Expert Group Meeting - Software & Tools
Date: 07.12.2018, 14:00 to 17:00
Location: PwC at Birchstrasse 160, 8050 Zürich
Big Data Integration
Philippe Curde-Mauroux, University of Fribourg
Until recently, structured (e.g., relational) and unstructured (e.g., textual) data were managed very differently: Structured data was queried declaratively using languages such as SQL, while unstructured data was searched using boolean queries over inverted indices. Today, we witness the rapid emergence of Big Data Integration techniques leveraging knowledge graphs to bridge the gap between different types of contents and integrate both unstructured and structured information more effectively. I will start this talk by giving a few examples of Big Data Integration. I will then describe two recent systems built in my lab and leveraging such techniques: ZenCrowd, a socio-technical platform that automatically connects Web documents to semi-structured entities in a knowledge graph, and Guider, a log analytics platform that has been integrated into Microsoft Azure.
Expert System's knowledge graph and how we use it at PwC
Jakob Olbrich, PwC
Expert System develops software and tools for the processing of natural language. Next to the software a core of their product is a knowledge graph that they enhance and maintain continuously. In this discussion I will give an introduction to Expert System's knowledge graph as well as the tools they have created to utilise it. Afterwards I will give examples how we use it at PwC to categorise documents and extract information from natural language.
Please fill out the doodle by Dec 1 if you can come or not so that we can size the apero accordingly.