Driven by an information need to ‘show me something I don’t already know’, I conducted an exploratory study recently to investigate whether algorithms in general had the potential to suggest ‘surprising sentences’ from geoscience text. Ten geoscientists (consisting of 8 experienced exploration geoscientists and 2 support staff with geoscience backgrounds) each rated 100 test sentences... Continue Reading →

    I I was interviewed by Dr Susan Nash this week, Director of Innovation and Emerging Science, at the American Association of Petroleum Geologists (AAPG). The topic was how I became involved in innovation - along with some of my recent work on the detection of 'surprise' and the 'potentially surprising' in geoscience texts.... Continue Reading →

  I founded a new technology start-up recently focusing on developing Python code, lexicons and training sets to aid the extraction of knowledge from geoscience unstructured text. Target industries range from geological surveys, oil & gas exploration, economic mining through to geo-health and space exploration. The focus is development of Intellectual Property (IP) through Python... Continue Reading →

  The video and slides from the conference last week in London are online. Click on the article title 'Detecting surprise in geoscience text' in this tile to bring up the post full view and then you will see the link to the video is clickable. Click here to watch the talk and slides

I presented at the Finding Petroleum Expert Centric Digital Technology event at the Geological Society of London today. A big thanks to Karl Jeffery for organizing. The themes were about putting the domain expert and models at the centre of technology designs. There were many insightful presentations including those from David Bamford (Director PetroMall Ltd), Dimitris... Continue Reading →

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 →