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concepts  corpuses  graph  kbpedia knowledge  kbpedia  knowledge graph  knowledge  learning  machine learning  machine  new  version 
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Preview: Frederick Giasson's Weblog

Frederick Giasson

Data Scientist & Software Developer

Published: 2018-03-18T18:45:06Z


After More Than 10 years In Business


I delayed this blog post for far too long. Almost exactly one year ago I had to take a heartbreaking decision for myself and for my long term business partner and friend Mike Bergman. I had to stop working on our business projects, Structured Dynamics and Cognonto such that can restart bringing incoming for my […]

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, […]

Extended KBpedia With Wikipedia Categories


A knowledge graph is an ever evolving structure. It needs to be extended to be able to cope with new kinds of knowledge; it needs to be fixed and improved in all kinds of different ways. It also needs to be linked to other sources of data and to other knowledge representations such as schemas, […]

Leveraging KBpedia Aspects To Generate Training Sets Automatically


In previous articles I have covered multiple ways to create training corpuses for unsupervised learning and positive and negative training sets for supervised learning 1 , 2 , 3 using Cognonto and KBpedia. Different structures inherent to a knowledge graph like KBpedia can lead to quite different corpuses and sets. Each of these corpuses or […]

Dynamic Machine Learning Using the KBpedia Knowledge Graph – Part 2


In the first part of this series we found the good hyperparameters for a single linear SVM classifier. In part 2, we will try another technique to improve the performance of the system: ensemble learning. So far, we already reached 95% of accuracy with some tweaking the hyperparameters and the training corpuses but the F1 […]

Dynamic Machine Learning Using the KBpedia Knowledge Graph – Part 1


In my previous blog post, Create a Domain Text Classifier Using Cognonto, I explained how one can use the KBpedia Knowledge Graph to automatically create positive and negative training corpuses for different machine learning tasks. I explained how SVM classifiers could be trained and used to check if an input text belongs to the defined […]