Search usage data from Q1 2020 compared to 2019 over the same period (Jan-March 2020). Data is shown compared to the mean usage for Q1. On Monday 16th March 2020 in the evening, several Head of States made addresses to their nations implementing various forms of lockdown/social distancing.
Comparing Google Scholar Usage to China’s Baidu Academic Search Usage Patterns.
I will be conducting research over the coming weeks and months on the impact COVID-19 is having on search behaviour. In my previous post usage data (from DuckDuckGo) showed a marked (unprecedented) increase in the use of Internet search engines as many people stay and work from home and uncertainty caused by COVID-19. Segmenting the... Continue Reading →
Increased Uncertainty – Increased Search
Figure 1 - Increased search query traffic likely due to Coronavirus effects It is well known through sites such as Google Trends that search queries such as 'coronovirus' see a surge in usage (frequency). What is less clear as Google do not release their daily search query volumes, is the effect on overall search behaviour... Continue Reading →
Search systems within enterprises may take on a significance never seen before in the history of the digital workplace.
With more people working from home due to Covid-19, enterprise search engines may play a more prominent role to meet information needs. Having capable search engines has always supported the digital workplace complementing discussion groups, collaboration and peer to peer communication tools. Research I conducted in 2014 with 55 geoscientists in the workplace, provides evidence that... Continue Reading →
Article on Infoscience Technologies in OilIT
Infoscience Technologies https://infosciencetechnologies.com Headlining in OilIT
Geoscience Digital Transformation – Text Mining Presentation at Geol Society of London, March 23rd 2020
Looking forward to presenting at the Finding Petroleum conference on the 23rd March 2020 at the Geological Society of London. http://www.findingpetroleum.com/event/Investing-in-North-Sea-projects-and-technology/f1404.aspx Abstract Most of the published literature on text mining in exploration geoscience focuses on extraction of data or concepts typically in the sentence or document 'container'. There are no known approaches that look for... Continue Reading →
Search Insights 2020: Free 54 Page Report
The Search Insights Report 2020 is out. This has been produced by The Search Network as a service to the search community. There is no charge and no sponsorship. I was honoured to be asked to contribute an article which opens the report. Download the 54 page PDF with the link below: Search Insights 2020_The... Continue Reading →
Google AI – Natural Language Processing
The pace of Natural Language Processing (NLP) developments continues to accelerate. Very interesting article and research from Google released this month using their massive Colossal Clean Crawled Corpus (C4). Worth a read! Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformer. https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html
Predicting Play Types from Literature Before they are Discovered
Predicting hydrocarbon plays from text using machine learning and natural language processing. I recently tested the OpportunityFinder Algorithm on a selection of public domain geoscience literature. Only literature published between 1990 to 2010 was used, some time before a major gas discovery was made in the area. The hypothesis was whether the algorithm could surface... Continue Reading →
The Cambrian Explosion (…of search technology)
Happy New Year everyone! A light hearted look at enterprise search evolution to start the New Year. This is an extended summary, the full article will be published in "Search Insights" in March 2020 including the link to digital transformation. The Cambrian explosion occurred more than 500 million years ago, a rapid burst that diversified... Continue Reading →