Enterprise
Semantic Layer
Unite data at scale and embrace data centricity.
The flexibility and power of knowledge graphs enable organizations to unite metadata from any application, business unit, domain or geography. This catalog of catalogs not only eliminates data silos, it enables data-centric solutions to data management that can automate business operations, improve the reusability of your data and lay the ground for AI initiatives at scale.
Consolidate metadata with a catalog of catalogs.
Govern and use all your data dynamically with semantics.
Scale LLM and AI initiatives.
Collecting metadata from technical, business and operational metadata into a single semantic layer provides context for data by representing its meaning, business significance, and relationships with other data. Simply put, when metadata is available in an effective way, data becomes more valuable.
TopBraid EDG makes it possible for organizations to:
- Understand your data: Connect data silos and trace data lineage across all business systems
- Increase productivity: Through understanding the impact of proposed data changes and enabling collaboration between business and technical stakeholders
- Improve business decisions: Create digital twins to combine, integrate, exchange and analyze information more effectively and reliably
- Reduce business risks: By knowing how – and when – you can use and share the data
Related Knowledge
Visual Exploration of Ontologies with TopBraid EDG
Users often want to explore knowledge models visually. Diagrams help them in understanding the models and are especially useful when discussing models with colleagues.
What Are Classonomies – and why you may want to avoid them
Many of our customers have told us of the challenges of working with classonomies. To better understand what I mean by a classonomy, read this blog.
Why I Don’t Use OWL Anymore
This blog discusses why, after supporting OWL, Irene Polikoff, co-founder of TopQuadrant, has completely abandoned it in favor of SHACL.
Why I Use SHACL For Defining Ontology Models
This is the second blog on what modeling language we recommend to use when creating ontologies. In this blog I will talk about what I do use.
Semantic Search with Knowledge Graphs
Traditional keyword-based search engines fall short in delivering relevant results. Semantic search with knowledge graphs is the answer.
Modeling Graph Relationships
This blog offers advice on selecting a direction of the graph relationships, supporting inverse relationships and naming a relationship.
