| Literature DB >> 28214993 |
Pedro Sernadela1, Lorena González-Castro2, José Luís Oliveira3.
Abstract
In recent years, we have witnessed an explosion of biological data resulting largely from the demands of life science research. The vast majority of these data are freely available via diverse bioinformatics platforms, including relational databases and conventional keyword search applications. This type of approach has achieved great results in the last few years, but proved to be unfeasible when information needs to be combined or shared among different and scattered sources. During recent years, many of these data distribution challenges have been solved with the adoption of semantic web. Despite the evident benefits of this technology, its adoption introduced new challenges related with the migration process, from existent systems to the semantic level. To facilitate this transition, we have developed Scaleus, a semantic web migration tool that can be deployed on top of traditional systems in order to bring knowledge, inference rules, and query federation to the existent data. Targeted at the biomedical domain, this web-based platform offers, in a single package, straightforward data integration and semantic web services that help developers and researchers in the creation process of new semantically enhanced information systems. SCALEUS is available as open source at http://bioinformatics-ua.github.io/scaleus/ .Keywords: Data integration; Data management; Database; Semantic web; Triplestore; Web services
Mesh:
Year: 2017 PMID: 28214993 DOI: 10.1007/s10916-017-0705-8
Source DB: PubMed Journal: J Med Syst ISSN: 0148-5598 Impact factor: 4.460