Ontotext

JULY 29, 2021

Knowledge graphs (KG) came later, but quickly became a powerful driver for adoption of Semantic Web standards and all species of semantic technology implementing them. This way KGs help organizations smarten up proprietary information by using global knowledge as context for interpretation and source for enrichment.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

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. Exascale computing refers to systems capable of at least one exaFLOPS calculation per second and that is billion billion (or if you wish a quintillion) operations per second.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

AWS Big Data

SEPTEMBER 26, 2024

Solution overview The AWS Serverless Data Analytics Pipeline reference architecture provides a comprehensive, serverless solution for ingesting, processing, and analyzing data. For more details about models and parameters available, refer to Anthropic Claude Text Completions API.

Data Lake 114

Data Lake Cost-Benefit Unstructured Data Modeling 114

Ontotext

AUGUST 22, 2023

Without metadata management and other data-related operations with semantic technologies, organizations often struggle to connect data sets and achieve a unified view of their enterprise data. Enter the Semantic Edge Era: How to Derive Value from Semantic Metadata The problem with Big Data is not the data itself.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

Ontotext

AUGUST 15, 2019

Still, newcomers are advised to dedicate some time to any of the excellent SPARQL tutorials out there, some of which are referred to in the FAQ section of the training page. Therefore, we provide a theoretical overview of both, including some practical exercises in SPARQL.

Knowledge Discovery 70

Knowledge Discovery Technology Metadata Interactive 70

Ontotext

AUGUST 16, 2019

Still, newcomers are advised to dedicate some time to any of the excellent SPARQL tutorials out there, some of which are referred to in the FAQ section of the training page. Therefore, we provide a theoretical overview of both, including some practical exercises in SPARQL.

Knowledge Discovery 40

Knowledge Discovery Technology Metadata Interactive 40

Ontotext

FEBRUARY 21, 2024

We have our data indexed in the vector database and we want to answer our targeted question “ What are some common applications of knowledge graphs? “. Let’s see how we’ve approached this with our Ontotext Knowledge Graph project. answer { { select ?question question (GROUP_CONCAT(?snippetText; snippetText; separator=". ") as ?

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64