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The history of computing is full of innumerable attempts to capture human knowledge. This library presents some of the individuals who have greatly contributed to our better understanding of the challenges awaiting those who attempt to build and use intelligent systems. As we go along we will be expanding the library by introducing the ideas and individuals shaping human-computer symbiosis.

About capturing human knowledge

  • "As We May Think" by Vannevar Bush, published by The Atlantic Monthly, July 1945

    "The human mind .....operates by association. With one item in its grasp, it snaps instantly to the next that is suggested by the association of thoughts, in accordance with some intricate web of trails carried by the cells of the brain. It has other characteristics, of course; trails that are not frequently followed are prone to fade, items are not fully permanent, memory is transitory. Yet the speed of action, the intricacy of trails, the detail of mental pictures, is awe-inspiring beyond all else in nature."

    - by Vannevar Bush


    "The process of tying two items together is the important thing."

    - by Vannevar Bush


  • Augmenting Human Intellect: A Conceptual Framework by Douglas Englebart, Stanford Research Institute, Menlo Park, Ca., October 1962

    "By 'augmenting human intellect' we mean increasing the capability of a man to approach a complex problem situation, to gain comprehension to suit his particular needs, and to derive solutions to problems. Increased capability in this respect is taken to mean a mixture of the following: more-rapid comprehension, better comprehension, the possibility of gaining a useful degree of comprehension in a situation that previously was too complex, speedier solutions, better solutions, and the possibility of finding solutions to problems that before seemed insoluble."

    - by Douglas Englebart


  • "It's the Context, Stupid" published by Paul Saffo , Wired Magazine Issue 2.03 - Mar 1994

    "It is not content but context that will matter most a decade or so from now. The scarce resource will not be stuff, but point of view. "

    -Paul Saffo

Context Library

What is context?

Information is often not useful alone. It needs to be selectively amplified and filtered by its context because the human mind must use context to make sense of what information is relevant in a given situation... [Go...]

What is ContextPortal™?

ContextPortal is a platform that adds a context-centric view of information to your office applications. ContextPortal offers a set of tools and techniques that provide automatic organization of unstructured information into rich context maps ... [Go...]

 

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Glossary

Context

Context is the orientation or framing of your task-at-hand both in terms of 1) the key background information and goals as well as 2) the key relations to relevant concepts and information resources to achieve your goals.

Controlled vocabulary

A list of terms that have been enumerated explicitly. All terms in a controlled vocabulary should have an unambiguous, non-redundant definition.

Knowledge Formation from Text

Knowledge Formation from Text is a means of machine processing to extract structured information that serves as representations of knowledge from text.

Knowledge Object

A knowledge object is an encapsulation of information with metadata such that users can readily recognize and use the contents and computers can support retrieval and other processes.

Metadata

Metadata is data about data, or information about information, added to facilitate both human retrieval and management and machine processing of information.

Ontology

An ontology is a conceptual model of the concepts in a domain of interest. An ontology is a description of the types of objects that we think about when we make decisions and solve problems in a domain of interest.

Relations

One of the most important aspects of an ontology is representation of relations between concepts. Without relations, concepts would exist in isolation. With relations, meaningful contexts can be configured with a network of concepts, each concept participating in specific roles with respect to its associated concepts. Personal Knowledge Base

A Personal Knowledge Base is a set of concepts, facts, and documents collected by or for an individual, from the individual user’s perspective, and oriented towards that user’s goals, needs, tasks, work and learning styles, and unique skill sets.

Taxonomy

A taxonomy is a hierarchical system of classification of knowledge in a domain. Taxonomies use a controlled vocabulary to show how more general categories are refined into more specialized ones.

Thesaurus

A networked collection of controlled vocabulary terms. This means that a thesaurus uses associative relationships in addition to parent-child relationships.

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