The value of taxonomies and ontologies is obvious to everyone working with semantic data and trying to utilize it for many different purposes. While terminologies are only the “leaves” attached to taxonomy trees, they are visible to anyone interacting with your company's content. And since content has a plethora of touchpoints in a company, it is almost by definition inconsistent.||||Therefore, terminology should be standardized in a collaborative effort within the company and then made easily available to both human users and consuming systems such as taxonomies.
You know where Knowledge Graphs are mostly affecting our everyday life? Digital assistants like Siri, Amazon Alexa and Google Assistant
are using Knowledge Graphs to answer many of the question we ask them every day. We present QAnswer, a platform that allows to query your own knowledge graph in a similar way!
The focus is on domain-specific use cases that demonstrate how this solution creates added value for an enterprise.
PhD
The QA Company
https://the-qa-company.com
Dennis Diefenbach is a PhD researcher and entrepreneur in the area of Question Answering over Knowledge Graphs.
He did his PhD under a Marie Skłodowska-Curie action, Europe's most competitive and prestigious research and innovation fellowship. He worked for IBM and SAP.
All too often we see novel enterprise ambitions end up in the Semantic Graveyard. Be it through lack of sponsorship, leadership, or technical skill, enterprise deployments of semantic technology struggle to "Go Live" and achieve its impact. For the past 20 years, TopQuadrant has worked to build business applications that save time, cost, or risk through the collaborative use of Knowledge Graphs. More recently, we have seen entire enterprises leverage centralized semantics to power multiple applications and transform to fuel a data fabric.
CEO
TopQuadrant
http://www.topquadrant.com/
Nimit Mehta is the CEO of TopQuadrant, the applied knowledge graph collaboration platform. Its flagship product, EDG, brings life to metadata to solve the most important safety, security, and discovery problems for the world's largest organizations.
