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Ontotext Expands To Help More Enterprises Turn Their Data into Competitive Advantage

Ontotext

Those are bold plans, because in 2022 we received recognition for what we’ve achieved through investment to help us expand, accelerate growth and engage the market with the technology we’ve been developing for 20 years. Over the next 3 years Ontotext transformed itself into a product focused company with over 30% revenue growth.

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Ontotext’s Top 5 Most Popular Blog Posts for 2020

Ontotext

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.

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Graphs on the Ground Part II: Knowledge Graphs in the Life Sciences

Ontotext

Only by making connections between all of these sources and their own proprietary data can enterprises identify potential new treatments. A friend of mine went whale watching recently. He spent a small fortune on tickets for his family and then proceeded to sit on a boat for four hours scouring the ocean for any sign of life.

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Building Your Human Benchmark with Ontotext Metadata Studio

Ontotext

Assessing the abilities of Artificial Intelligence (AI) systems is a critical aspect of development that has become increasingly important as AI has expanded into various areas of application. An area of AI that Ontotext has been working on for over 20 years is text analytics. You can read more about it in this blog post.

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You Cannot Get to the Moon on a Bike!

Ontotext

The reason is that the inherent complexity of big enterprises is such that this is the simplest model that enables them to “connect the dots” across the different operational IT systems and turn the diversity of their business into a competitive advantage. Yet, you don’t expect to be able to get to the moon on a bike, do you?

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If Johnny Mnemonic Smuggled Linked Data

Ontotext

Had Johny known and used semantic technology, and more specifically Linked Data, to “transport” tons of bits of information, would he have been better off as a data carrier? Which are not so different from the concerns of any other enterprise having to deal with data management. Today, I want to invite you to a thought experiment.

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Ontotext’s Semantic Approach Towards LLM, Better Data and Content Management: An Interview with Doug Kimball and Atanas Kiryakov

Ontotext

Many enterprise data and knowledge management tasks require strict agreement, with a firm deterministic contract, about the meaning of the data. They can also help with “oversight”: validation, explanation and filtering of the answers of an LLM. Let me share a few examples of how LLMs help knowledge graphs.