The Knowledge Graph Conference 2023
Cornell Tech 2 W Loop Rd,, New York, NYThe Knowledge Graph Conference 2023 will feature two days of masterclasses and workshops, two days in-person, and a one-day demo track.
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.
The Knowledge Graph Conference 2023 will feature two days of masterclasses and workshops, two days in-person, and a one-day demo track.
The 20th European Semantic Web Conference (ESCW 2023) will address scientific results and technology innovations around semantic technologies.
This workshop will bring together researchers to collaborate on scalable data management techniques for large-scale knowledge graphs.
This workshop will bring together researchers working on the different aspects of embedding data semantics and standards-based solutions into edge and/or constrained Internet and Web of Things setups.
"The FOIS conference is a meeting point for all researchers with an interest in formal ontology. Formal ontology is the systematic study of the types of entities and relations making up the domains of interest represented in modern information systems. The conference encourages submission of high quality, not previously published results on both theoretical issues […]
The 28th International Conference on Conceptual Structures (ICCS 2023) will focus on the formal analysis and representation of conceptual knowledge.
SWIB 2023 (Semantic Web in Libraries) will focus on Linked Open Data (LOD) in libraries and related organizations.
The FOIS 2023 conference online is a meeting point for all researchers with an interest in formal ontology.
Language Intelligence 2023 will showcase the latest developments in multilingual artificial intelligence.
SEMANTiCS 2023 will bring together researchers, industry experts and business leaders to explore trends and applications in the fields of machine learning, data science, linked data and natural language processing.