As part of my PhD research I have been exploring search technology, search driven applications and the modality of use cases. The model below is a suggested continuum of use cases. The model above encapsulates 'classic search' in the bottom left hand corner, providing lists of results (web pages, documents) to meet an existing need. Precision... Continue Reading →

I was delighted to be invited to the GeoScienceWorld board meeting in Iceland during May, on behalf of Robert Gordon University, to talk about information search and discovery. Textual and spatial (http://www.opengeosci.org) are key information delivery areas. I thoroughly enjoyed the field trips and discussions, including representatives from MIT, American Geological Institute (AGI), Geological Society of... Continue Reading →

New article on Slideshare: http://www.slideshare.net/phcleverley/information-reservoir-bimodal-information-management-and-enterprise-search

Presented at a joint British Computer Society/Digital Energy Journal event on May 4th in Aberdeen, UK. SlideShare here: http://www.slideshare.net/phcleverley/machine-learning-using-text-for-geoscientists-facilitating-the-unexpected-in-enterprise-search Video here: http://www.digitalenergyjournal.com/video/Robert_Gordon_University_RGU/Paul_Cleverley/1761.aspx Presenting at the British Computer Society/Digital Energy Journal , Aberdeen May 4th 2016  

I was asked recently by a Chief Information Officer (CIO) of a large organization, where does search end and text analytics begin? It is an interesting question perhaps worth exploring and developing some models, one of which is shown below (Figure 1). Figure 1 - From ‘traditional search’ (green) to unlocking a wider range of... Continue Reading →

In their report on future work skills 2020, the University of Phoenix identified ‘sensemaking’ as a critical core skill for the workplace. Sensemaking is the ability to determine the deeper meaning or significance of what is being expressed (by humans and/or machines). The continued emergence of smart machines and artificial intelligence is likely to place... Continue Reading →

Introduction Finding information in the enterprise continues to be problematic for many reasons. There are many mechanisms that may influence conditions for better enterprise search & discovery outcomes. Some mechanisms may only work (‘fire’) under certain conditions. For example, a torch has the potential to cause a light, but not if the batteries are dead.... Continue Reading →

Whilst using search engines for online web searches or in the workplace, our hidden mental models of the information space play a part in how we search. They may also influence how we feel when searching and ultimately, our expectations. The mental models we hold of the information space can be hard to verbalize, but... Continue Reading →

The term ‘Deep learning’ has been increasingly used recently to describe how organizations augment their learning by applying machine learning techniques on large volumes of information (big data) to discover patterns. Building on the 2015 article ‘emergence of the corporate brain’, this article applies a systems thinking approach to balance the technology focus on deep... Continue Reading →