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Blog

Common English Entity Linking: Linking Text to Knowledge Fast and Efficient

Ontotext

FEBRUARY 14, 2024

Entity linking is the process of automatically linking entity mentions from text to the corresponding entries in a knowledge base. Usually, entity linking consists of two main tasks – named entity recognition and entity disambiguation.

Cost-Benefit

Cost-Benefit Modeling Metadata Publishing

Gaining Global Insights with Multilingual Entity Linking

Ontotext

MARCH 7, 2024

Linking entities in text to knowledge bases A necessary step in analyzing multilingual content is linking mentions of entities in text (general concepts or named entities) in different languages to a common knowledge base. How does multilingual entity linking work?

Modeling

Modeling Metrics Business Intelligence Visualization

Using Entity Linking to Turn Your Graph into a Knowledge Graph

Ontotext

AUGUST 22, 2024

What’s the difference between a graph and a knowledge graph? Standards-based entity linking contributes to all three of these goals because it makes it easier to add new, related data that provides context to other entities stored in a GraphDB model. You can play with this service interactively at [link].

Contextual Data

Contextual Data Metadata Modeling Interactive

Webinars

Agent Tooling: Connecting AI to Your Tools, Systems & Data

Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Data Talks, CFOs Listen: Why Analytics Are Key To Better Spend Management

Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

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Common English Entity Linking: Linking Text to Knowledge Fast and Efficient

Gaining Global Insights with Multilingual Entity Linking

Using Entity Linking to Turn Your Graph into a Knowledge Graph

Webinars

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