Artículo
The spider anatomy ontology (SPD)-A versatile tool to link anatomy with cross-disciplinary data
Fecha de publicación:
10/2019
Editorial:
MDPI AG
Revista:
Diversity
ISSN:
1424-2818
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Spiders are a diverse group with a high eco-morphological diversity, which complicates anatomical descriptions especially with regard to its terminology. New terms are constantly proposed, and definitions and limits of anatomical concepts are regularly updated. Therefore, it is often challenging to find the correct terms, even for trained scientists, especially when the terminology has obstacles such as synonyms, disputed definitions, ambiguities, or homonyms. Here, we present the Spider Anatomy Ontology (SPD), which we developed combining the functionality of a glossary (a controlled defined vocabulary) with a network of formalized relations between terms that can be used to compute inferences. The SPD follows the guidelines of the Open Biomedical Ontologies and is available through the NCBO BioPortal (ver. 1.1). It constitutes of 757 valid terms and definitions, is rooted with the Common Anatomy Reference Ontology (CARO), and has cross references to other ontologies, especially of arthropods. The SPD offers a wealth of anatomical knowledge that can be used as a resource for any scientific study as, for example, to link images to phylogenetic datasets, compute structural complexity over phylogenies, and produce ancestral ontologies. By using a common reference in a standardized way, the SPD will help bridge diverse disciplines, such as genomics, taxonomy, systematics, evolution, ecology, and behavior.
Palabras clave:
ARANEAE
,
MORPHOLOGY
,
SEMANTIC NETWORK
,
SYSTEMATICS
,
TAXONOMY
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(MACNBR)
Articulos de MUSEO ARG.DE CS.NAT "BERNARDINO RIVADAVIA"
Articulos de MUSEO ARG.DE CS.NAT "BERNARDINO RIVADAVIA"
Citación
Ramirez, Martin Javier; Michalik, Peter; The spider anatomy ontology (SPD)-A versatile tool to link anatomy with cross-disciplinary data; MDPI AG; Diversity; 11; 10; 10-2019; 1-9
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