Using taxonomies and ontologies to extract knowledge from text. Domain Taxonomies can play a crucial role in many automated Machine Learning tasks. However, in one Study research showed that over 34% of concepts in a taxonomy can remain undetected (false negatives) if a taxonomy is only created manually. Augmenting the taxonomy design process with inductive... Continue Reading →

Happy New Year! A nice start to 2019, academic paper published 2nd Jan 2019 in Vol 45(1) Journal of Information Science. "Enterprise search and discovery capability: The factors and generative mechanisms for user satisfaction". Available in RGU OpenAir here and SAGE Journals subscription here

I received a notification recently reminding me it was exactly 2 years since I created my first Wikipedia Page Organisational Metacognition . A process in itself that made the academic peer review process look tame in its sheer ferocity! One key element of 'learning how to learn' is awareness of ignorance. In experiments I undertook... Continue Reading →

Delighted to be invited to present at the 'Expert-centric oil and gas digital technology' event at the Geological Society of London on January 24th 2019. I will be sharing some research that was published in the Journal of Information Science. More here

In Natural Language Processing (NLP) the technique of Dependency Parsing has been used for many years. It is an area of ongoing research. Using Part of Speech (POS) tagging, it helps in part break up a sentence to determine 'what relates to what' to define syntactic root structures (heads and dependents). Along with other techniques... Continue Reading →

Subsurface Hackathon Nov 16-18th at Robert Gordon University Campus in Aberdeen. Unfortunately I am unable to attend but my colleague Dr Eyad Elyan Reader in Machine Learning & Machine Vision will be judging on the Sunday. More here: https://geocomputing.xyz/hackathons

I was delighted to be invited to the Esri Petroleum User Group (PUG) this week. Over 180 people gathered near St Paul’s in London for the latest on Geographical Information Systems (GIS) in the Petroleum Industry. I’ve always had a passion for this area since I wrote a GIS system in Turbo C as part... Continue Reading →

Search query term recommendations for Scholarly and Enterprise Search: Google Scholar recently introduced recommended search terms based on specificity of the query for scholars, a topic I published on in 2014. I have reviewed the 'search serendipity' literature in past posts, so won't go over that again, rather focus specifically on a few methods in... Continue Reading →

Looking forward to presenting at the end of this month at the ESRI Petroleum GIS PUG at St Paul's in London. Applying text analytics and machine learning to detect geoscience analogues and how that can be represented spatially. https://www.esri.com/en-us/about/events/euro-petroleum-conference/overview