What is a Knowledge Graph?
A knowledge graph is a smart database where the meaning and relationships of the data are clearly defined, connected, and tagged according to a standard semantic structure called an ontology. MindPeer uses proprietary architecture that combines a graph database, or triple store, with a document store to enable search, retrieval, and matching engine scalability.
What is an Ontology?
An ontology is a formal representation of items in a domain of interest that are framed with formal logic. This creates the basis for a common data schema for the knowledge graph, which contains data representing those items in the world. An ontology enables the use of automated reasoning to draw inferences from the data or to classify items as needed for specific use cases and reports.
Benefits of knowledge graph architecture
Enhanced semantic search
Storing the information in reports in a knowledge graph makes content from all past reports significantly more findable and reusable.
Cost-efficient data integration
Knowledge graphs can lower the cost of data management by easily breaking down traditional data silos across various systems to facilitate integration and alignment.
Broad exploration
Knowledge graphs provide discoverability of links and relationships among subjects of interest, since data regarding items of interest are in a single common language.
Organized reporting
Automated reasoning via the knowledge graph enables classification of subject matter as needed in the context of any specific reporting requirement.
