Difference between revisions of "Semantic tagging"

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'''Semantic tagging''' is a way to classify certain entities. The tagging process consists of two primary steps:
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'''Semantic tagging''' is a way to classify certain entities. The [[semantic tags|tagging process]] consists of two primary steps:
  
 
# Identify the instances that shall be classified (tagged); e.g., ''cities''.
 
# Identify the instances that shall be classified (tagged); e.g., ''cities''.
# Classify (tag) these instances by assigning them to certain categories, if applicable; e.g., ''national capitals''.
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# Classify (tag) these instances by assigning them to certain groups or labels, if applicable; e.g., ''national capitals''.
  
Almost all of the semantic tagging that's taking place in [[Directory:Centiare|Centiare]] will fall into two types of scenarios -- '''Relations''' and '''Attributes'''.
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===Other sources===
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For a better understanding of semantic tagging within MyWikiBiz, please see the following pages:
  
Suppose you were writing an article about the city of Berlin, Germany.  You could easily type out in the article that "'''Berlin is the capital of the unified country of Germany, and there are nearly 3.4 million people living in its metropolitan area.'''"  That's really good encyclopedia information.
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:*[[Help:Semantic tagging|Brief overview]] of semantic tagging
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:*[[Help:Semantic_Tags|Detailed explanation]] of coding semantic tags
  
However, if someone searches for the exact phrase "capital of Germany" or "population of Berlin", your sentence that happens to answer both of those questions would not be returned by either of those particular text searches.  What we hope to see in Centiare is active use of the semantic tagging process, so that such information is more likely to be found -- by either humans typing in commands, or machines programmed to find information. 
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A Google Co-op search engine restricted to 27 wikis deploying Semantic MediaWiki:
 
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:*[[Semantic MediaWiki search engine]]
So, the essence of semantic tagging is, somewhere in the Berlin article text, or in an infobox, or even in an addendum at the bottom of the article, if you want to create a semantic link that describes a "capital-relationship", this is done by writing:
 
 
 
<nowiki>[[capital of::Germany]]</nowiki>
 
 
 
Note the use of two (2) colons in succession.  You've just created a semantic tag '''Relation'''.
 
 
 
Furthermore, if you want to create a semantic link that describes a "population-attribute", this is done by writing:
 
 
 
<nowiki>[[population:=3,396,990]]</nowiki>
 
 
 
Note the use of the colon and equal sign in succession.  You've just created a semantic tag '''Attribute'''.
 
 
 
When people use the [[Special:SearchTriple|"Search Triple"]] feature in Centiare, they will have utmost confidence and success in finding the articles they are looking for, if they correctly use the search forms, and you've correctly tagged your articles for semantic searching.
 
 
 
The possibilities for this are literally limitless, for both businesses and individuals.  Imagine conducting a search for a male, born in Michigan between 1965 and 1968, who has interests in both skiing and poker.  Do you think that would be easy with MySpace, Wikipedia, or Google?  Fat chance.  But on Centiare, it will be a [[Directory:Gregory_J._Kohs|piece of cake]], if you learn to use the '''ASK''' function.
 
 
 
===The ASK function===
 
 
 
Centiare uses a parser function called '''[[Centiare:ASK|ASK]]''' to perform free-form queries. ASK provides a ready complement to the [[Centiare:Search Triple|Search Triple]] query-by-form facility.
 

Latest revision as of 16:46, 20 November 2008

Semantic tagging is a way to classify certain entities. The tagging process consists of two primary steps:

  1. Identify the instances that shall be classified (tagged); e.g., cities.
  2. Classify (tag) these instances by assigning them to certain groups or labels, if applicable; e.g., national capitals.

Other sources

For a better understanding of semantic tagging within MyWikiBiz, please see the following pages:

A Google Co-op search engine restricted to 27 wikis deploying Semantic MediaWiki: