Generating exploratory paths on Wikipedia graph with multi-objective optimization

Wikipedia is the most popular open source online encyclopedia, an enormous source of information available for free to the general public. Besides the wealth of open source information available on millions of topics, Wikipedia also releases quantitative information on the way in which users navigate and behave while using the site. This work will explore the potential of embedding knowledge offered on Wikipedia in the physical world though coherent content exploration that takes geospatial considerations into account. To do so, I will apply and compare different classes of algorithms to generate paths across Wikipedia pages, including graph embedding techniques and multi-objective optimization approaches.