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Semantic Web and the Perfect Search

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					Semantic Web and the
   Perfect Search
     By: Nolan Smith
            Semantic Web
• Tim Berners-Lee started semantic web
  around 1998 or so, and quickly gained the
  attention of an increasing circle of people.
• The SemWeb was originally supposed to
  give the web the “smarts” it lacked and
  much of the early work on it dealt with
  calendaring, scheduling, and expressing
  relationships between people.
      Semantic Web (cont’d)
• Purpose: provide an easier way to find
  things on the web.
• Executes complex tasks built upon finding
  things such as
  – scheduling a meeting
  – planning a trip
  – organizing a wedding
  – Etc.
       Semantic Web (cont’d)
• Example from reading:
  – If A is a friend of B, then B is a friend of A.
     • Prof Babu has a friend named Nolan
     • Therefore, Nolan has a friend named Prof. Babu
• So if I find a statement on Prof. Babu’s
  web site that says, “Prof. Babu is a friend
  of Nolan” and someone does a search for
  Nolan’s friends, even if Nolan’s web site
  doesn’t mention Prof. Babu, we know Prof.
  Babu considers himself a friend of Nolan.
        Search for Perfection
• Rise of Semantic Web: the tagging of
  information so as to make it more easily found.

• Other Improvements:
  – Ubiquity: the integration of more and more information
    into the web indexes.
  – Personalized search: the application of your personal
    Web toward a more perfect answer.
  – Domain specific search.
  – Web time axis.
                     Ubiquity
• Critical to perfect search
   – Means nothing if the search engine does not
     understand your likes and dislikes.
• Gives every piece of information, such as music
  or books, and index which makes it easier to find
• Example
   – Napster: millions of people ripped copies of their
     favorite music to the Web.
   – It became much easier to find any song on the Web
        Personalized Search
• Local search = personalized search
• Google’s version of local has two inputs:
  – The search term itself
  – A bit of local information (i.e. zip code or town
    name)
• Example
  – Searching for basketball tickets
     • Search will return tickets in Durham not Russia
       Domain specific search
• Battelle states “Domain specific search solutions
  focus on one area of knowledge, creating
  customized search experiences that, because of
  the domain’s limited corpus and clear
  relationships between concepts, provide
  extremely relevant results for searchers” (274).
• Domain specific search only searches for things
  within a specific area, such as cars or computers
• Example based on what we’ve learned about
  Ubiquity and Domain Specific Search
  – When I search for “Jaguar”, the search engine knows
    to return the car and not the animal
             Web Time Axis
• Allows for a search constrained by date
  – Specific time period instead of searching for
    specific dates.
• You could ask the search engine
  – “Show me all results for my query from a
    specific time period”
  – “Tell me what were the most popular results
    for ‘George W. Bush’ on May 3, 2004”
The End!!

				
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posted:10/6/2012
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