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Preview: Frederick Giasson's Weblog

Frederick Giasson



Data Scientist & Software Developer



Published: 2017-02-27T20:17:14Z

 



KBpedia Knowledge Graph 1.40: Extended Using Machine Learning

2017-02-27T20:15:38Z

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

2017-02-17T15:36:24Z

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

2017-02-15T13:40:34Z

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

2017-01-24T19:19:06Z

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

2017-01-10T20:10:36Z

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

2016-11-21T11:14:06Z

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

2016-11-17T11:05:32Z

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

2016-11-17T11:00:43Z

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 […]



Building and Maintaining the KBpedia Knowledge Graph

2016-11-07T19:57:15Z

The Cognonto demo is powered by an extensive knowledge graph called the KBpedia Knowledge Graph, as organized according to the KBpedia Knowledge Ontology (KKO). KBpedia is used for all kinds of tasks, some of which are demonstrated by the Cognonto use cases. KBpedia powers dataset linkage and mapping tools, machine learning training workflows, entity and […]



Literate [Clojure] Programming: Tangle All in Org-mode

2016-10-26T18:19:29Z

This blog post is the fifth of a series of blog posts about Literate [Clojure] Programming in Org-mode where I explain how I develop my [Clojure] applications using literate programming concepts and principles. This new blog post introduce a tool that is often necessary when developing literate applications using Org-mode: the tangle all script. As […]