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Joanne S

webeval-QuestionsToAsk.pdf (application/pdf Object) - 0 views

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    Workshop for Topic 4.
Joanne S

How to solve impossible problems: Daniel Russell's awesome Google search techniques - 0 views

  • Most of what you know about Boolean is wrong.
  • Think about how somebody else would write about the topic.
  • Use language tools.
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  • Use quotes to search for phrases.
  • Force Google to include search terms.
  • intext:”San Antonio” intext:Alamo
  • It forces Google to show results with the phrase “San Antonio” and the word Alamo. You won’t get results that are missing either search term.
  • Minus does not equal plus.
  • “Control F” is your friend
  • Limit the time frame.
  • Use this keyboard shortcut to find a word or phrase on any web page. I
Joanne S

BBC News - Delivering Finland's web 'human right' - 0 views

  • broadband internet connection was a human right, and that everyone in the country must have a connection with a minimum speed of one megabit
Joanne S

What is a Database, really? Data Storage for Librarians « The Other Librarian - 0 views

  • A Text File Good old text is still not a bad way to store data. 
  • If you want to retrieve that information, you can use a script to tell the computer to organize the information in a particular way.   This is called parsing
  • Structured Text As you climb the data food chain, complex systems get developed to organize information. 
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  • Mark-up:   Marked information is data that has marks or signals to let a computer distinguish one type of data from the other.  
  • A variable:   A variable happens when you give some data a name. 
  • A string:   A string is a kind of variable that has text.
  • An array:   An array is a type of variable that includes a list used by computer programs for later manipulation.    
  • An object:   Explaining objects in full requires that someone read up on object-oriented programming.  
  • Tree-based  Structures Tree-based structures, or cluster models are a subset of “structured text” data storage models.  
  • XML is probably the best example.
  • data is organized in “parents”, “siblings” and “children”.
  • The Relational Model The relational model is better than a tree-model when your dataset is large and complicated.    The way it works is, instead of thinking in terms of “parents, siblings and children,” you think in term of relationships.
  • the “Primary Key.”   This means that every data object (such as a library) has a way of identifying itself in a unique way
  • a “Foreign Key.”    The Foreign key is a way to associate one dataset (eg. libraries) with another dataset (eg. library branches, hospitals or businesses).
  • This association is called a relationship.
  • In more complicated relationships (called the Many-to-Many relationship), you might have to create a third table to associate two entities.      
  • TEXT/XML Based Text files can be organized in such a way as to accommodate some of the benefits of the relational model.
  • Two examples of XML-based databases include Xindice and Sedna.
  • SQL/Binary-based Databases The more common relational database type is a piece of software running on a server, rather than a set of text files.   They are generally accessed using a standard language called SQL (Structure Query Language), or more specifically SQL as supported by a popular scripting language like PHP, Python or Java.
  • Almost any major web application will have a combination of all these types of data storage methods!  
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    How databases are used in libraries
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