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Taxonomies, Knowledge Graphs, and AI


Heather Hedden
Semantic Web Company


until June 30, 2021

Relevant content can be searched for or browsed by users, but it can also be delivered in the form of a personalized recommendation. A vast amount of the information businesses generate is unstructured, usually in the form of free-text documents, images, videos, or other human-understandable formats that are not simple for machines to process. Taxonomies, ontologies, and knowledge graphs allow for capturing the context, meaning, and business value to help organize both unstructured information and structured data and provide more accurate and richer results in all cases of search, browse, and recommendations.

Taxonomies present serve as a foundation as they are an ideal starting point for building knowledge graphs to organize unstructured content and support personalization services that improve the user experience by delivering relevant content to users.


Heather Hedden

Heather Hedden

Semantic Web Company

Heather Hedden is a Data and Knowledge Engineer with Semantic Web Company Inc., vendor of PoolParty Semantic Suite software for developing taxonomies, ontologies, knowledge graphs, and semantic search applications. Heather has 25 years of experience in developing and managing taxonomies and other knowledge organization systems for various organizations and applications, both as an employee and as a consultant. She provides training in taxonomy creation and is author of the book The Accidental Taxonomist.

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