Geomatics Atlantic 2018 Confirmed Presenters

Renata Dividino

Senior Data Manager Global Spatial Technology Solutions
Photo of Renata Dividino

Biographical Info

Dr. Renata Dividino has extensive expertise in knowledge management and artificial intelligence. She received her Ph.D. degree of Compute Sciences in Germany and has worked in diverse international research institutes (e.g. the German Research Center for Artificial Intelligence & the Institute for Web Science and Technologies).

She also spent several years in research for knowledge modelling and semantic integration of disparate information sources which has been successfully applied in many domains – from drug discovery in pharmaceutical companies to identifying suspicious activities at sea.

Dr. Dividino recently left the Institute for Big Data Analytics at Dalhousie University where she researched how to better support the current and future information needs of naval decision makers aboard Royal Canadian Navy vessels to join a Halifax-based start-up – Global Spatial Technology Solutions. Dr. Renata Dividino leads the semantic Big Data integration to boost the machine learning model accuracy.

[source: Dalhousie University]

The Interplay between Knowledge Graphs and Machine Learning

Machine learning algorithms aim to make sense out of noisy data to generate data-driven insights. These algorithms, often called smart algorithms, are first given access to real-world examples of a huge data set, and then are set to detect patterns (or ‘similar data’) in other datasets in order to predict different events. As expected, the algorithms are only as good as the data behind them.

High-quality data can be extracted from knowledge graphs such as from google’s knowledge graph and Wikidata. Knowledge graphs form crucial components of modern web search engines and state-of-the art question answering systems as they provide a semantic structure to the underlying  data, i.e., data becomes a source of information that machines can easily interpret, combine and reuse. In this talk, we will discuss how companies running machine learning applications can use knowledge graphs to fine tune results and increase processing capabilities.

Categories: Research
Updated 2 months ago.

Conference Program Schedule

The Geomatics Atlantic Conference Committee is using the Conferize application to maintain the event Agenda.