Ontotext

JULY 13, 2023

Knowledge graphs have greatly helped to successfully enhance business-critical enterprise applications, especially those where high performance tagging and agile data integration is needed. How can you build knowledge graphs for enterprise applications? Do you identify with any of these experiences?

Enterprise 52

Enterprise Metadata Digital Transformation Data Integration 52

Ontotext

NOVEMBER 23, 2023

In this third and final post of the series, we will review the advantages of Ontotext GraphDB ‘s support for SHACL. In this third and final post of the series, we will review the advantages of Ontotext GraphDB ‘s support for SHACL. Bulk validation is great when data comes together nicely as one big package.

Data Quality 69

Data Quality Reporting Metadata Big Data 69

Ontotext

AUGUST 3, 2023

In this installment of GraphDB In Action we invite you to think of buildings, cyber-physical environments and skies as knowledge spaces built of data. With the research work we’ve picked this time, we walk you through diverse projects that have used Ontotext’s RDF database for knowledge graphs, GraphDB.

Knowledge Discovery 52

Knowledge Discovery Broadcasting Technology Publishing 52

Ontotext

APRIL 20, 2023

In our previous blog post, Bridging the Gap Between Industries: The Power of Knowledge Graphs – part I , we talked about starting the day with our smart car looking out for us, powered by knowledge graph technology.

Optimization 52

Optimization Manufacturing Cost-Benefit Data-driven 52

Ontotext

JANUARY 20, 2022

So far we have covered the capabilities and business applications of knowledge graphs as well as some of the major benefits of our RDF database – GraphDB. We’ve already discussed that enterprise knowledge graphs bring together and harmonize all-important organizational knowledge and metadata.

Enterprise 52

Enterprise Unstructured Data Visualization Modeling 52

Ontotext

JULY 14, 2021

In the last couple of years, we’ve had so many Ontotext webinars on interesting topics, attended by an increasing number of people, asking more and more questions that we’ve decided to start a new series of blog posts dedicated to them. We can address many of their challenges with our products – GraphDB and Ontotext Platform.

Management 52

Management Metadata Cost-Benefit Enterprise 52

Ontotext

JUNE 15, 2023

A graph database is a type of database that stores data as nodes and relationships instead of tables. Graph databases excel in handling complex and interconnected data and have become the go to solution for many enterprise challenges.

Machine Learning 52

Machine Learning Data Integration Big Data Testing 52

Ontotext

JULY 26, 2019

Frequently dubbed too difficult to build or too complicated to understand, semantic technology is increasingly gaining popularity. Whether you refer to the use of semantic technology as Linked Data technology or smart data management technology, these concepts boil down to connectivity. Why a Knowledge Graph?

Technology 40

Technology Data Integration Enterprise Structured Data 40

Ontotext

AUGUST 30, 2024

It’s no secret that data scientists and researchers spend 80% of their time on the less glamorous tasks of chasing down data, cleaning it up, and making sure it’s not full of nonsense. During the target identification phase of drug development, several challenges related to data can impede progress.

Interactive 52

Interactive Metadata Dashboards Cost-Benefit 52

Ontotext

AUGUST 30, 2024

It’s no secret that data scientists and researchers spend 80% of their time on the less glamorous tasks of chasing down data, cleaning it up, and making sure it’s not full of nonsense. During the target identification phase of drug development, several challenges related to data can impede progress.

Interactive 52

Interactive Metadata Dashboards Cost-Benefit 52

Ontotext

MARCH 8, 2023

Graph solutions have gained momentum due to their wide-ranging applications across multiple industries. 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.

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. Natural Language Query (NLQ) has gained immense popularity due to its ability to empower non-technical individuals to extract data insights just by asking questions in plain language.

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64