It’s a wrap!
This category can soon be archived ;)! Earlier this week I handed in my final paper, and yesterday was the day of my final presentation. It was a great…
Thesis (MSc)
Measure and Visualize Semantic Similarity Between Subgraphs
As I blogged previously, I am working on measuring the performance of my keyword extraction algorithms. The confusion matrix approach I have implemented is quite ‘harsh’. It ignores…
Abstract
Below the first draft of the abstract of my paper. It doesn’t yet include the results/conclusion. Word count: 127 Semantic annotation uses human knowledge formalized in ontologies to enrich…
Algorithm performance measurement: Confusion Matrix
As I am starting to gather testing data, I figured it’d be a good time to determine how to measure the performance of the different results of my…
Force-Directed Graphs: Playing around with D3.js
Update: Newer example of Force-Directed d3.js Graph here: Measure and Visualize Semantic Similarity Between Subgraphs I recently replaced python-graph in my code with NetworkX, a slightly more sophisticated graph…
Not dead (yet)
While I haven’t been as active and hard working on my graduation project as I would have liked to be, I am not dead (nor the project). Earlier…
Pathfinder finds paths!
First results are in! My computer spent about 20 hours to retrieve and store neighboring concepts of over 10.000 concepts which my Breadth-First-Search algorithm passed through to find the shortest…
Ontology-based Text Visualization: Towards a Visual Language
The first steps towards creating graph-based text visualizations is thinking about how I would like to visually represent the structure of the information I extract from texts. I…
Add some #dataviz in the mix
All this time I have been working on my ontology-powered topic identification system: combining semantic web technologies with natural language processing and text-mining techniques to extract (a) topic(s)…
Computing string similarity with TF-IDF and Python
“The tf–idf weight (term frequency–inverse document frequency) is a weight often used in information retrieval and text mining. This weight is a statistical measure used to evaluate how…
My thesis in pictures
Because sometimes six pictures are worth a trillion triples.
Python graphs and visualizations
To my right is a visualization of the output of my SPARQL-powered shortest path algorithm, finding a link between ‘intracellular and extracellular accumulation’ & ‘developmental and adult structural…
Simple keyword extraction in Python: choices, choices.
As explained in an earlier post, I am working on a simple method of extracting ‘important words’ from a text-entry. The methods I am using at the moment…