Ontotext

DECEMBER 1, 2023

Atanas Kiryakov presenting at KGF 2023 about Where Shall and Enterprise Start their Knowledge Graph Journey Only data integration through semantic metadata can drive business efficiency as “it’s the glue that turns knowledge graphs into hubs of metadata and content”.

Metadata 78

Metadata Sales Machine Learning Consulting 78

Ontotext

MARCH 13, 2024

Motivated by our marketing team’s aim to simplify content discovery on our website, we initiated the Ontotext Knowledge Graph (OTKG) project. We envisioned harnessing the power of our products to elevate our entire content publishing process, thereby facilitating in-depth knowledge exploration. What is OTKG?

Marketing 72

Marketing Knowledge Discovery Metadata Data-driven 72

Ontotext

JANUARY 10, 2024

Often, it’s a by-product of business growth. Any type of metadata or universal data model is likely to slow down development and increase costs, which will affect the time to market and profit. A slightly different angle to the same problem is discussed in a recent Ontotext blog post. So, they become very data-driven.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Ontotext

DECEMBER 30, 2022

The first 18 years: Develop vision and products and deliver to innovation leaders. Ontotext started in 2000 as an R&D lab, led by now CEO Atanas Kiryakov, becoming one of the pioneers of the Semantic Web. 9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

FEBRUARY 14, 2024

It has been an important capability for Ontotext ever since we dove into Natural Language Processing (NLP), as it is a crucial aspect of the interplay between text analysis and knowledge graphs. Introducing Ontotext Common English Entity Linking Now comes our next-generation offering – Common English Entity Linking (CEEL).

Cost-Benefit 52

Cost-Benefit Modeling Metadata Publishing 52

Ontotext

FEBRUARY 1, 2024

When our auto-categorization engine, Graphite Knowledge Studio, tags content with metadata derived from taxonomies, we also capture and store this content metadata inside the knowledge graph, thereby linking concepts to the content they describe. What do we mean by content aware knowledge graphs?

Enterprise 59

Enterprise Management Metadata Modeling 59

Ontotext

MARCH 15, 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. Another possible utilization of the Extractive Question Answering model is in an NLP pipeline integrated in Ontotext Metadata Studio (OMDS) for automatic annotation of clinical texts.

Modeling 59

Modeling Metadata Testing Optimization 59