Ontotext

FEBRUARY 16, 2023

We can evaluate their performance through comparisons to human benchmarks, to other AI systems or a combination of both. An area of AI that Ontotext has been working on for over 20 years is text analytics. What Is A Human Benchmark? At Ontotext, we generally use the classic term of “gold standard corpus”.

Metadata 59

Metadata Measurement Metrics Modeling 59

Ontotext

JANUARY 10, 2025

Therefore we explored how GenAI could automate several stages of the graph-building pipeline. Beyond knowledge graph building, NER supports use cases such as natural language querying (NLQ) , where accurate entity recognition improves search accuracy and user experience. You are the named entity recognition system.

Informatics 59

Informatics Modeling Metadata Experimentation 59

Ontotext

FEBRUARY 1, 2024

Not only are these ontologies capable of representing any domain of knowledge, but the structure of the data model is also transparent and intelligible to both humans and machines. It’s always a pleasure to attend KMWorld because of the opportunity to connect in person, and this year was no exception.

Enterprise 59

Enterprise Management Metadata Modeling 59

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