TraitBank : practical semantics for organism attribute data
Date
2016-10-11Metadata
Show full item recordCitable URI
https://hdl.handle.net/1912/8642As published
https://doi.org/10.3233/SW-150190DOI
10.3233/SW-150190Keyword
Biodiversity; Ontologies; Semantic Web; Traits; Ecology; Evolution; Taxonomy; Data aggregationAbstract
Encyclopedia of Life (EOL) has developed TraitBank (http://eol.org/traitbank), a new repository for organism attribute (trait) data. TraitBank aggregates, manages and serves attribute data for organisms across the tree of life, including life history characteristics, habitats, distributions, ecological relationships and other data types. We describe how TraitBank ingests and manages these data in a way that leverages EOL’s existing infrastructure and semantic annotations to facilitate reasoning across the TraitBank corpus and interoperability with other resources. We also discuss TraitBank’s impact on users and collaborators and the challenges and benefits of our lightweight, scalable approach to the integration of biodiversity data.
Description
© IOS Press and The Author(s), 2016. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Semantic Web 7 (2016): 577-588, doi:10.3233/SW-150190.
Collections
Suggested Citation
Semantic Web 7 (2016): 577-588The following license files are associated with this item:
Except where otherwise noted, this item's license is described as Attribution-NonCommercial 4.0 International
Related items
Showing items related by title, author, creator and subject.
-
Experiences of a “semantics smackdown”
(2016-02)Within the field of ocean science there is a long history of using controlled vocabularies and other Semantic Web techniques to provide a common and easily exchanged description of datasets. As an activity within the ... -
Complexity in ecology and conservation : mathematical, statistical, and computational challenges
(American Institute of Biological Sciences, 2005-06)Creative approaches at the interface of ecology, statistics, mathematics, informatics, and computational science are essential for improving our understanding of complex ecological systems. For example, new information ... -
Using Linked Open Data and Semantic Integration to Search Across Repositories
(IAMSLIC, 2015)The MBLWHOI Library is a partner in the GeoLink project, an NSF EarthCube Building Block, applying semantic technologies to enable knowledge discovery, sharing and integration. GeoLink is testing ontology design patterns ...
