Results 51 to 60 of about 123,356 (289)
WASP—A Web Application to Support Syntactically and Semantically Correct SNOMED CT Postcoordination
Applied Sciences, 2023 Expressive clinical terminologies are of utmost importance for achieving a semantically interoperable data exchange and reuse in healthcare. SNOMED CT, widely respected as the most comprehensive terminology in medicine, provides formal concept ...
Cora Drenkhahn +3 more
doaj +1 more source
Applications of the ACGT Master Ontology on Cancer [PDF]
, 2008 In this paper we present applications of the ACGT Master Ontology (MO) which is a new terminology resource for a transnational network providing data exchange in oncology, emphasizing the integration of both clinical and molecular data.
A. Cali +13 more
core +3 more sources
Ontology-assisted database integration to support natural language processing and biomedical data-mining [PDF]
, 2004 Successful biomedical data mining and information extraction require a complete picture of biological phenomena such as genes, biological processes, and diseases; as these exist on different levels of granularity.
Ceusters, Werner +4 more
core +1 more source
Towards Context Driven Modularization of Large Biomedical Ontologies [PDF]
, 2009 Formal knowledge about human anatomy, radiology or diseases is necessary to support clinical applications such as medical image search. This machine processable knowledge can be acquired from biomedical domain ontologies, which however, are typically ...
Pinar Wennerberg, Sonja Zillner
core +2 more sources
Tackling the challenges of matching biomedical ontologies
Journal of Biomedical Semantics, 2018 Background Biomedical ontologies pose several challenges to ontology matching due both to the complexity of the biomedical domain and to the characteristics of the ontologies themselves.
Daniel Faria +5 more
doaj +1 more source
Bioengineering, 2023 The fusion of machine learning and biomedical research offers novel ways to understand, diagnose, and treat various health conditions. However, the complexities of biomedical data, coupled with the intricate process of developing and deploying machine ...
Hong Qing Yu +2 more
doaj +1 more source
Discovering Beaten Paths in Collaborative Ontology-Engineering Projects using Markov Chains [PDF]
, 2016 Biomedical taxonomies, thesauri and ontologies in the form of the International Classification of Diseases (ICD) as a taxonomy or the National Cancer Institute Thesaurus as an OWL-based ontology, play a critical role in acquiring, representing and ...
Musen, Mark A. +5 more
core +1 more source
Semantic Similarity in Biomedical Ontologies
PLoS Computational Biology, 2009 In recent years, ontologies have become a mainstream topic in biomedical research. When biological entities are described using a common schema, such as an ontology, they can be compared by means of their annotations. This type of comparison is called semantic similarity, since it assesses the degree of relatedness between two entities by the ...
Pesquita C +4 more
openaire +5 more sources
BiOSS: A system for biomedical ontology selection [PDF]
, 2014 In biomedical informatics, ontologies are considered a key technology for annotating, retrieving and sharing the huge volume of publicly available data. Due to the increasing amount, complexity and variety of existing biomedical ontologies, choosing the ...
Martínez-Romero, Marcos +3 more
core +2 more sources
Evolution of biomedical ontologies and mappings: Overview of recent approaches
Computational and Structural Biotechnology Journal, 2016 Biomedical ontologies are heavily used to annotate data, and different ontologies are often interlinked by ontology mappings. These ontology-based mappings and annotations are used in many applications and analysis tasks.
Anika Groß, Cédric Pruski, Erhard Rahm
doaj +1 more source