I have been mentioning about the semantic web and had a faint recollection of the origins but stumbled on this excellent link:
Basically, they wanted a solution to structure the webpages that are readable to the computers and developed language syntaxes around them. The details elude me (much of its mathematics and computer science) but the broader context is that metadata (data about data) is much more important than the page itself.
Here’s another link that explains the similarities between AI and semantic web and introduces a key set of definitions to parse (for the completely “non-tech” crowd).
Please do follow through the link out at the bottom of the post.
Artificial Intelligence (AI) is once again attracting everyone’s interest. This time around, it’s both connected and disconnected from fundamental ideas behind the seminal “Semantic Web” meme — unleashed in a Scientific American article, circa. 2001.
Here’s a brief definition of some frequently used terms that provide context for this post about reconnecting the notion of a Semantic Web and AI:
Artificial — not human
Intelligence — an ability to apply reasoning and inference to information (that is, data in some context)
Language — systematic use of signs, syntax, and semantics for encoding and decoding information via sentences
Signs — entity identification (Denotation and Connotation Duality)
Syntax — rules for arranging signs to construct a sentence; i.e., syntax
Semantics — meaning associated with each slot occupied by a sign in a sentence
Documents — where sentences are inscribed and persisted
RDF (Resource Description Framework) — language (or framework) for constructing digital sentences that are comprehensible to both humans and machines (courtesy of logic as the system’s conceptual schema)
Logic — formal expression of the fact that everything is related to something else, in a variety of ways; i.e., observation (or data) is a collection of entity relationships categorized (or classified) by relationship type (or relations)