Unsung Heroes of KM: Context, Linkage and Knowledge Graphs
Virtual (online event)Paul Nelson of Accenture discusses the role of knowledge graphs, knowledge sharing and linkages in improving knowledge management for the enterprise.
Conferences and other events about knowledge graphs, linked data and related topics
While every effort has been made to keep these listings current, in light of the COVID-19 pandemic always check the linked event site for the most up-to-date information concerning that event.
Paul Nelson of Accenture discusses the role of knowledge graphs, knowledge sharing and linkages in improving knowledge management for the enterprise.
In this webinar, Jarred McGinnis and Atanas Kiryakov present Ontotext’s upcoming white paper: Knowledge Graphs for Enterprise Data Management. They will cover the principles and implementation of knowledge graphs and will provide examples from different industries of how knowledge graphs bring value through cost savings, new revenue opportunities and a sustainable AI strategy.
In this webinar the Semantic Interoperability Community (SEMIC) will present the new specifications of GeoDCAT-AP 2.0 to the GeoDCAT-AP Working Group.
Looking at a partnership between Access Innovations and Data Conversion Laboratory, this webinar will explore how semantics and structure are more powerful together than on their own.
This webinar, hosted by Francois Scharffe of The Knowledge Graph Conference, will look into providing a leaner approach to knowledge engineering.
This webinar will address the role of taxonomies in recommender systems, including how taxonomies may be enriched to convert them into basic knowledge graphs.
This webinar will describe the difference between data models, metamodels, and ontologies, and explore the fundamental information model that underpins systems engineering.
This tutorial for DBpedia developers includes information on replicating local infrastructure and the new DBpedia Stack.
This webinar will present a case study of a targeted content recommendation engine, along with information on the fundamental principles of taxonomy and ontology design as the backbone to the AI solution.
This Data Science Central webinar will address design considerations and deployment best practices for three case studies that combine knowledge graphs with machine learning.