Browsing or Searching

Blog entry has been moved to:

Comments

jargonaut said…
The current query technology limits user’s allowable contextual input. The rule: garbage-in-garbage-out still holds. Vocabulary-oriented Ontology-based “Fuzzy AI” enables very articulate user input of the contextual nuances of entire ideas.

“AI does not mean “self aware”. Real AI would allow an out come of a problem to be produced from known data and from the ability to fill in the blanks of data unknown. Real AI adds a “maybe”. John Pusinsky calls this "grey logic." We are already close, MIT Press publishes: Ontologies for Bioinformatics - the last chapter outlines Ken Baclawski's path to John's – “maybe” - "The Bayesian Web." An implemented "fuzzy AI" example of “semantically intelligent vocabulary filtering” is located at Boston Children’s Hospital’s “Center on Media and Child Health.” www.cmch.tv/research/. Scalable Ontology-Based NLP eliminates the need for “query structuring” by a user. O-BNLP excels with unrestricted length conversational style queries - lots of “context.” At CMCH, pre-indexed “abstractions” of content from ten different “social science” professions are filtered by the underlying SKIP technology and ordered more precisely when the seeker is using “jargon”, well-articulated community-unique vocabulary. Try some questions like: What is the impact of the media on adolescent sexual attitudes and behaviors? Or, Can parents prevent children from experiencing unwanted effects of violent television?

Popular posts from this blog

Kashmiri memories

The Impact of Mr. Jones' class

I have to say...