Big data disruption has resulted in the need to rapidly integrate and exchange data of all types among disparate systems, applications and infrastructure. This requires a new approach. KM World brought this news to our attention in their article, “Disrupting the data landscape again with linked open data.”
As the focus shifts from internal, proprietary data sets to their aggregation with external, publicly available sources, organizations need new tools that aren’t rooted in relational technologies. They now need unstructured data analysis for big data, along with relational methods to make the content findable.
The sustainable longevity of linked data stems from the implementation of consistent meaning across systems regardless of type or source. Ontologies are not only responsible for modeling all data in a uniform way, but also naturally evolve to include additional requirements or data types.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.