Ontotext

JULY 26, 2019

In this article, we argue that a knowledge graph built with semantic technology (the type of Ontotext’s GraphDB) improves the way enterprises operate in an interconnected world. Such an approach, no matter what name we use for it, is all about improving the way enterprises operate in an interconnected world.

Technology 75

Technology Enterprise Data Integration Structured Data 75

Ontotext

SEPTEMBER 26, 2024

We have already explained how to deploy GraphDB in a generic environment and on Azure. This post will guide you through deploying GraphDB in your AWS account using our Terraform scripts. This post will guide you through deploying GraphDB in your AWS account using our Terraform scripts. Ontotext does not stop here, of course.

Snapshot 59

Snapshot Testing Dashboards Enterprise 59

Ontotext

JUNE 27, 2024

This blog post delves into the PPR modeling paradigm, highlighting its significance and application in robot-based automation. Scalability : Supporting the expansion of knowledge bases as new products, processes, and resources are introduced. What is the PPR Modeling Paradigm?

Modeling 72

Modeling Manufacturing Software Management 72

Ontotext

FEBRUARY 9, 2024

This blog post will present a NLQ integration for Ontotext GraphDB in LangChain: a framework designed to simplify the creation of applications using LLMs. The diagram above offers a high-level overview of how NLQ for GraphDB works in LangChain. If the generated query is a valid SPARQL query, then it is executed against GraphDB.

Manufacturing 69

Manufacturing Modeling Interactive Business Intelligence 69

Ontotext

NOVEMBER 5, 2019

Ontotext Platform synergizes knowledge graphs and text analysis as follows: Knowledge graphs can improve text analysis performance. Text analysis can extract new concepts and relationships, which can be added to enrich a knowledge graph with information not available from structure sources. nouns, verbs, adjectives, etc.)

IT 69

IT Technology Modeling Analytics 69

Ontotext

JANUARY 10, 2024

In this post, which is a matured version of my opening keynote at Ontotext’s Knowledge Graph Forum 2023 , I will start with evidence about the impact of complexity on the growth and efficiency of big enterprises. This requires new tools and new systems, which results in diverse and siloed data.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Ontotext

SEPTEMBER 30, 2021

This blog post goes through the basics of the joint solution delivered by Ontotext and metaphacts to speed up this journey. GraphDB & metaphactory Working Hand in Hand. At the heart of our solution are Ontotext’s GraphDB and metaphacts’ metaphactory. Common Challenges in Knowledge Graph Projects.

Interactive 52

Interactive Data-driven Visualization Modeling 52

Ontotext

MAY 2, 2024

Every new dataset and new user adds a little more friction that hits the core metric of the velocity of data and brings it down to zero. Particularly those on the “the create side of the house” who are tasked to deliver insights and analytics. The result is issues in discovery as well as consistency across applications.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Ontotext

JANUARY 6, 2021

Humans are stuck on this planet until they devised a way to travel, 11kms per second, the escape velocity from Earth. It’s only been very recently that humans figured out how to go that fast. It’s hard and it’s expensive. According to this article , it costs $54,500 for every kilogram you want into space. How did they do it?

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

Ontotext

DECEMBER 1, 2023

Bikes to the moon The event opened with Atanas Kiryakov who invited us to consider that getting to the moon on a bike is impossible unless you have a really well-tuned bike. ” With new business lines, leading to new tools, a lot of diverse and siloed data inevitably enters enterprise systems.

Metadata 78

Metadata Sales Machine Learning Consulting 78

Ontotext

JULY 26, 2019

Such an approach, no matter what name we use for it, is all about improving the way enterprises operate in an interconnected world. Examples of such continuous improvement are technological giants like Google and Amazon who use semantic technology principles to build better data architectures for better user experiences.

Technology 40

Technology Data Integration Enterprise Structured Data 40

Ontotext

MAY 19, 2021

The Open Science (or Open Scholarship) movement has been gaining momentum, especially since the European Commission has committed itself to ensuring open access to all funded research in April 2016. Ontotext’s knowledge graph-based technologies are seen as a key to realizing the benefits of Open Science.

Publishing 72

Publishing Measurement Data-driven Metrics 72

Ontotext

FEBRUARY 21, 2024

In this blog post, we dive into the capabilities of Ontotext’s semantic technology products and solutions that facilitate NLQ. Let’s see how we can achieve our own RAG using Ontotext’s RDF database GraphDB. This dramatically simplifies the interaction with complex databases and analytics systems.

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64