Ontotext
AUGUST 22, 2023
Worse, and according to Gartner, upward of 80% of enterprise data today is unstructured which further exacerbates the loss of knowledge, insights, and the wisdom needed to make effective business choices. As a result, organizations are looking for fresh data integration approaches to challenge the mindset with which we created them.
Ontotext
APRIL 6, 2023
It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. This model is used in various industries to enable seamless data integration, unification, analysis and sharing. standards modeled in a knowledge graph!
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Ontotext
DECEMBER 30, 2019
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.
Ontotext
OCTOBER 28, 2021
This might be sufficient for information retrieval purposes and simple fact-checking, but if you want to get deeper insights, you need to have normalized data that allows analytics or machine interaction with it. Although there are already established reference datasets in some domains (e.g. Semantic Data Integration With GraphDB.
Ontotext
JULY 29, 2021
We rather see it as a new paradigm that is revolutionizing enterprise data integration and knowledge discovery. It is these two important types of data, which, taken together, implement the Semantic Web vision bringing forward innovative ways of tackling data management and data integration challenges.
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