A voluntary non-commercial research blog since 2015
Modern search driven applications can help exploit information collections to derive insights beyond those found in any single record, document or paper. Recent article published online at CMSWire here
Guest blog post on the Association of Image and Information Management (AIIM) Website here: http://info.aiim.org/digital-landfill/information-overload-it-affects-machines-as-well-as-people SlideShare: http://www.slideshare.net/phcleverley/information-overload-it-affects-machines-as-well-as-people-66199423
A short article I wrote based on some recent research studies of using associative algorithms within enterprise search technology to stimulate fortuitous information encounters (serendipity) has been published in a column on CMSWire here
Many organizations are sitting on a wealth of unstructured text. There are many OpenSource and free tools than can help build large scale associative networks in either unsupervised or semi-supervised ways. With exponentially increasing volumes of information, much information is being ranked or suggested by popularity. That may effectively ‘censor’ some information through its obscurity.... Continue Reading →
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 →
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 →
A Geodyssey - Geoscience Text Analytics and Enterprise Search Research 