Most research-driven companies have many different data sources used by their teams. The result is a system of data silos characterized by: different data models, different vocabularies for common concepts and different levels of contextual information. This disconnection affects innovation.
The solution is an ontology-driven data integration tool that brings together data and semantics to create semantified-data. SputniQ is a proof of concept within the chemical domain that illustrates the value of adding semantics to the data.
The user interface provides information on different chemical experiments that can be presented and used in a standardized format by different teams.