Over 10,000 physical typewritten documents from 1932 to 1941 had to be digitised, structured, and connected in order to create a single, centralised source of knowledge, for enabling the analysis of historical processes.
Dr. Alessandro Negro, Chief Scientist at GraphAware, presents on knowledge graphs at GraphTour DC.
Discover how to turn your unstructured data silos into valuable knowledge graphs with the help of expert insights from Dr. Alessandro Negro. During his presentation at GraphTour DC, Dr. Negro shares valuable tips and strategies for converting unstructured data into useful knowledge that can inform decision-making and drive better outcomes. Whether you’re looking to extract new insights from large volumes of data or need to quickly analyze data in real-time, the strategies and techniques shared in this presentation can help you unlock the full potential of your data and transform it into a valuable asset. Don’t miss out on this opportunity to learn from an expert and take your data analysis to the next level.
In this talk, Christophe will describe a graph-centric cognitive computing pipeline and detail the process from the ingestion of unstructured text up to the generation of a knowledge graph, queryable using natural language through chatbots built with IBM Watson Conversation.
A great part of the world’s knowledge is stored using text in natural language, but using it in an effective way is still a major challenge. Natural Language Processing (NLP) techniques provide the basis for harnessing this huge amount of data and converting it into a useful source of knowledge for further processing. By Alessandro Negro, Chief Scientist, GraphAware.