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Workshop: The Praxis of Teaching Knowledge Graphs: A Panel
Over the last I have been serving as Portfolio Lead for Knowledge Graphs within Capgemini Germany, which is basically the task of helping our Sales Department sell a technology and make sure that the company is internally able to deliver the projects. Currently we face a lot of requests like "Isn...
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Workshop: Democratize the Knowledge Graph and Concrete Tooling Requirements
In KGC 2022 Katariina Kari was talking about the ways in which IKEA experts were upskilled to contribute to the IKEA knowledge graph (IKG). With one year experience, the IKG business owner, Adam Keresztes, who has a background in UX design, takes the topic further to discuss and show what kind of...
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Masterclass: Taxonomy-Driven Ontology Design
Taxonomies should not be looked at merely as the extension of ontologies downward into subclasses and individuals; taxonomies can also serve as a source of creating ontologies upward. Ontologies are best designed with a combination of top-down and bottom-up approaches. Top-down involves designati...
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Masterclass: Semantic Knowledge Modeling for Domain Experts and Business Users
Knowledge Graphs drive modern data fabrics, enabling frictionless access to and sharing of data. They have led to great advances in terms of data integration, interoperability and accessibility, and are a key instrument for transforming data into valuable and actionable knowledge. But while the b...
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Masterclass: Hands-on Automatic Quality Assessment of Knowledge Graphs
This masterclass will empower attendees to identify and detect quality issues in knowledge graphs, with methods inspired from linguistics, statistical modeling, and ontological analysis. By the end of it, they will be able to uncover key quality dimensions, typical causes of low scores in each of...
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Masterclass: Scalability design in a graph database without losing performance
Having a distributed and scalable graph database system is highly sought after in many enterprise scenarios. This, on the one hand, is heavily influenced by the sustained rising and popularity of big-data processing frameworks, including but not limited to, Hadoop, Spark and NoSQL databases; on t...
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Masterclass: Using Dgraph to Explore the Offshore Leaks Database
This masterclass will take participants through the analysis, loading, and querying of the Offshore Data Leaks dataset from the International Consortium of Investigative Journalists (ICIJ) into a single-node Dgraph cluster. The data set comprises over 2 million nodes and 3 million
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Masterclass: Predict Links in a Knowledge Graph
Attendees who take this Masterclass will come away with a completed semantically enriched Knowledge Graph.
Hands-on instruction will show how to build a Semantic Layer, including building a model, representing metadata with real business meaning, creating business rules, using inferencing to fi...
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Masterclass: Open Research Knowledge Graph Structured Scholarly Knowledge
The ever-increasing number of published scholarly articles imposes significant challenges in organizing scholarly knowledge. We present the Open Research Knowledge Graph (ORKG), a scholarly infrastructure that provides scholarly knowledge as structured data stored within a knowledge graph. With i...
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Masterclass: Graphs with Relational Tables: The Why and The How
The tussle between graph databases vs. relational databases is misplaced and hinders wider adoption of graph databases. Many graph databases bring tremendous value, but at the cost of the bread and butter data management issues that relational databases are extremely good at. If the two can co-ex...
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Masterclass: SPARQL, SHACL and XSLT3
XSLT3 is a powerful tool for transformations, one that's often underutilized in the RDF space. However, the combination of SPARQL, SHACL and XSLT3 together provides a comprehensive tool for transformation of semantic content that can complement existing capabilities such as SPARQL UPDATE, enablin...
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Masterclass: The Open KG Curriculum
This master class will contain international experts on knowledge engineering and will detail their experiences, lessons learned, and best practices in how they have and currently teach their students and educate their workforce on knowledge graph concepts. The masterclass will be implemented as ...
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Masterclass: Graph Embedding Techniques - Matrix Factorization to Deep Learning
Graph embeddings can be used for a variety of applications, including recommendation, fraud detection, and other machine learning tasks. In this work, we aim to walk through various different embedding techniques, starting with spectral approaches, moving towards graph neural networks, and finall...
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Masterclass: A Walk-through of the KnowWhereGraph
This masterclass introduces core features and functionality of the KnowWhereGraph project (https://knowwheregraph.org/), an open, cross-domain knowledge graph and associated tool-set that aims to provide area briefings within seconds. KnowWhereGraph links over 30 data layers on social and environ...
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Healthcare and Life Sciences Symposium Part 4
We seek original contributions describing theoretical and practical methods and techniques for building and maintaining health knowledge graphs for the healthcare and life sciences domain. The symposium will cover topics around data integration, data profiling, data curation, querying, knowledge ...
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Healthcare and Life Sciences Symposium Part 3
We seek original contributions describing theoretical and practical methods and techniques for building and maintaining health knowledge graphs for the healthcare and life sciences domain. The symposium will cover topics around data integration, data profiling, data curation, querying, knowledge ...
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Healthcare and Life Sciences Symposium Part 2
We seek original contributions describing theoretical and practical methods and techniques for building and maintaining health knowledge graphs for the healthcare and life sciences domain. The symposium will cover topics around data integration, data profiling, data curation, querying, knowledge ...
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Healthcare and Life Sciences Symposium Part 1
We seek original contributions describing theoretical and practical methods and techniques for building and maintaining health knowledge graphs for the healthcare and life sciences domain. The symposium will cover topics around data integration, data profiling, data curation, querying, knowledge ...