Establishing a distributed system for the simple representation and integration of diverse scientific assertions View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-06

AUTHORS

Matthias Samwald, Holger Stenzhorn

ABSTRACT

BACKGROUND: Information technology has the potential to increase the pace of scientific progress by helping researchers in formulating, publishing and finding information. There are numerous projects that employ ontologies and Semantic Web technologies towards this goal. However, the number of applications that have found widespread use among biomedical researchers is still surprisingly small. In this paper we present the aTag ('associative tags') convention, which aims to drastically lower the entry barriers to the biomedical Semantic Web. aTags are short snippets of HTML+RDFa with embedded RDF/OWL based on the Semantically Interlinked Online Communities (SIOC) vocabulary and domain ontologies and taxonomies, such as the Open Biomedical Ontologies and DBpedia. The structure of aTags is very simple: a short piece of human-readable text that is 'tagged' with relevant ontological entities. This paper describes our efforts for seeding the creation of a viable ecosystem of datasets, tools and services around aTags. RESULTS: Numerous biomedical datasets in aTag format and systems for the creation of aTags have been set-up and are described in this paper. Prototypes of some of these systems are accessible at http://hcls.deri.org/atag CONCLUSIONS: The aTags convention enables the rapid development of diverse, integrated datasets and semantically interoperable applications. More work needs to be done to study the practicability of this approach in different use-case scenarios, and to encourage uptake of the convention by other groups. More... »

PAGES

s5

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/2041-1480-1-s1-s5

DOI

http://dx.doi.org/10.1186/2041-1480-1-s1-s5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1003383593

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20626925


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