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Ontotext’s Top 5 Most Popular Blog Posts for 2020

Read about another busy year at Ontotext in our traditional round-up of the most popular blog posts we have published throughout 2020.

December 17, 2020 4 mins. read Milen Yankulov

At the end of an unconventional year, we at Ontotext still want to honor our tradition and provide our readers with a round-up of the most popular posts on our blog.

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. Check out our 5 releases for this year – 9.1, 9.2, 9.3, 9.4 and 9.5.

We also continued to improve our knowledge graph platform. In its third generation, Ontotext Platform enables organizations to build, use and evolve knowledge graphs as a hub for data, metadata and content. Check out Ontotext Platform 3.1, 3.2, and 3.3.

All our products and solutions are based on the value of enterprise knowledge graphs and their capacity to manage knowledge, and not data, when they become the infrastructure within organizations. Not surprisingly, blog posts discussing the advantages of using knowledge graphs, GraphDB and Ontotext Platform made up the top five most popular blog posts in 2020, as our analytics showed.

Here’s the countdown of our most popular blog posts this year:

5. From Data Silos to Data Fabric with Knowledge Graphs

This insightful post explains why knowledge graphs and Ontotext Platform make implementing a data fabric approach to enterprise knowledge management easier by providing context via metadata and breaking up data silos.

Take another look at the post to see how data management and data analytics become more efficient in bespoke knowledge graphs built for the specific needs of every business or organization.

4. Ontotext Knowledge Graph Platform: The Modern Way of Building Smart Enterprise Applications

Next up, we have this post discussing why the knowledge graph model helps large enterprises overcome the challenge of actively using most of their structured and unstructured data by streamlining their enterprise knowledge management processes and practices.

Go over this interesting read again for insights into how knowledge graphs help enterprises unlock knowledge in siloed systems via Ontotext Platform for knowledge graphs. The article also explains how enterprise knowledge graphs enable organizations to incorporate machine learning algorithms for the smart interpretation of their data.

3. Return of the Jedi: Ontotext Platform Metamorphosis

Ontotext Platform 3.1

Next on our list of most popular posts is this follow up of the fascinating Star Wars-universe analogy. It explains in detail the most exciting features of Ontotext Platform that make building your own knowledge graphs much easier.

Revisit this post for an in-depth look into all the features including support for declarative Role-Based Access Controls, GraphQL Mutation, GraphQL Federation, GraphQL schema generation (from RDFS/OWL), DockerHub Images, Helm Charts, and Platform monitoring graphs and visualizations. To involve the reader even further, this blog post contains interactive Star War-themed examples.

2. GraphDB Empowers Scientific Projects to Fight COVID-19 and Publish Knowledge Graphs

Landing at number two is this post about GraphDB‘s contribution to the fight against the COVID-19 pandemic and how it helps the scientific community to make sense of messy data. The post sums up the COVID-19-related projects that use GraphDB for data management and visualization. Ontotext’s policy has been to donate to such projects licences for the GraphDB Enterprise Edition as well as support and maintenance services.

Go back to this post to read how The Mayo Clinic, the University of California, Santa Barbara (UCSB), the Cochrane COVID-19 Study Register, and the Kaggle CORD-19 Challenge have used Ontotext’s GraphDB to collect and analyze data related to the pandemic and the disruptions it has brought to global traffic and supply chains.

1. Crafting a Knowledge Graph: The Semantic Data Modeling Way

Number-one on our list of most popular posts is this overview of how to build a knowledge graph in 10 steps and turn disparate data into interlinked coherent knowledge.

Take a look at this post to see a step-by-step approach to building a knowledge graph tailored to your specific needs – from identifying your business and data requirements to making your KG easy to maintain and evolve.

And that concludes the round-up of Ontotext’s most popular posts for 2020.

Happy holidays and let’s enjoy many more fascinating posts on our blog as we head into 2021!

Article's content

Marketing Manager at Ontotext

Milen Yankulov has a vast experience in both traditional and digital marketing communications. His professional interests are related but not limited to Web and News Medias, Semantic Search and Social channels and all digital disruptions that change the way we communicate and do business.

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