Semantic Tagging
Enrich your content with Ontotext’s Semantic Tagging. It is powered by a knowledge graph that combines public and private data and enables you to discover mentions of both known and novel concepts and link them to the text in your content.
How You’ll Benefit
Discover concepts of interest in your content automatically
Use as a foundation for smarter search capabilities
Customize your content streams
Scale better than your human teams
How it Works
Semantic fingerprint
Our tagging services analyze the text, extract concepts, identify topics, keywords and important relationships, while taking care of properly disambiguating similarly sounding entities. The resulting semantic fingerprint of the document comprises metadata, linked to a knowledge graph that serves as the foundation of all content management solutions.
The Concept Extraction Service
The key ingredient of our Semantic Tagging solution is the Concept Extraction Service (CES), which extracts the essence from your content. CES enriches the processed documents with semantic tags, containing references to a knowledge graph, thus creating meaningful connections between the unstructured text and the structured data.
Standard Solution vs Custom Solution
Solutions Comparison | Standard Solution |
Custom Solution |
---|---|---|
Extraction of People, Organizations and Location | ||
Relations between People, Organizations and Location | ||
Dataset based on Wikipedia and DBPedia | ||
Dataset Update 2 times/ year | ||
Optional Support Package | ||
Custom Tailored Extraction for your Domain | ||
Build your proprietary Knowledge Graph | ||
Curation tool | ||
Built-in learning of the system |
Case Studies
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Increasing User Engagement in Publishing Platforms by Interlinking Ad Serving with Semantic Technology
Ontotext’s solution for smarter recommendations and ad serving enables a leading media publisher to know more about their content as well as their readers, improve its recommendation system, boost user engagement and adopt a sophisticated ad serving system that targets a more segmented audience.
More Resources
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Tag by Ontotext
Demo Services
Get a live experience how to add value to any content you like with Tag by Ontotext - a free public service designed to show you the text analytics that takes place behind the scene of the Dynamic Semantic Publishing platform.
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Text Analysis for Content Management
White Papers
In this white paper, we’ve provided an overview of how we at Ontotext develop and implement Knowledge Graph-based Content Management solutions.
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Text Analytics for Enterprise Use
White Papers
This exclusive Ontotext white paper describes how semantic technologies make any content intelligent and turn it into revenue for your publishing business.
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What is Text Analysis?
Fundamentals
Text Analysis is about parsing texts in order to extract machine-readable facts from them. The purpose of Text Analysis is to create sets of structured data out of heaps of unstructured, heterogeneous documents.
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Increasing User Engagement in Publishing Platforms by Interlinking Ad Serving with Semantic Technology
Case Studies
Ontotext’s solution for smarter recommendations and ad serving enables a leading media publisher to know more about their content as well as their readers, improve its recommendation system, boost user engagement and adopt a sophisticated ad serving system that targets a more segmented audience.