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30 Nov Architecting Meaningful Relationships

meaningful-relationships

How do you know — anything? Chemicals and electrical impulses splash around in the brain, and voila: we understand the meaning of life, the universe and everything. We have looked at how synapses connect neurons, and how taxonomical and other associations connect concepts, but is it even possible for a computer to understand the complex […]

20 Oct High 5s of Intelligent Information Modeling

Converged Canonical Model

Quantitative data is easy to make into useful information by establishing correct associations and providing human experts with the right slicing and dicing tools. But in its native format, data is not independently meaningful. Many qualitative content sources are narrative, born as whole information. Such content is advanced beyond data because of the built-in associations, but inevitably more difficult for machines to […]

06 Aug Data Convergence at Velocity

Volume Velocity and Variety

Knowledge workers in all types of organizations need information in internal (to the organization) databases, intranet sites and documents, as well as information in external databases, web pages and documents. The promise of data convergence includes the lofty goal of providing, from a single request, structured and unstructured information from both internal and external sources that can […]

07 Jul SPARQL Fireworks

Sparkler

How do you get at knowledge in conceptually structured information stores such as graphs? There are multiple ways to get data and information in broad use today. The most common is Structured Query Language (SQL) which is used as the almost universal access formalism for getting, storing and manipulating data in relational databases. An emerging standard […]

26 Feb Choosing an Ontology Framework

Knowledge Domains

Ontology is a knowledge representation language like Roger Schank‘s Semantic Networks and John Sowa‘s Conceptual Graphs or Doug Lenat‘s Semantic Web. An Ontology framework is the model (structure, function and content definition) in which you choose to build your ontology. Like a Relational Database or an Object Oriented Programming Language, an ontology has defined structures, functions […]

18 Sep Context is King Indeed

Knowledge Coordination Layer

There are many important innovations adding context to business processes and data to make information access, collaboration and analysis more effective. I just read another great perspective on context in collaboration showing how taxonomies add value to teams of knowledge workers. Adding context is especially needed in moving toward the knowledge enterprise. I contend that […]

07 Sep Quest for the Knowledge Enterprise

Knowledge Enterprise

Do you need a Private Eye? As an Intelligence Professional, my mission was to seek out information that others were trying to conceal. Do you ever feel like that is too often your task when trying to find the answers to life’s persistent questions, or even something you need to buy? In an enterprise, those answers […]

29 Aug Black Boxes: Specialized Areas of the Brain

Black Box

The Black Box Black Box is a term used to describe a mechanical device that does something inside, but whose functions are not visible from the outside. Specialized areas of the brain may operate as black boxes. Activation flows in and activation flows out, and what happens inside may have no direct affect on other […]

09 Jun The End of Code

Joe's Ontology

09 Jun Cybernetic Modeling