TopBraid technology stack offers a complete solution for services and applications that operate on Linked Data aka Knowledge Graphs
A Complete Solution for Services and Applications
TopBraid builds upon the Knowledge Graph standards, offering powerful tools for specifying business rules, describing user interfaces, providing web services and more. These standards include:
Knowledge Graphs: A Powerful Platform for Enterprise Data Integration
Knowledge graphs are an ideal and viable foundation for bridging and connecting enterprise metadata silos. Every resource in a TopBraid knowledge graph has a globally unique dereferenced web identifier – a URI. Thus, can be reliably referred to and accessed from any application.
Graphs are the most flexible formal data structures (making it simple to map other data formats to graphs) that capture explicit relationships between items so that you can easily connect new data items as they are added and traverse the links to understand the connections.
Knowledge graphs are able to accommodate diverse data and metadata that adjusts and grows over time, much like living things do.
The semantics of data are explicit and include formalisms for supporting inferencing and data validation. As a self-descriptive data model, knowledge graphs enable data validation and can offer recommendations for how data may need to be adjusted to meet data model requirements.
The meaning of the data is stored alongside the data in the graph, in the form of the ontologies or semantic models. This makes knowledge graphs self-descriptive.
Core Technology and Infrastructure
The foundation of TopBraid platform is RDF, which also serves as the base infrastructure of the Semantic Web and Linked Data. The platform implements W3C standards including RDF, RDFS, SHACL, SPARQL and OWL and provides rich capabilities on top of these technologies.
TopBraid platform includes a scalable, transactional graph database for storing triples. Since most information today is stored in other formats, TopBraid dynamically accesses diverse data sources to bring their data into its knowledge graph.
Information need for data validation and reasoning is represented using SHACL constraints and rules. These are defined in a completely declarative manner, entirely in RDF. TopBraid offers rich reasoning capabilities using rules and integration with Machine Learning algorithms.
Maintains a history of all changes in the data. Audit trail includes timestamps and information about who made the change. It is also used to create sandboxed version of changes for automated workflows.
Represented in either SHACL or SPIN, provided through forward and backward chaining rules engines and declarative languages for defining mappings between models.
Supported using SPARQLMotion, a declarative language with a visual notation and a corresponding engine. Scripts use pre-built modules for loading data, running transformations and exporting the results. SPARQLMotion is aimed at modelers and business analysts who want to use high level graphical tools.