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{ "item_title" : "Metadata Management in Statistical Information Processing", "item_author" : [" Karl A. Froeschl "], "item_description" : "As the integration of statistical data collected in various subject matter domains becomes more and more important in several socio-economic etc. investigation areas the management of so-called metadata - a formal digital processing of information about data - gains tremendously increasing relevance. Unlike current information technologies (e.g., database systems, computer networks, ...) facilitating merely the technical side of data collation, a coherent integration of empirical data still remains cumbersome, and thus rather costly, very often because of a lack of powerful semantic data models capturing the very meaning and structure of statistical data sets. Recognizing this deficiency, Metadata Management proposes a general framework for the computer-aided integration and harmonization of distributed heterogeneous statistical data sources, aiming at a truly comprehensive statistical meta-information system.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/21/182/987/3211829873_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Metadata Management in Statistical Information Processing|Karl A. Froeschl

Metadata Management in Statistical Information Processing : A Unified Framework for Metadata-Based Processing of Statistical Data Aggregates

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Overview

As the integration of statistical data collected in various subject matter domains becomes more and more important in several socio-economic etc. investigation areas the management of so-called metadata - a formal digital processing of information about data - gains tremendously increasing relevance. Unlike current information technologies (e.g., database systems, computer networks, ...) facilitating merely the technical side of data collation, a coherent integration of empirical data still remains cumbersome, and thus rather costly, very often because of a lack of powerful semantic data models capturing the very meaning and structure of statistical data sets. Recognizing this deficiency, "Metadata Management" proposes a general framework for the computer-aided integration and harmonization of distributed heterogeneous statistical data sources, aiming at a truly comprehensive statistical meta-information system.

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Details

  • ISBN-13: 9783211829875
  • ISBN-10: 3211829873
  • Publisher: Springer
  • Publish Date: April 1997
  • Dimensions: 9.61 x 6.69 x 1.13 inches
  • Shipping Weight: 1.93 pounds
  • Page Count: 537

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