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Introducing Stardog 8.0
Introducing the next major release of our Enterprise Knowledge Graph platform - Stardog 8.0, which contains new innovations to streamline data exploration and discovery for all citizen data users. Stardog 8.0’s new capabilities eliminate the need for specialized skills when querying a reusable, flexible semantic data layer, making it easier than ever before to accelerate data-driven insights across the enterprise.
Round-up: Knowledge Graph Conference 2022
KGC 2022 is in the books. Read about Stardog’s SVP of Engineering Mike Grove’s experience and conference presentation.
3 Ways Knowledge Graphs Can Fuel Big Data Analytics in Automotive, Now
What is the most disruptive force in the automotive industry? Electric engines? New business models? Consumer mobility? Nope. The real firebrand for the industry lies in a different kind of engine known as data. Automakers, suppliers, and dealers must adapt quickly to the changing landscape by harnessing the power of data and knowledge graphs to jump-start advanced analytics today.
Why X-Tech Startups are Seizing on Knowledge Graph
The phrase “every company is a tech company” is giving way to “every company is a data company,” which I believe means the value of technology is shifting from applications to data. And as the size and complexity of data multiply, organizations are increasingly turning to semantic knowledge graphs to harness data and unleash insights that fuel data-informed decisions.
Knowledge Graphs and Machine Learning
Knowledge graphs make it easier to feed better and richer data into ML algorithms. The inherent traits of knowledge graphs posit them as a top tool of modern AI and ML strategy. Let’s examine a few ways in which they help.
Announcing Stardog 7.9.0
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.
Introducing Stardog Designer
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.
How to Build a Knowledge Graph
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.
Benchmarking Needs for Enterprise Knowledge Graph Excellence (and Awe)
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.
Dagstuhl 2022: Graph Databases and Network Visualization
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.
Discover the Overlooked ROI of an Enterprise Knowledge Graph Platform
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.
Video interview: 2 Experts Discuss Graph and NLP
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!