A framework for integrating biomedical knowledge in Wikidata with open biological and biomedical ontologies and MeSH keywords [PDF]
HeliyonThis study presents a comprehensive framework to enhance Wikidata as an open and collaborative knowledge graph by integrating Open Biological and Biomedical Ontologies (OBO) and Medical Subject Headings (MeSH) keywords from PubMed publications.
Houcemeddine Turki +6 more
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Matching biomedical ontologies based on formal concept analysis. [PDF]
J Biomed Semantics, 2018 The goal of ontology matching is to identify correspondences between entities from different yet overlapping ontologies so as to facilitate semantic integration, reuse and interoperability. As a well developed mathematical model for analyzing individuals
Zhao M, Zhang S, Li W, Chen G.
europepmc +2 more sources
Interactive biomedical ontology matching.
PLoS ONE, 2019 Due to continuous evolution of biomedical data, biomedical ontologies are becoming larger and more complex, which leads to the existence of many overlapping information.
Xingsi Xue, Zhi Hang, Zhengyi Tang
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Using Compact Coevolutionary Algorithm for Matching Biomedical Ontologies. [PDF]
Comput Intell Neurosci, 2018 Over the recent years, ontologies are widely used in various domains such as medical records annotation, medical knowledge representation and sharing, clinical guideline management, and medical decision-making.
Xue X, Chen J, Chen J, Chen D.
europepmc +2 more sources
Biomedical ontologies: a functional perspective [PDF]
Briefings in Bioinformatics, 2007 The information explosion in biology makes it difficult for researchers to stay abreast of current biomedical knowledge and to make sense of the massive amounts of online information. Ontologies--specifications of the entities, their attributes and relationships among the entities in a domain of discourse--are increasingly enabling biomedical ...
Daniel L, Rubin +2 more
openaire +4 more sources
Matching biomedical ontologies through compact differential evolution algorithm
Systems Science & Control Engineering, 2019 Although biomedical ontologies have been widely used in the life science domain, the heterogeneous problem among biomedical ontologies hampers their inter-operability.
Xingsi Xue, Junfeng Chen
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Interoperability between biomedical ontologies through relation expansion, upper-level ontologies and automatic reasoning. [PDF]
PLoS ONE, 2011 Researchers design ontologies as a means to accurately annotate and integrate experimental data across heterogeneous and disparate data- and knowledge bases.
Robert Hoehndorf +5 more
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Expressing Biomedical Ontologies in Natural Language for Expert Evaluation. [PDF]
Stud Health Technol Inform, 2017 We report on a study of our custom Hootation software for the purposes of assessing its ability to produce clear and accurate natural language phrases from axioms embedded in three biomedical ontologies.
Amith M +5 more
europepmc +2 more sources
The Ontology for Biomedical Investigations. [PDF]
PLoS ONE, 2016 The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted.
Anita Bandrowski +43 more
doaj +6 more sources
Evaluation of research in biomedical ontologies. [PDF]
Brief Bioinform, 2013 Ontologies are now pervasive in biomedicine, where they serve as a means to standardize terminology, to enable access to domain knowledge, to verify data consistency and to facilitate integrative analyses over heterogeneous biomedical data. For this purpose, research on biomedical ontologies applies theories and methods from diverse disciplines such as
Hoehndorf R, Dumontier M, Gkoutos GV.
europepmc +7 more sources