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Seadle, 2016 - Google Patents

Managing and mining historical research data

Seadle, 2016

Document ID
8117061516512543218
Author
Seadle M
Publication year
Publication venue
Library Hi Tech

External Links

Snippet

Purpose–The purpose of this paper is to review how historical research data are managed and mined today. Design/methodology/approach–The methodology builds on observations over the last decade. Findings–Reading speed is a factor in managing the quantity of text in …
Continue reading at www.emerald.com (other versions)

Classifications

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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/30675—Query execution
    • G06F17/30684—Query execution using natural language analysis
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    • G06F17/21—Text processing
    • G06F17/22—Manipulating or registering by use of codes, e.g. in sequence of text characters
    • G06F17/2247—Tree structured documents; Markup, e.g. Standard Generalized Markup Language [SGML], Document Type Definition [DTD]
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    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting

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