Text Analysis for Content Management
Text Analysis for Content Management
In this white paper, we’ve provided an overview of how we at Ontotext develop and implement Knowledge Graph-based Content Management solutions.
Turning a Taxonomy into a Recommendation Engine
Connor Vilenio from Enterprise Knowledge will share his experiences with a basic approach to enhancing a taxonomy’s underlying graph model to support a recommendation system that suggests relevant content from a semantic model of the organization’s understanding of semantic relevancy.
Text Analytics for Enterprise Use
This exclusive Ontotext white paper describes how semantic technologies make any content intelligent and turn it into revenue for your publishing business.
Smarter Content with a Dynamic Semantic Publishing Platform
This exclusive Ontotext white paper describes how semantic technologies make any content intelligent and turn it into revenue for your publishing business.
What is Text Analysis?
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.