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RDF-Star: Metadata Complexity Simplified

Ontotext

Graph Databases vs Relational Databases. With graph databases the representation of relationships as data make it possible to better represent data in real time, addressing newly discovered types of data and relationships. Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter.

Metadata 119
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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

This is accomplished through tags, annotations, and metadata (TAM). Clearly, such a content delivery system is not good for business productivity. I believe that this product is good” is quite different from a post that states “Yeah, sure. I believe that this product is good. Collect, curate, and catalog (i.e.,

Strategy 266
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How to Build Knowledge Graphs for Enterprise Applications with Two Industry Leaders

Ontotext

For example, offering more of the same product or content instead of complementary items Analytics tools that don’t really support decision making Chatbots that fail the Alan Turing test You name it! How can you build knowledge graphs for enterprise applications? They own two of the top-rated knowledge graph products on the market.

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Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics, Part 3: Visualization and trend analysis using Amazon QuickSight

AWS Big Data

In this post, we explore how to connect QuickSight to Amazon CloudWatch metrics and build graphs to uncover trends in AWS Glue job observability metrics. With this integration, you can use line charts, bar charts, and other graph types to uncover daily, weekly, and monthly patterns.

Metrics 103
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How Huron built an Amazon QuickSight Asset Catalogue with AWS CDK Based Deployment Pipeline

AWS Big Data

Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. This is a guest blog post co-written with Corey Johnson from Huron.

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Ontotext’s Top 5 Most Popular Blog Posts for 2020

Ontotext

In 2020, we continued to develop our leading database engine for management of knowledge graphs, GraphDB , and expanded it with a lot of new functionalities. We also continued to improve our knowledge graph platform. From Data Silos to Data Fabric with Knowledge Graphs. Check out Ontotext Platform 3.1 , 3.2 , and 3.3.

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Next-Gen Graph Technology: A CDO Matters Podcast with Ontotext’s CMO Doug Kimball

Ontotext

And then from there, give us the elevator pitch of graph. We’ve been around for 20-plus years focusing on semantic knowledge graphs. Graph technologies are a way to store and represent data in a more graphical way. That’s one of the key things I look at from graphs. Doug : Sure. Would you agree?