Scholarly Publishing, Search & Discovery

Platform Strategies Conference, National Union Building, Washington DC September 26-27 2018 Hosted by Silverchair. Conference notes: Dr Paul H. Cleverley, Robert Gordon University, Aberdeen, UK Introduction Over 100 people gathered at the platform strategies conference this week, converging on the 1890’s Brownstone National Union Building in the Penn Quarter of Washington DC between the White... Continue Reading →

Advertisements

Machine Learning on Subsurface Data

20th September 2018, FORCE, Norwegian Petroleum Directorate (NPD), Stavanger Brief event write up: Dr Paul H Cleverley, Robert Gordon University Introduction Over 130 people attended the event held in Stavanger on the 20th September, mainly Oil & Gas Operators (Equinor, AkerBP, ConocoPhillips, Spirit Energy, Wintershall etc.). The event was excellently organized by Peter Bormann (ConocoPhillips),... Continue Reading →

Search is on the move…

Today, there are more search queries made on mobile devices than on desktop computers, which has probably been one of the major changes within information search during the past decade, along with the rise of voice search. I was invited to conduct a book review over the summer of ‘Mobile Search Behavior: An In-depth Analysis... Continue Reading →

Chemical Element Entity Extraction from Economic Geology Journals: Combining word frequency in text with measured numerical data

Finding trends and patterns in unstructured text can be possible without combining with other data sources. However, combining derived structured data from text analytics with measured real world data can also lead to differentiating insights. Figure 1 shows the frequency of occurrence of chemical elements in the text of 100 years of the Society of... Continue Reading →

Unsupervised Machine Learning: Clustering Geoscience Text Using Co-occurrence windows and Principal Component Analysis (PCA).

Unsupervised machine learning techniques exploit latent patterns in text (in layman's terms - normally some form of complex word co-occurrence) rather than rules driven by human labelled data. As this is essentially an inductive technique, it can be useful to stimulate ideas and questions that the information professional or geoscientist a priori, may not have... Continue Reading →

Using Search Term Word Co-Occurrence for Browsing Search Results: What is most popular is not necessarily the most interesting.

I conducted some exploratory search research with geoscientists and engineers in numerous oil & gas companies back in 2014-2015, which I have recently revisited. Unlike lookup/known item search where a user is seeking something specific, an existing need, something they know exists where there is a 'right answer', exploratory search tasks are more loosely defined.... Continue Reading →

Applying Natural Language Processing (NLP) to Scholarly Geoscience Literature.

Presenting research on Artificial Intelligence (AI) in academic publishing 26-27 Sep, Washington DC, along with Google, Web of Science, SAGE, Taylor & Francis etc at the Silverchair technology platform conference. https://www.silverchair.com/community/platform-strategies/ In my talk I'll be covering unsupervised machine learning, supervised machine learning, rule based methods (and hybrids) with actual examples of how each technique... Continue Reading →

Powered by WordPress.com.

Up ↑