This week I finished the coverage analyzer tool and have run tests on over 200 popular ontologies (i.e., the SWEET ontologies)! As this is the main part of the project (the coverage tool) and getting this data is over a week ahead of time, I’m quite pleased. The coverage tool Continue reading SWEET Ontologies and Coverage
This week my main goal was to get a Part of Speech (PoS) tagger up and running. After some searching and testing I decided to use the Natural Language Toolkit (NLTK.org). While it has to be installed (as opposed to running in a jar or python egg) it runs quickly Continue reading Part of Speech Tagger, ontology generation
This week had me spending most of my time normalizing my two data sets (my corpus and ontology). This normalizing process (for the corpus) was fairly straight forward and involved a few steps, 1) remove punctuation 2) force lower case 3) remove stop words 4) stem each word 5) remove Continue reading Normalizing data
Our goal is to create a crowd-sourced, open platform ontology for metadata which could be applicable to just about any field or subject matter (intellectual property in general). The key innovation is that the set of terms and their relationships will evolve to peoples’ needs in a social ecosystem. We Continue reading Week 1 – Precise metadata ontology
This week my focus was on meeting with my mentors, understanding my specific project requirements and gathering my datasets.ย My initial work was about creating a week-by-week plan to create a meaningful, generalizable ontology coverage tool for OWL ontologies. I spent some time looking over existing scripts and testing them Continue reading Gathering dataset