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{ "item_title" : "Indexing and Retrieval of Non-Text Information", "item_author" : [" Diane Rasmussen Neal "], "item_description" : "The scope of this volume will encompass a collection of research papers related to indexing and retrieval of online non-text information. In recent years, the Internet has seen an exponential increase in the number of documents placed online that are not in textual format. These documents appear in a variety of contexts, such as user-generated content sharing websites, social networking websites etc. and formats, including photographs, videos, recorded music, data visualizations etc. The prevalence of these contexts and data formats presents a particularly challenging task to information indexing and retrieval research due to many difficulties, such as assigning suitable semantic metadata, processing and extracting non-textual content automatically, and designing retrieval systems that speak in the native language of non-text documents. ", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/11/026/057/3110260573_b.jpg", "price_data" : { "retail_price" : "166.99", "online_price" : "166.99", "our_price" : "166.99", "club_price" : "166.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Indexing and Retrieval of Non-Text Information|Diane Rasmussen Neal

Indexing and Retrieval of Non-Text Information

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Overview

The scope of this volume will encompass a collection of research papers related to indexing and retrieval of online non-text information. In recent years, the Internet has seen an exponential increase in the number of documents placed online that are not in textual format. These documents appear in a variety of contexts, such as user-generated content sharing websites, social networking websites etc. and formats, including photographs, videos, recorded music, data visualizations etc. The prevalence of these contexts and data formats presents a particularly challenging task to information indexing and retrieval research due to many difficulties, such as assigning suitable semantic metadata, processing and extracting non-textual content automatically, and designing retrieval systems that "speak in the native language" of non-text documents.

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Details

  • ISBN-13: 9783110260571
  • ISBN-10: 3110260573
  • Publisher: K.G. Saur Verlag
  • Publish Date: October 2012
  • Dimensions: 9.21 x 6.14 x 1.13 inches
  • Shipping Weight: 1.88 pounds
  • Page Count: 437
  • Reading Level: Ages 22-22

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