Rocket-Powered Data Science

JULY 6, 2021

Techniques that both enable (contribute to) and benefit from smart content are content discovery, machine learning, knowledge graphs, semantic linked data, semantic data integration, knowledge discovery, and knowledge management.

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

Ontotext

FEBRUARY 19, 2020

Paradoxically, even without a shared definition and common methodology, the knowledge graph (and its discourse) has steadily settled in the discussion about data management, data integration and enterprise digital transformation. Ontotext’s 10 Steps of Crafting a Knowledge Graph With Semantic Data Modeling.

Modeling 90

Modeling Knowledge Discovery Data Quality Visualization 90

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.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Ontotext

AUGUST 3, 2023

This has enabled them to meet the requirements coming from heterogeneous data in building automation systems, the interoperability issues critical for design engineering and, last but not least, the challenges in air-traffic control. The framework addresses current data integration needs and prepares for future capability.

Knowledge Discovery 52

Knowledge Discovery Broadcasting Technology Publishing 52

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.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Ontotext

DECEMBER 1, 2023

So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic data integration , and ontology building.

Metadata 78

Metadata Sales Machine Learning Consulting 78

FineReport

JULY 16, 2021

In addition, data warehouse provides a data storage environment where data onto multiple data sources will be ETLed(Extracted, Transformed, Dunked) , cleaned up, and stored on a specific topic, indicating powerful data integration and maintenance capabilities of BI. Data Analysis. Data Visualization.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98