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 datasets to their aggregation with external, publicly available sources, organizations need new tools that aren’t rooted in relational technologies. Now they need unstructured data analysis for big data, along with relational methods to find that elusive needle in the haystack, and a linked data approach to connect all things.

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. The merit of the linked data approach is that the data still preserve their defined meaning at each of the respective levels, yet are quickly exchanged between and understood by the different IT systems found there.

Melody K. Smith

Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.