Ontotext

FEBRUARY 21, 2024

Like many organizations, we want to get the most of the content we produce – technical documentation about our products, capabilities, past and current projects, research publications, marketing content, presentations, and webinars. So we have built a dataset using schema.org to model and structure this content into a knowledge graph.

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64

Ontotext

AUGUST 19, 2020

Metadata used to be a secret shared between system programmers and the data. Metadata described the data in terms of cardinality, data types such as strings vs integers, and primary or foreign key relationships. Inevitably, the information that could and needed to be expressed by metadata increased in complexity.

Metadata 59

Metadata Knowledge Discovery Cost-Benefit Data Governance 59

Rocket-Powered Data Science

JULY 6, 2021

Do you present your employees with a present for their innovative ideas? If you include the title of this blog, you were just presented with 13 examples of heteronyms in the preceding paragraphs. This is accomplished through tags, annotations, and metadata (TAM). What you have just experienced is a plethora of heteronyms.

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

Ontotext

DECEMBER 1, 2023

Seen through the three days of Ontotext’s Knowledge Graph Forum (KGF) this year, complexity was not only empowering but key to the growth of knowledge and innovation. This, of course, has its challenges and turning points, but Atanas provided solid advice for those wondering where to start at the end of his presentation.

Metadata 78

Metadata Sales Consulting Enterprise 78

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

SEPTEMBER 15, 2020

This means the creation of reusable data services, machine-readable semantic metadata and APIs that ensure the integration and orchestration of data across the organization and with third-party external data. Knowledge Graphs are the Warp and Weft of a Data Fabric. This provides a solid foundation for efficient data integration.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Ontotext

AUGUST 15, 2019

The answers to these questions are presented in the course of week-long, self-paced sessions and a 4.5-hour Another thing you should not expect from this training is presenting use cases from different domains. hour live online practice session. One of the best success stories as a result of our training is Culture Creates.

Knowledge Discovery 70

Knowledge Discovery Technology Metadata Interactive 70