Welcome to my personal page! My name is Frederik Hogenboom, and I hold a BSc., a cum laude MSc., and a Ph.D. degree in Economics and Informatics. My degrees are obtained at the Erasmus University Rotterdam, the Netherlands, to which I am still affiliated for further spin-off research and new projects that I conduct next to my day job as a data scientist and language technologies expert at the Dutch government.

In my spare time, I still conduct research within the multidisciplinary field of business intelligence. Over the years, I have published many articles on various topics, ranging from general information extraction and news processing approaches to novel Semantic Web techniques and applications, and from applications of news and events in automated trading methods to intelligent learning agents. In my research and my regular job, I am used to working with excessive amounts of data. Therefore, as these things go in academia, my general expertise is spread across multiple disciplines, and I consider myself to be both a data scientist and a computational linguist, with a strong affection towards knowledge-driven event extraction from unstructured data.

Data Science

Data Science


Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining. Data science is a concept to unify statistics, data analysis, machine learning, and their related methods in order to understand and analyze actual phenomena with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, information science, and computer science.

Computational Linguistics

Computational Linguistics


Computational Linguistics is an interdisciplinary field concerned with the statistical or rule-based modeling of natural language from a computational perspective, as well as the study of appropriate computational approaches to linguistic questions. Computational linguistics can be divided into major areas depending upon the medium of the language being processed, whether spoken or textual; and upon the task being performed, whether analyzing language (recognition) or synthesizing language (generation).


Frederik Hogenboom, Ph.D.

Econometric Institute
Erasmus School of Economics
Erasmus University Rotterdam

P.O. Box 1738
NL-3000 DR Rotterdam
The Netherlands

Burgemeester Oudlaan 50
NL-3062 PA Rotterdam
The Netherlands

Room: H11-02 (map)
Phone: +31 (0)10 408 1264
Fax: +31 (0)10 408 9162