Results by title
5 books match the query 'Database management'
Data Management for Libraries
Carly A. Strasser
American Library Association, 2013
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Introduction to Metadata
Third EditionMurtha Baca
J. Paul Getty Trust, The, 2016
Metadata provides a means of indexing, accessing, preserving, and discovering digital resources. The volume of digital information available over electronic networks has created a pressing need for standards that ensure correct and proper use and interpretation of the data by its owners and users. Well-crafted metadata is needed more now than ever before and helps users to locate, retrieve, and manage information in this vast and complex universe.
The third edition of Introduction to Metadata, first published in 1998, provides an overview of metadata, including its types, roles, and characteristics; a discussion of metadata as it relates to Web resources; and a description of methods, tools, standards, and protocols for publishing and disseminating digital collections. This revised edition is an indispensable resource in the field, addressing advances in standards such as Linked Open Data, changes in intellectual property law, and new computing technologies, and offering an expanded glossary of essential terms.
The third edition of Introduction to Metadata, first published in 1998, provides an overview of metadata, including its types, roles, and characteristics; a discussion of metadata as it relates to Web resources; and a description of methods, tools, standards, and protocols for publishing and disseminating digital collections. This revised edition is an indispensable resource in the field, addressing advances in standards such as Linked Open Data, changes in intellectual property law, and new computing technologies, and offering an expanded glossary of essential terms.
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Knowledge Discovery and Data Mining
M.A. Bramer
The Institution of Engineering and Technology, 1999
Modern computing systems of all kinds accumulate various data at an almost unimaginable rate. Alongside the advances in technology that make such storage possible has grown a realisation that buried within this mass of data there may exist some knowledge of considerable value. This could be information critical for a company's business success or something leading to a scientific or medical discovery or breakthrough. Most data is simply stored and never examined, but machine-learning technology has the potential to extract knowledge of value (i.e. data mining).
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Metadata in Practice
American Library Association, 2004
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Understanding Data and Information Systems for Recordkeeping
Philip C. Bantin
American Library Association, 2008
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