of data heterogeneity in different biomedical databases.
Xingsi Xue, J. Zhang
semanticscholar   +3 more sources

Repairing mappings across biomedical ontologies by probabilistic reasoning and belief revision

Knowledge-Based Systems, 2020
The ontology matching approaches identify correspondences among entities across ontologies, and the quality of ontology mappings is crucial for supporting knowledge sharing and reuse on the Semantic Web.
Weizhuo Li, Songmao Zhang
semanticscholar   +3 more sources

Automated ontology generation framework powered by linked biomedical ontologies for disease-drug domain

Computer Methods and Programs in Biomedicine, 2018
OBJECTIVE AND BACKGROUND The exponential growth of the unstructured data available in biomedical literature, and Electronic Health Record (EHR), requires powerful novel technologies and architectures to unlock the information hidden in the unstructured ...
Mazen Alobaidi, K. Malik, M. Hussain
semanticscholar   +3 more sources

Biomedical ontologies—A review

Biocybernetics and Biomedical Engineering, 2015
Abstract Current societies undergo a transformation into information societies. “Digitialization” is progressing in every aspect of life, including health care. Handling the increasing flow of biomedical data presents a serious challenge to researchers and clinicians. Ontologies – controlled vocabularies that allow describing the meaning of data (its
openaire   +3 more sources

DeepFCA: Matching Biomedical Ontologies Using Formal Concept Analysis Embedding Techniques

International Conference on Medical and Health Informatics, 2020
Biomedical ontologies contain target domain knowledge. In many cases, multiple ontologies are created independently for different purposes in the same biomedical domain. To fuse and extend existing knowledge, we need to find the corresponding entities (i.
Guoxuan Li
semanticscholar   +1 more source

Jointly Integrating VCF-Based Variants and OWL-Based Biomedical Ontologies in MongoDB

IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2020
The development of the next-generation sequencing (NGS) technologies has led to massive amounts of VCF (Variant Call Format) files, which have been the standard formats developed with 1000 Genomes Project.
Jian Liu   +5 more
semanticscholar   +1 more source

Ontology-Aware Biomedical Relation Extraction

2022
MotivationAutomatically extracting relationships from biomedical texts among multiple sorts of entities is an essential task in biomedical natural language processing with numerous applications, such as drug development or repurposing, precision medicine, and other biomedical tasks requiring knowledge discovery. Current Relation Extraction (RE) systems
Ahmad Aghaebrahimian   +2 more
openaire   +1 more source

Matching Biomedical Ontologies with Long Short-Term Memory Networks

IEEE International Conference on Bioinformatics and Biomedicine, 2020
Semantic Web (SW) has attracted the increasing attention of researchers, which facilitates people to link and handle various data. Ontology is the kernel technique of SW, and biomedical ontology is a state-of-art biomedical knowledge modeling technique ...
Chao Jiang, Xingsi Xue
semanticscholar   +1 more source

Making biomedical ontologies and ontology repositories work

IEEE Intelligent Systems, 2004
It is becoming impossible to contemplate successful bio-medical research without canonical data structures. The biomedical computation community finds itself grappling with hundreds of different knowledge bases, metadata formats, and database schemas.
N.F. Noy, D.L. Rubin, M.A. Musen
openaire   +1 more source

Home - About - Disclaimer - Privacy