NLP for Mining Knowledge Graphs: Tasks, Challenges and Pitfalls
Virtual (online event)In this talk Panos Alexopoulos will describe NLP tasks that knowledge graph mining involves and some common pitfalls to avoid.
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.
In this talk Panos Alexopoulos will describe NLP tasks that knowledge graph mining involves and some common pitfalls to avoid.
This meetup is the public forum where these reports from the Metaspace practitioners workshop will be presented, along with live Q&A from the audience, for metadata questions answered by a collection of industry expert practitioners.
Pavel Klinov will describe SPARQL evaluation semantics and some of the main algorithms used for processing SPARQL queries.
Dr. Janna Lipenkova will explain taxonomies, review existing methods of automatic taxonomy construction, and present a hybrid approach.
Organizers of Taxonomy Boot Camp London will discuss how they adapted to create a virtual event, and will probe the wider landscape of virtual events.
This presentation will introduce RDF* (RDF Star) and the features that it adds to RDF and SPARQL.
This workshop will explore VocBench, an open-source web application to build ontologies, knowledge organisation systems and lexicons
This two-day event will feature presentations, masterclasses and community interaction on graph-based data science and machine learning.
Emeka Okoye will explain how graph analytics can be used to model, store, retrieve and analyze graph-structured data.
Ruben Verborg will discuss the paradigm shifts a decentralized Web brings, demonstrating that decentralization is about much more than just controlling our own data.