In this webinar we address various scenarios of Autoclassification that depend on your goals as illustrated by the following questions: Do you already have a search engine and want to make it more intelligent? Do you need an intelligent search engine based on managed vocabularies? Do you need a real-time autoclassification service? TopBraid Tagger and AutoClassifier uses state-of-the-art Machine Learning (ML) to automatically assign most relevant tags and to further enrich the content. It takes advantage of ML being controlled by vocabularies and humans in the loop to rapidly refine training sets and initial tag suggestions.

This webinar explores new enhancements and capabilities to TopBraid EDG in releases 6.1 and 6.2. Highlights from Release 6.1 include: Dynamic inferencing, and Role-based personalization, and from Release 6.2: Users can enrich their data using Wikidata, and The much-extended scope of data lineage. These and many more new capabilities are demonstrated. Each of these releases also brings significant improvements in EDG’s UI, configurability, performance, and scalability

This webinar explores the capabilities of knowledge graphs and why they are essential to data governance. The answer lies in key characteristics. Knowledge graphs are Flexible, Evolvable, Semantic, and Intelligence-enabling.

Achieving key business goals such operational efficiency, regulatory compliance and analytical insights requires organizations to know the lineage of its data. This webinar explores the complexity of data lineage and the power of interactive visualization to simplify and understand it.

This webinar highlights TopBraid EDG’s support for the GraphQL standard. GraphQL for RDF/SHACL provides powerful access to RDF data​, combining W3C semantic standards with a ​popular ​JSON-centric ​query language for APIs​.​ All TopQuadrant’s products provide out-of-the-box support for GraphQL.