Despite its essential nature many organizations and companies have a data problem.
The reality is that we have allowed the meaning of data to become mismatched across systems, databases, and operational boundaries, and we suffer from the limitations of proprietary technology that was state-of-the-art two generations ago.
To fix these problems, we have to fix the data. And we can state unequivocally that this is a solvable problem that does not require a big investment in new technology or the ‘rip and replace’ of existing infrastructure. The pathway is simple – adopt the principles of data hygiene and take advantage of semantic standards for identity, meaning, and business rules.
In this whitepaper, Ontotext demystifies the concepts of knowledge graphs and semantic standards for executive stakeholders, exploring:
- The essential building blocks of semantic standards
- The foundational capabilities of knowledge graphs
- The value drivers and use cases of these two concepts
