Analytics Knowledge Discovery Modeling Structured Data 
Ontotext
MARCH 8, 2023
Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Several factors are driving the adoption of knowledge graphs. Graph-based solutions further leverage the relationships among the entities involved to create a semantically enhanced machine learning model.
Ontotext
SEPTEMBER 15, 2020
There must be a representation of the low-level technical and operational metadata as well as the ‘real world’ metadata of the business model or ontologies. Connecting the data in a graph allows concepts and entities to complement each other’s description. Create a human AND machine-meaningful data model.
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Ontotext
MAY 18, 2020
These are the so-called supercomputers, led by a smart legion of researchers and practitioners in the fields of data-driven knowledge discovery. Thanks to their might, now scientists and practitioners can develop innovative ways of collecting, storing, processing, and, ultimately, finding patterns in data. Certainly not!
Ontotext
APRIL 27, 2021
Compared with other industries, healthcare has a fair amount of structured data, which is helpful. Ontotext has years of experience transforming data into knowledge across a number of industries and especially in the healthcare sector. It is from those connections that new discoveries are made. Tried and Tested.
Ontotext
JULY 29, 2021
The Semantic Web started in the late 90’s as a fascinating vision for a web of data, which is easy to interpret by both humans and machines. One of its pillars are ontologies that represent explicit formal conceptual models, used to describe semantically both unstructured content and databases.
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