Knowledge Hub
Backed by semantic technologies, a Graphwise Knowledge Hub provides a comprehensive solution for the further development of your existing knowledge infrastructure.
Put Semantics into the Mix
The good news is that you don’t have to start from scratch to build a knowledge hub – it draws upon and connects your current applications and systems. We add a so-called “semantic layer” to these established parts of your knowledge infrastructure, opening up a new world of functions and possibilities. Thus you can benefit from semantic advantages with advanced text mining, taxonomies, concept tagging, knowledge graphs, semantic search, insight and recommender systems.
The beauty of the semantic layer
Altogether, our semantic capabilities allow you to transform inconsistent metadata often found in siloed systems into interoperable knowledge graphs that build the foundation for intelligent applications. These applications use your data more effectively so that you can benefit from a more productive workforce and a happier customer base.
Company-wide consistency
No matter where your knowledge resides or will be used, profit from a standardized, universal language of your content.
Orchestrated Governance
A semantic layer sits between the data and the applications, providing the digital infrastructure with the right levels of management, authentication and authorization.
Factual Fidelity
The ability to access a single version of truth is a requirement for deployment scenarios in regulated and critical industries.
Less Time to Insights
We combine the knowledge of your experts with the power of machines to produce data that is easier to access, use, and understand.
How a knowledge hub fuels your systems with relevant data
A knowledge hub draws from the underlying knowledge graph which is a data model that maps all the connections between data assets. Knowledge graphs serve as a context engine to enable a unified access of knowledge across various systems that are derived from assets in different sources and formats.
Knowledge
- Conceptual Knowledge
Understanding of concepts, principles, theories, models, classifications, etc. - Procedural Knowledge
How to perform a specific task related to methods, procedures, or equipment operation. - Implicit Knowledge
Gained through daily operations and employee expertise.
Systems
- Multiple content management systems
- Document management systems
- Digital asset management systems
- Employee experience platforms
- Internal collaboration software
- Partner collaboration spaces
Assets
- Policies, procedures, guidelines
- Product info/technical documentation
- Customer information
- Marketing content/collaterals
- Internal research information
- External/market research information
- People/expert resources
Turn your existing systems into a knowledge hub and gain a unified view of all your data pertaining to a subject regardless of where the data came from, or whether it’s structured or unstructured.
Resources to get started
You find the concept as attractive as we do? Great! Here are some resources to deepen your understanding of the knowledge hub, assess how your organization can most benefit from it, and talk to an expert.Success Story
A Knowledge Hub at HealthDirect Australia: The Basis for Innovative Health Services
Healthdirect Australia has become the most widely used Australian health information site in the country. See how Graphwise helps the company connect data so that Australian citizens can find information about their symptoms and proceed with next best actions.
Watch the Panel Discussion!
Learn from three leading software vendors how knowledge portals a.k.a knowledge hubs turn data into business intelligence.
Webinar