Results 241 to 250 of about 70,455 (289)

AgroLD: a knowledge graph for the plant sciences. [PDF]

BMC Genom Data
Pierre L, Bertrand P, Ndomassi T, Yann P, Bill Gates HH, Valentin G, Manuel R.   +6 more
europepmc   +1 more source

Annotation of biological samples data to standard ontologies with support from large language models. [PDF]

Comput Struct Biotechnol J
Riquelme-García A, Mulero-Hernández J, Fernández-Breis JT.   +2 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Ontologies in Biological Data Visualization

IEEE Computer Graphics and Applications, 2014
In computer science, an ontology is essentially a graph-based knowledge representation in which each node corresponds to a concept and each edge specifies a relation between two concepts. Ontological development in biology can serve as a focus to discuss the challenges and possible research directions for ontologies in visualization.
Sheelagh, Carpendale, Min, Chen, Daniel, Evanko, Nils, Gehlenborg, Carsten, Gorg, Larry, Hunter, Francis, Rowland, Margaret-Anne, Storey, Hendrik, Strobelt   +8 more
openaire   +4 more sources

GFO-Bio: A biological core ontology [PDF]

Applied Ontology, 2008
The rapid increase in the number and use of biological ontologies necessitates developing systems for their integration. In this paper we present a core ontology for biology, and outline its application for integrating biological domain ontologies.
R. Hoehndorf, F. Loebe, Poli, Roberto, H. Herre, J. Kelso   +4 more
openaire   +3 more sources

EVENT ONTOLOGY: A PATHWAY-CENTRIC ONTOLOGY FOR BIOLOGICAL PROCESSES

Biocomputing 2006, 2005
Event ontology is a new biomedical ontology developed to annotate pathway components in a pathway database. It organizes the concepts and terms of sub-pathways, pathways, biological phenomena, experimental conditions, medications, and external stimuli appearing in biological pathways (e.g.
Tatsuya, Kushida, Toshihisa, Takagi, Ken Ichiro, Fukuda   +2 more
openaire   +2 more sources

Biological and Medical Ontologies: PRotein Ontology (PRO)

2019
The Protein Ontology (PRO) is a publicly available resource providing an ontological representation of proteins and protein-related entities. The protein ontology does not only provide a classification of protein-related products, but also furnishes semantic relationships between these entities, and links every protein product with popular databases ...
D. Chicco, M. Masseroli
openaire   +3 more sources

Biological and Medical Ontologies: Disease Ontology (DO)

2019
The Disease Ontology (DO) is a community-driven, open source ontology designed for the semantic integration of biomedical datasets that are associated with human disease, under the principles of the Open Biomedical Ontologies Foundry. The DO includes almost 11,000 disease and disease-related concepts organized by disease etiology, structured in a ...
A. Bernasconi, M. Masseroli
openaire   +2 more sources

Ontological Kinds Versus Biological Species

The American Journal of Bioethics, 2012
Haber and Benham (2012) base their critique of the “inexorable moral confusion” (IMC) argument upon the problematic biologically based “essentialist” assumptions underlying the confusion that may r...
openaire   +2 more sources

Integrating Biological and Engineering Ontologies

Volume 2B: 33rd Computers and Information in Engineering Conference, 2013
As methods for engineering data acquisition improve, methods for storing, generating knowledge from, and sharing that data for efficient reuse have become more important. Knowledge management in the engineering community can greatly benefit from advancements made in knowledge management in biology.
Jeffrey D. McPherson, Ian R. Grosse, Sundar Krishnamurty, Jack C. Wileden, Elizabeth R. Dumont, Michael A. Berthaume   +5 more
openaire   +1 more source

Ontologies: Formalising biological knowledge for bioinformatics

BioEssays, 2003
AbstractAn ontology is a domain of knowledge structured through formal rules so that it can be interpreted and used by computers. Ontologies are becoming increasingly important in bioinformatics because they can be linked to the information in databases and their knowledge then used to query the databases.
openaire   +2 more sources