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.
CIKM is the premier international conference on topics at the confluence of the information retrieval, databases, and knowledge management. This event moved online.
Phill Jones will discuss the development and application of knowledge graphs and how they are helping knowledge and information professionals to solve real business problems.
ISWC2020 is the premier international forum for the Semantic Web/Linked Data Community. This event moved online.
IC3K brings together researchers, engineers and practitioners on the areas of Knowledge Discovery, Knowledge Engineering and Knowledge Management.
The primary focus of KDIR is to provide a major forum for the scientific and technical advancement of knowledge discovery and information retrieval.
KEOD aims at becoming a major meeting point for researchers and practitioners interested in the study and development of methodologies and technologies for Knowledge Engineering and Ontology Development.
KMIS aims at becoming a major meeting point for researchers and practitioners interested in the study and application of all perspectives of Knowledge Management and Information Systems.
Kristen Monahan of the Public Library of Science (PLOS) will talk about how she uses the PLOS taxonomy to drill down into the massive amount of content, metadata, and usage and process data that is PLOS for deep, detailed analysis and to drive business decisions.
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.