These are my notes for the fifth session of talks at the UK Ontology Network Meeting on 14 April, 2016.
The OntoEnrich Platform: using workflows for quality assurance and axiomatic enrichment of ontologies
Manuel Quesada-Martinez, Jesualdo Tomas Fernandez-Breis, Robert Stevens, Mathalie Aussenac-Gilles, Daniel Karlsson
A lexical regularity (LR) is a group of consecutive ordered words that appear in more than one class of an ontology. An OntoEnrich workflow combines different types of filters, metrics and steps to support the user in the inspection of LRs, and in deciding how interesting they are.
A workflow might start with the calculation of the lexical analysis. Then you filter on select LRs that contain adjectives. Then you manually inspect the LRs and calculate two metrics and sort the set of LRs by that. Then you explore the LRs guided by the metrics. Try it at http://sele.inf.um.es/ontoenrich .
Probabilistic Annotation Framework: Knowledge Assembly at Scale with Semantic and Probabilistic Techniques
Szymon Kiarman, Laris Soldatova, Robert Stevens, Ross King
The methodology for knowledge assembly in this research is Reading-Assembly-Explanation. When inferences are extracted from papers, it’s not clear if it has been extracted correctly. They applied probabilistic reasoning over this and recorded evidence to improve the inferences. The PAF (Probabilistic Annotation Framework) has an ontology covering event-related concepts, metadata concepts and probability types.
The growing scope of the environmental ontology
Pier Luigi Buttigieg
EnvO is a community ontology for the environment and works with OBO and some classes mined from EOL. Environmental systems (biomes, ecoregions, ecozones, habitates), features (coral reefs, hospitals, guts, kimchi), materials and processes (carbon fixation, volcanic eruptions) are all modelled in EnvO. They remain orthologous by sharing with PCO, and using BFO, ChEBI, etc.
Because humans think they’re different from everything else, they are building an human ecosystem section and are working with SDGI in association with UNEP. SDGI is a semantic interface for the sustainable development goals.
Please note that this post is merely my notes on the presentation. I may have made mistakes: these notes are not guaranteed to be correct. Unless explicitly stated, they represent neither my opinions nor the opinions of my employers. Any errors you can assume to be mine and not the speaker’s. I’m happy to correct any errors you may spot – just let me know!