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08 Feb Just In Time Knowledge

Coin Toss Masks

One of the beautiful things about the human brain is it’s adaptability: people can “change” their minds at the last minute based on the changing situation (context). This is not trivial, but I believe that it is one of the characteristics of human cognition that is relatively straightforward to mimic in computer programs and apps. In […]

28 Jan Summarization and Translation Domains

Multi-National Translation

Translation as A Sample Domain For our sample domain, we need something that requires expertise, is not trivial, and about which the author knows something. This limits us significantly, so we are taking the easy way out and going with the domain of Machine Translation (MT) of human languages. We considered the intricacies of communication […]

05 Jan Another Great Year in Cyberspace

Digital Flight Paths

2015 promises to be a good one. Going into the year we see massive progress in the “big data” movement ushering in unparalleled convergence of structured and unstructured content. I am seeing more model-based solutions, and broader use of semantics and ontologies in enterprise solutions. Mobile apps are getting smarter all the time with time […]

29 Dec Unhuman Expertise

Expert System Architecture with Common Sense

Artificial Intelligence has suffered from a persistent scale problem: up to now, many techniques have been shown to work well and reliably in narrowly defined domains, but outside the domains of their expertise, they fall apart very quickly. No techniques of which I am aware, have exhibited common sense in the way we expect humans […]

27 Dec Visualization Deception

Head connections

The differences between the way computers think about things and the way humans process information can create significant dissonance and opportunities for misunderstanding. Both are in the business of finding answers, but approaches differ. While for humans, things we see with our eyes may be earliest and foremost in our thought process, it is almost always the […]

23 Dec Visual Knowledge Dimensions

Statistical Analysis

Visualizing knowledge in graphs and charts empowers decision makers by giving them actionable knowledge in understandable format. To make this most effective, the labels on the graph must provide clearly defined context cues that make it easy to interpret. Converging data strategies using Big Data (Hadoop, NoSQL, Cassandra, MapReduce…) can change the way we access content […]

17 Dec Visualizing Knowledge

Visualizations on multiple devices

Visualizing Knowledge – Automatic Generation Words are so symbolic that even symbolic thinkers, like me, understand more when there’s a picture to go along with the words. is partly explains my crazy use of images in this blog. The various forms of graphical representations are superb inventions that enable us to view and understand mathematical data […]

10 Dec Measuring Knowledge

Measuring Knowledge

Sometimes you need to know about your knowledge. When you’re in the middle of trying to build a system that knows stuff, you may ask, how much does the system know after this training or learning cycle as a percent of the total knowable amount? When we test students in their learning cycles, we use a […]

03 Dec Co-Responsibility in Hybrid IT

SLA Management Tools

Operational Continuity takes a Village Today’s post departs from my current stream of topics because I am thinking about this subject often lately. I apologize for the ambiguous title, but I think it encapsulates what I want to talk about. “Hybrid IT” is a way of describing the technology supporting an organization in which the […]

26 Nov Planning and Scheming

Paint a Brain

Select a Knowledge Representation (KR) Scheme In prior posts I have been describing the steps of building knowledge systems. A major part of Step 3: Task 1 is defining how to store knowledge – selecting a scheme. Giarratano and Riley (1989) suggest making the selection of a scheme, such as rules, frames or logic, dependent upon […]