Many search engines work by creating indexes for full text, data structures that pinpoint the location of almost every word. While generally very useful, this has the consequence of increasing the number of irrelevant items in search results. (”Radisson,” for example, can refer to the explorer, a hotel and resort chain, towns in Quebec and Saskatchewan, and so on.) Markup adds disambiguating information within texts.
Readings for Discussion
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NINCH Guide to Good Practice: Digitization and Encoding of Text in the Digital Representation and Management of Cultural Heritage Materials, National Initiative for a Networked Cultural Heritage (2002).
“A Conversation with Allen Renear,” Fox News (Nov 1999).
Cohen, Daniel J. “Digital History: The Raw and the Cooked,” Rethinking History (Jun 2004).
Cohen, Daniel J. and Roy Rosenzweig. “Getting Started,” Digital History. Philadelphia: University of Pennsylvania, 2005.
Kelly, Kevin. "Everything, Too Cheaply Metered," The Technium (15 Sep 2008).
Ray, Erik T. “Markup and Core Concepts,” Learning XML: Creating Self-Describing Data. Sebastopol, CA: O’Reilly, 2001.
Renear, Allen H. “Text Encoding,” in A Companion to Digital Humanities, ed. Susan Schreibman, Ray Siemens, John Unsworth. Oxford: Blackwell, 2004.
