Planteome Annotation Wiki: A semantic application for the community curation of Plant genotypes and phenotypes

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Publications with the same identifier or URL: Planteome Annotation Wiki: A semantic application for the community curation of Plant genotypes and phenotypes, Planteome annotation wiki: a semantic application for the community curation of plant genotypes and phenotypes.

Planteome Annotation Wiki: A semantic application for the community curation of Plant genotypes and phenotypes is a 2012 conference paper written in English by Preece J., Elser J., Jaiswal P. and published in ACM International Conference Proceeding Series.

[edit] Abstract

Two notable trends currently impacting biology curation are 1) the use of wikis to input, store, and disseminate re-search data and 2) the development of semantic technologies to facilitate higher-order data description and exploration. These separate developments, when brought together, have the potential to deliver on one promise of the\semantic web": structured, self-described data used to further scientific research and analysis. The Semantic MediaWiki [5] extension, when used in conjunction with Semantic Forms [4], pro-vides an avenue to create a semantically-driven, community-powered research platform on the web. The Planteome Annotation Wiki implements these technology platforms to provide a user interface for annotation, personal user accounts, a set of previously-curated annotations (i.e. from TAIR [6], Gramene [7], and the Plant Ontology Consortium [3]) and a rigorous semantic data structure. The wiki also dynamically integrates data from other sites via web services. For example, Gene Ontology [2] and Plant Ontology terms, PubMed references and taxonomic data are all available. An import utility accepting large-scale GO Annotation File Format (GAF [1]) data has also been developed, and the wiki provides multi-format import, export, and semantic browsing and search capabilities. Future enhancements include an exploration of semantic inferencing capabilities using ontologies, a curatorial approval mechanism, and further data integration with other biowikis. Copyright

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