Ademar Crotti

Biography

I am currently a Senior Technical Consultant working on Semantic Web, Linked Data and Ontologies, Machine Learning and Knowledge Graphs at Metaphacts.

I have demonstrable expertise in Knowledge Management, Ontology Engineering, Ontology Languages, Semantic Web and Linked Data, and data integration. I’m furthermore proficient with knowledge graph generation and knowledge graph processing using the Semantic Web technology stack: RDF, RDF(S), OWL, SPARQL, SHACL and R2RML.

I hold a PhD in Computer Science from Trinity College Dublin. My research is focused on mapping resources to the standard graph data model used to represent information on the Web (i.e. knowledge graphs), for which I have authored and co-authored a number of conference and workshop publications. I have also participated in industry funded projects, where I took part in the development of a data and query processing pipeline focused on building and querying knowledge graphs for the legal domain.

I also have over 5 years of experience in software development, mainly focused on Web applications using Java and JavaScript (including related frameworks and technologies such as EJB, JPA, Hibernate, amongst others).

Talks and Events

2022 Tutorial: Knowledge Democratization – A business user tutorial to Knowledge Graph modeling

Knowledge Democratization – A business user tutorial to Knowledge Graph modeling

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 benefits of knowledge graphs have become clear, the road to their implementation has often been long and complex and success has relied on the involvement of seasoned knowledge graph experts. For example, most ontology modeling tools available today target the ontology engineer, thus excluding domain experts and common business users from this process.

In this tutorial, we will present a new approach to knowledge graph modeling based on metaphactory’s visual and user-friendly interface for creating, exploring, visualizing, editing and documenting knowledge graph assets such as ontologies, taxonomies or data catalogs. The visual language translates to core elements of OWL, SHACL and SKOS and results in knowledge graph assets based on open and flexible W3C standards.

With this approach, creating a knowledge graph becomes a streamlined, end-to-end process where all relevant stakeholders are equally involved. This enables true knowledge democratization by connecting knowledge modeling, knowledge description, knowledge generation, and knowledge consumption under one umbrella.