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LBSC 670

This exploration delves into SOLR, a powerful faceted indexing system designed for metadata indexing and discovery. Utilizing REST web services, SOLR transforms any text document into an easily navigable user interface, enhancing the browsing experience. Key functionalities include dynamic query handling and support for complex metadata structures, allowing for fast retrieval of millions of records. This open-source solution is ideal for major corporations seeking efficient information organization. We'll cover server setup, user interaction examples, and practical applications of SOLR.

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LBSC 670

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Presentation Transcript

  1. LBSC 670 Information Organization

  2. Today • Dr. Jeffery Loo • An exploration of a metadata indexing and discovery system (SOLR) • Protégé work time

  3. SOLR • A faceted indexing service that accepts any text document, uses REST web-services and transforms XML output using XSL to create a user interface

  4. SOLR browsing

  5. SOLR application

  6. SOLR REST request • A GET example: • http://50.16.198.162:8984/solr/browse?&q=*.*&fq=cat:%22electronics%22 • /solr/browse The program • ?&q = Search terms • &fq=cat:%22electronics%22 The category • Review: • ? . . . The start of the Querystring • & . . . The Key=Value separator • = . . . Assignment operator

  7. The big ideas SOLR makes working with large, complex metadata structures simple SOLR is fast enough to be used by major corporations and works with millions of records quickly SOLR is not a database – it is a retrieval index SOLR is open source (or free software)

  8. SOLR exercise • Connect to a server • Install SOLR • Play with SOLR

  9. Users • solr8984 libraryland • solr8985 libraryland • solr8986 libraryland • . . . . • Solr9017 libraryland

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