Conferences and other events about knowledge graphs, linked data and related topics
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Taxonomies, Knowledge Graphs, and AI
December 15, 2020 @ 11:00 am - 12:00 pm EST
“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.”
“This webinar will present a case study of a targeted content recommendation engine, which suggests relevant course content based on users’ performance on online training material and test completion. In addition to showing how the system was designed and created, this webinar presents the more fundamental principles of taxonomy and ontology design as the backbone to the AI solution.”
“Speakers
Lulit Tesfaye
Enterprise Knowledge, LLC.
Lulit Tesfaye is the Practice Lead for Data and Information Management at Enterprise Knowledge, LLC, a global consultancy that integrates Knowledge, Data, and Information Management with Information Technology and Agile Approaches to deliver comprehensive solutions. Lulit brings over a decade of experience leading diverse organizations with initiatives in Knowledge, Information, and Data Management and is most recently focused on building advanced capabilities for optimizing data initiatives through knowledge graphs and Artificial Intelligence (AI).”
“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.”
Read more on the event website
Aaron Bradley is Senior Structured Content Architect at Telus Digital, and chief cook and bottle washer at The Graph Lounge.