Knowledge Hub
Go beyond the limits of traditional knowledge management
When we think about the challenges of modern data, content, and knowledge management in companies, it is no longer just a question of the sheer volume of data. Today, we ask ourselves questions about findability, fact fidelity, referenceability, reusability, machine processability, and many other similar issues. A future-proof solution to this challenge that can be implemented rather quickly is the semantic 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 a unified business knowledge hub built on interoperable knowledge graphs. These intelligent applications use your data more effectively so that you can benefit from a more productive workforce and a happier customer base.
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.
Explore Our Success Stories
Turning a Legacy Thesaurus into a Strategic Knowledge Asset
With Graphwise’s Data Management Suite, CABI transformed its outdated, single-use thesaurus for smarter search.
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Digital Transformation as an Accelerator for Semantic Technologies
Wolters Kluwer used Graphwise’s Knowledge Management Suite to streamline enterprise taxonomy management and accelerate digital transformation.
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JobTeaser: Building Tailored User Profiles for Career Navigation with Ontologies
JobTeaser used Graphwise’s Data Management Suite to build ontologies and controlled vocabularies.
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Building a Collaborative Knowledge Hub for AI-Powered Predictive Intelligence
Sensing Clues implemented Graphwise’s Knowledge Management Suite to build vast organizational knowledge models.
Read moreDownload the White Paper
This white paper gives an introduction to semantic layers and how they can be used to connect data silos and enable intelligent applications