Analyzing diverse data from multiple sources evokes intelligence - the ability to acquire and apply knowledge and skills - and reasoning is of the skills we need to make sense of the world around us.
In this session, we will briefly introduce state of the art in Business Intelligence and the usage of Knowledge Graphs and reasoning. We will discuss how to build semantic search and discovery capabilities in information heavy systems. We will make and overview of the different types of company databases available commercially or as open data. Next we will present Ontotext approach for interlinking these different data sources in a big Knowledge Graph and perform analytics on it to address several market intelligence and business intelligence use cases - from company profiling to investment flow analysis.
PhD.
Ontotext
https://ontotext.com/
Dr. Yankova-Doseva obtained a PhD in Computer Science from the University of Sheffield. Her thesis was on combining information and resolving identity issues coming from multiplicity and redundancy of information, a common problem that appears in the process of knowledge extraction from heterogeneous sources. Since joining Ontotext in 2004 (while it was still a lab within Sirma), Dr.
