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Preview: Frederick Giasson's Weblog

Frederick Giasson

Data Scientist & Software Developer

Published: 2017-03-10T19:25:55Z


A Machine Learning Workflow


I am giving a talk (in French) at the 85th edition of the ACFAS congress, May 9. I will discuss the engineering aspects of doing machine learning. But more importantly, I will discuss how Semantic Web techniques, technologies and specifications can help solving the engineering problems and how they can be leveraged and integrated in […]

KBpedia Knowledge Graph 1.40: Extended Using Machine Learning


I am proud to announce the immediate release of the KBpedia Knowledge Graph version 1.40. This new version of the knowledge graph includes 53,739 concepts which is 14,687 more than with the previous version. It also includes 251,848 new alternative labels for 20,538 previously existing concepts in the version 1.20, and 542 new definitions. This […]

Literate [Clojure] Programming: Publishing Documentation In Multiple Formats


Last post of a series of posts about literate programming that introduce a tool that leverage the side effect of having all the codes neatly discussed: it gives the possibility to automatically generate all different kinds of project documentation with a single key-binding.

Measuring the Influence of Expanded Knowledge Graphs on Machine Learning


Mike Bergman and I will release a new version 1.40 of the KBpedia Knowledge Graph in the coming month. This new version of the knowledge graph will include roughly 15,000 new concepts and 150,000 new alternative labels and 5,000 new definitions for existing KBpedia reference concepts. This new release will substantially increase the size of […]

Disambiguating KBpedia Knowledge Graph Concepts


One of the most important natural language processing tasks is to “tag” concepts in text. Tagging a concept means determining whether words or phrases in a text document matches any of the concepts that exist in some kind of a knowledge structure (such as a knowledge graph, an ontology, a taxonomy, a vocabulary, etc.). (BTW, […]