I once posted about making use of narrative objects.  In this blog, I will be discussing an algorithm that supports the creation of these objects.  I call it my “Infereferencing Algorithm”: this term is most easily pronounced with a slight pause between “infer” and “referencing.”  I consider this a useful and widely applicable algorithm although I don’t believe it operates well in a relational database environment.  Instead, I use “mass data files”:  these contain unstructured lumps of…

At times it might be desirable to determine what storylines on a narrative database contain certain key elements.  In the example below, the object “Alien Allan” is used to compile a listing of titles on the database that are in thematic agreement.  But rather than simply provide the listing of titles, the algorithm tabulates the key elements contained in these titles.  Notice that the most important elements resulting from the search do not necessarily match the elements in the submitted…

I spotted an interesting book in my local library recently:  The Final Report of the Truth and Reconciliation Commission of Canada [1].  I thought to myself, our government spent considerable resources on this commission.  I should at least browse through the final report.  I flipped through the first few pages.  I found a note saying that the contents are public domain.  In this blog, I reproduce some of the contents of the report to create a setting for my discussion on operational data. …

In this blog, I will be discussing the use of attribution models in relation to codified narrative. For this purpose, I will be referring to the plots of two films: the 1974 horror classic “The Texas Chainsaw Massacre”; and a 2014 dark comedy called “Tusk.” I have my own codification system called BERLIN: this is short for “Behavioural Event Reconstruction Linguistic Interface for Narratives.” An attribution model supports the inference of meaning from data. Imagine a student one day going…

I want to interrupt my "blogging fast" in order to discuss developments to my final programming effort called Elmira. On Elmira, among other things, I hold storylines from fairytales, movies, television episodes, and real-life court cases mostly dealing with abductions, forced confinement, missing persons, sexual predators, stalkers, and serial killers. Consider a movie like "Hostel" directed by Eli Roth. With my…

In this blog, I will be discussing some distinct types of data involved in feedback. The types that I will be covering are as follows: 1) structural; 2) event; 3) quantitative; 4) contextual; and 5) systemic. In 2014, I recall reading a number of blogs about three types of data: prescriptive, descriptive, and predictive. There was a data scientist apparently on tour lecturing extensively about these three types. I don't recall the individual's name. Well, prescription, description, and…