Traverse connected data to discover lineage and context

Sometimes the answer you need is expressible as a simple fact: What is the social security number of person X? What is the risk factor for investment Y? But in other cases, understanding and using the connectedness of the knowledge graph — using the path from one node to another — is key to finding the answer to your questions. For example, what does the supply chain look like for this batch of troublesome parts? Or, how are these two financial organizations related to these five transactions and these three shadowy political figures?

Stardog Explorer is an intuitive web-based application to browse, search, and query the connections in your data fabric. You can traverse the graph—across materialized and virtualized sources—and find different kinds of paths, even over inferred relationships, where there is not an explicit edge between two nodes but a pattern that links those nodes. There are several ways you can begin your exploration, whether you want to visualize the canvas of your knowledge graph, query for patterns in your data using the Query Builder, or simply type in a search keyword.

Explorer makes it possible to:

• Empower citizen data users to ask complex business questions easily via the semantic layer
• See your data in the context of the business concepts that matter to your use case
• Quickly traverse relationships to identify patterns across data, regardless of its location
• Gain insights on large volumes of data to speed up downstream analytics

With Explorer, you can explore metadata and data, conduct semantic searches, visually build queries using models, and even share your insights with others through share links and exports.