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I’m excited to introduce Stardog 7.9.0, which contains exciting new capabilities and features to help companies bring data together, identify new insights, and enable data-informed decisions. The main attraction of this release is our new Stardog Designer application, a no-code, visual environment to help rapidly engineer knowledge graphs to drive down the time and cost of generating insights based on cross-domain data.
Announcing Stardog Designer, a new, visual environment for creating and maintaining your Knowledge Graph. Designer is an application for no-code, visual modeling and data source mapping. Designer makes implementing a knowledge graph much more intuitive, especially for those new to graph databases.
Practical steps for building knowledge graphs: powerful tools for linked data, data integration, and data management. Scale all those use cases that have been inspired by data science. Increase your number of users, as needed. And spread the use of data itself. Do you really need a knowledge graph? Data rules the world. But organizations struggle to leverage that data for a competitive advantage. Raw, uninterpreted data in a system somewhere isn’t very helpful.
The tricky task of benchmarking Enterprise Knowledge Graphs—what potential clients ask for, what factors affect benchmarking, and more. A Q&A with Stardog’s CTO, Evren Sirin.
Pavel Klinov, Stardog VP of Research and Development, is back from the Dagstuhl Seminar on Graph Databases and Network Visualization, held at the Leibniz Center for Informatics in Germany from January 16 – 21, 2022. We asked him about his experience.
Data spans wide and runs deep across enterprises. It’s often tucked into pockets and silos. If data hasn’t been all brought together yet, it can be incredibly difficult to parse the exact business value of doing so. Data modernization and innovation can be tough to nail down in terms of ROI.
In contrast to typical enterprise search solutions, knowledge graph-powered search returns fewer, more relevant results, reducing time spent searching up to 90%. A knowledge graph improves search by capturing the meaning of the search terms. Read on to learn how to build a semantic search application using a knowledge graph.
We hear from many of our customers that they’re interested in building a data fabric, but they’re not sure how to get started. Luckily, with a knowledge graph-based approach, you can start small and grow your data fabric over time. In this post, we’ll share an easy, approachable 5-step process for getting started with a data fabric.
Two experts from Stardog and Stardog partner Lymba sat down to discuss trends in graph and NLP. Read on to find a transcript of some highlights from their conversation and a full video of the interview!
Visualizing your data is a great way to eyeball your analysis and share the results with colleagues. Stardog is making this easier with a new feature in Studio: Stardog Charts.
Our latest benchmark report proves a 1 trillion-triple knowledge graph consisting of materialized data and Virtual Graphs spanning hybrid multicloud data sources.
With our new tool Stardog Explorer, it’s easier than ever to search, browse, and understand connected data. No querying, no code — just an intuitive interface that anyone can use. Read on to learn more.