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Ontotext’s Most Popular Blog Posts for 2019

Read about another busy and exciting year at Ontotext in our traditional round-up of the most fascinating blog posts we have published throughout 2019.

December 30, 2019 4 mins. read Milen Yankulov

As 2019 comes to an end, we at Ontotext are taking stock of the most fascinating things we have done to empower knowledge management and knowledge discovery this year.

In 2019, Ontotext open-sourced the front-end and engine plugins of GraphDB to make the development and operation of knowledge graphs easier and richer. We also released Ontotext Platform 3.0 for enterprise knowledge graphs, featuring GraphQL interfaces to help application developers access big knowledge graphs more efficiently.

In 2019 we have published many engaging blog posts on various topics and now, at the end of this exciting year, we have analyzed your interest in them and would like to present the top 5 most fascinating blog posts for 2019.

Our analytics shows that in 2019 (just as in 2018), the knowledge graph remains the unrivaled star of our most popular blog posts. It means that you, our audience, are still interested in learning more about how knowledge graphs can help you integrate, manage and analyze complex sets of diverse data to discover new insights locked in it.

Here’s our countdown:

It Takes Two to Tango: Knowledge Graphs and Text Analysis


This insightful post explains Ontotext’s strengths in combining two technologies – the knowledge graph and text analysis – and how you can take advantage of them in Ontotext Platform. The solution relies on the synergy, or the amazing tango that the knowledge graph and text analysis dance, to help machines ‘understand’ the human language and provide improved solutions to the data and information challenges in the digital era.

Revisit this blog post to see how the knowledge graph improves text analysis while being enriched with new concepts and relationships extracted from text analysis. The tango of the two technologies results in a semantically enriched solution to better analyze and make sense of text and data.

Artificial Intelligence and the Knowledge Graph

This fascinating post not only explains the science behind artificial intelligence (AI). It also delves into the capabilities of the knowledge graph and Ontotext’s GraphDB semantic graph database to provide machines with enough context to perform tasks defined by the umbrella term AI. The flexibility of the knowledge graph to add context and information and the capability to infer relationships out of huge amounts of data makes knowledge graphs the preferred solution to help computers understand information the way humans do.

Take a look at the post to learn more about the capabilities of the knowledge graph and Ontotext’s solutions based on AI with plugins such as Semantic Similarity.

Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What?

Next up, we have this brilliant blog post about knowledge graphs and how they help organizations get more out of their data and information and turn them into knowledge.

Knowledge graphs built with Semantic Technology, such as Ontotext’s GraphDB, enable semantic data integration and management, semantic annotation, and semantic search.

Go back to the post to see how enterprises and organizations can make their knowledge management smarter, richer and faster by using knowledge graphs to store and query data, analyze relationships, detect patterns and infer new facts from enriched datasets.

Telling Stories with an RDF Database

Next on our list is this very interesting article about RDF triplestores – the type of graph database that stores semantic facts. The RDF triplestore, also referred to as an RDF database, helps the authoring and publishing workflow by not only integrating data but also connecting and cross-referencing content.

Jump back to this post to see how an RDF database serves as a smart content creation system to pull data and tell stories. RDF triplestores enhance search experience, allow better navigation and integration of content, and provide easier access to information from different datasets in various formats.

A New Hope: The Rise of the Knowledge Graph


As the headline suggests, this remarkable blog post is an immersive navigation through the universe of Star Wars with the help of the knowledge graph and the SPARQL and GraphQL query languages.

Ontotext has built a Star Wars knowledge graph using RDF to showcase the new version of the Ontotext Platform, which uses a knowledge graph and text analytics to interlink and enrich knowledge graphs and at the same time improve text analytics accuracy.

Read this riveting post to learn about Ontotext Platform 3.0 – the ultimate solution to provide better exploration, analysis, search, classification, and recommendation across diverse information spaces. And all this – through examples from the Star Wars universe!

And this concludes our review of Ontotext’s most popular posts for 2019.

Here’s to the New Year and many other fascinating posts on our blog as we head into 2020!

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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