Semanitification is the process of restructuring and optimizing data to capture contextual relationships. A typical project undertaken by the Dark Data Project will involve some level of semanitifcation, transforming paper-based and/or unstructured data into a meaningful schema suitable for analysis.

An important benefit of semantification is the ability for automation to parse content, as originally envisioned by Tim Berners-Lee in his ambitious plan to create a World Wide Web within the boundaries of the early internet. Machine parsing is critical for large datasets that might otherwise overwhelm human moderators.

The Dark Data Project specializes in schemas relating to people, identity, biodiversity and financial activity.

Contact us to discuss specific opportunities for creating richer, more relevant semantic data flows.