AWS Big Data

SEPTEMBER 26, 2024

Organizations are collecting and storing vast amounts of structured and unstructured data like reports, whitepapers, and research documents. End-users often struggle to find relevant information buried within extensive documents housed in data lakes, leading to inefficiencies and missed opportunities.

Data Lake 115

Data Lake Cost-Benefit Unstructured Data Modeling 115

Ontotext

APRIL 6, 2023

Read our post: Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What? For some time, the manufacturing industry has been benefiting significantly from knowledge graph technology. standards modeled in a knowledge graph! But the benefits of knowledge graphs don’t stop there.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Ontotext

AUGUST 19, 2020

Separate documents called schemas let you describe the structure and restrictions of the data being described. Separating the definitions of the metadata from the data had the benefit of simplifying validation and introducing flexibility. More and more content such as documents, videos, sound was natively digital. Better search.

Metadata 59

Metadata Knowledge Discovery Cost-Benefit Data Governance 59

Domino Data Lab

JUNE 15, 2021

If you are not familiar with the standard JAR file structure, you can read the Packaging Programs in JAR Files tutorial in the official Java documentation. This brings extra benefits like security, versioning, and portability, but more importantly, archives allow you to package additional files alongside your classes.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Ontotext

FEBRUARY 21, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. So we can easily integrate the information from both textual documents and structured RDF entities into an LLM-driven application.

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64

Ontotext

NOVEMBER 11, 2024

With the help of natural language processing (NLP), text documents can also be integrated with knowledge graphs. Given that many researchers say that between 75-85% of an organization’s knowledge is locked in static documents, tremendous value and wisdom are being missed. Today’s data ecosystems are also global.

Metadata 52

Metadata Knowledge Discovery Data Integration Management 52