Ann2RDF

The annotation of concepts and susceptible interactions has been assuming a key role in the extraction of relevant information from published documents. However, distinct annotation tools generate also different formats, creating a barrier to efficiently combine and exchange this information. The migration of curated information into semantic web format and services provides an additional value to share that knowledge, but data transformation represents here an additional challenge. In this manuscript, we present a unified layer between text-mining tools and semantic web services to reduce the effort of combining different formats. The Ann2RDF is focused on reusing existing curated data from external text-mining tools to improve their availability through an open representation model. This result in a more suitable transition process, in which desired annotations are enriched with the possibility to be shared, compared and reused across semantic Knowledge Bases.