Data Model for the Financial Industry
Virtual (online event)The session provides an overview and demo of the FIBO Data Model and the patent-pending transformation technology that derived it.
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 session provides an overview and demo of the FIBO Data Model and the patent-pending transformation technology that derived it.
The SEMANTiCS Video Forum 2020 will allow industry experts to learn about new technologies, innovations and enterprise implementations in the fields of linked data and semantic AI.
Yewno COO Ruth Pickering will explore how AI can help publishers use knowledge graphs to better curate their collections and maximize resources.
Dean Allemang and Jim Hendler, authors of Semantic Web for the Working Ontologist, discuss their book, key technology trends, their recommendations for more effective semantic modeling, and more.
This webinar will explore the role of knowledge graphs in modern analytics, and advanced analytics best practices.
EKAW 2020 is concerned with all aspects about eliciting, acquiring, modeling and managing knowledge, and the construction of knowledge-intensive systems.
This webinar will provide an introduction to taxonomy, including what it is and how it is used to support the creation and delivery of content.
ICCS focuses on the formal analysis and representation of conceptual knowledge, at the crossroads of artificial intelligence, human cognition, computational linguistics, and related areas of computer science and cognitive science.
CIDM DITA North America 2020 will address international standards, structured content, reuse capabilities, and multiple media delivery. This event rescheduled.
The BIBFRAME Workshop in Europe 2020 (3rd Annual BIBFRAME Workshop in Europe) will bring together people working in the transition from MARC to Linked Data using the BIBFRAME model and related tools.