Data Integration Document Knowledge Discovery Modeling 
Rocket-Powered Data Science
JULY 6, 2021
So, there must be a strategy regarding who, what, when, where, why, and how is the organization’s content to be indexed, stored, accessed, delivered, used, and documented. Labeling, indexing, ease of discovery, and ease of access are essential if end-users are to find and benefit from the collection. Do not forget the negations.
Ontotext
APRIL 6, 2023
Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data.
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Ontotext
MARCH 8, 2023
Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. However, this information is typically stored in disparate locations, often hidden within departmental documents or applications. million users.
Ontotext
OCTOBER 28, 2021
However, although some ontologies or domain models are available in RDF/OWL, many of the original datasets that we have integrated into Ontotext’s Life Sciences and Healthcare Data Inventory are not. Additionally the level of standardization, integration and normalization in these datasets is of varying quality.
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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