Stardog is making its product available to the public in a free, hosted environment - Technical.ly DC

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Feb. 12, 2019 12:22 pm

Stardog is making its product available to the public in a free, hosted environment

The Arlington, Va.–based company released Stardog Sandbox, where users can experiment with queries, mappings, and capabilities with no installation, setup, or configuration required.

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(Photo by Pixabay user geralt, used under a Creative Commons license)

Stardog, a venture-backed enterprise software company and provider of Enterprise Knowledge Graph tech, released something new for people interested in how its product works.

The Arlington, Va.–based company launched Stardog Sandbox, where users can experiment with queries, mappings, and capabilities with no installation, setup, or configuration required. The first Sandbox is equipped with pre-built, industry-specific datasets and sample SPARQL queries for finance, films, and clinical trials. Users can access the platform online to build a personalized Sandbox experience.

“Our community has asked us to provide a hosted learning testing ground and we listened,” Stardog CEO Michael Sachse said in a statement. “Sandbox will allow our community to experiment, learn, and build their skills. Knowledge graphs are going to be a core part of enterprise infrastructure, and Sandbox is a great way for programmers to get started.”

As Technical.ly DC previously reported, a knowledge graph is a platform used to de-silo large scale datasets.

Currently, users can explore the Financial Industry Business Ontology (FIBO) to gain insight into how financial instruments, business entities and financial processes work across the industry, Stardog said in a press release. Users can also sift through movie releases, box office earnings and actors/actresses. For clinical trials, the Sandbox also includes a biomedical vocabulary produced by the National Library of Medicine.

Over time, the company said it will add more public datasets and functionality to the Sandbox along with more functionality including virtualization capabilities, machine learning, new pre-built datasets and an unstructured data unification and processing engine.

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