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High-Level Thesaurus (HILT) project: Recent work

High-Level Thesaurus (HILT) project: Recent work. IFLA 2007 Dewey Translators Meeting 21 Aug 2007, Durban. The Problem. Spade: Shovel? Digging tool? Playing cards? Shaufel? La Pelle?

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High-Level Thesaurus (HILT) project: Recent work

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  1. High-Level Thesaurus (HILT) project: Recent work IFLA 2007 Dewey Translators Meeting 21 Aug 2007, Durban

  2. The Problem • Spade: Shovel? Digging tool? Playing cards? • Shaufel? La Pelle? • HILT aims to facilitate cross-searching distributed information services by subject in a multi-scheme, multi-lingual “common information environment” • Archives, Libraries, Museums, Online

  3. Requirements • Success requires distributed collaborative action at local, national, and international level • Focus of HILT: to identify a generic standards-based approach allowing widespread participation

  4. HILT: Background • Funded by Joint Information Systems Committee, and supported by OCLC • To provide subject interoperability in a multi-scheme environment via inter-scheme mapping • Ideally by identifying a generic approach that can be developed through distributed collaborative action …

  5. Mapping • DDC used as a semantic translator between different Anglophone subject terminologies • Availability of DDC mappings to captions, relative index and LCSH • Tested with other terminologies • DDC also used to classify collections • “Subject landscaping” gives best places (catalogues) to search for items • (Item > Collection) = (Specific > General) = Truncation of DDC notation

  6. Possibilities • Recent development of a distributed machine-to-machine architecture • Search/Retrieve over Web; Simple Knowledge Organization System • Allows other, non-DDC mappings to be used within the HILT model • Encouraging the wider participation required to facilitate global subject interoperability • A model architecture for collaboration whatever the preferred approach to interoperability

  7. Can see: description (top) Top levels browse hierarchy Search box – common - teeth

  8. System responds by finding term Identifying possible DDC captions Returning to user as shown User then chooses best fit for topic Number 3, dental diseases

  9. DDC no. For Dental diseases 614.5996, Screen shows using for 3 things 1. Successive truncation used to find these relevant services at DDC 610 2. Identifying the subject schemes they use (MeSH in these two instances) 3. Determining best term in scheme via mapping to DDC 614.5996 (dentition)

  10. Finally, dentition used to search last of these services; send back relevant hits

  11. 6 functions based on use cases • Get_DDC_records • Returns DDC captions and numbers related to an input term; list for user to choose best fit caption/no. • Get_collections • Returns collections classified under a specified DDC number or its stem, including subject scheme used • Get_non_DDC_records • Returns mappings to other schemes from a specified (untruncated) DDC number

  12. 6 functions based on use cases • Get_explain • Information about the service • Get_all_records • Combines the functions of get_DDC_records and get_non_DDC_records • Get_filtered_set • Allows specified fields from specific terminologies or combinations of terminologies to be searched – enabling functionality beyond phase II to be added

  13. Further information • Website (all HILT phases): • http://hilt.cdlr.strath.ac.uk/ • E-mails: • d.m.nicholson@strath.ac.uk • e.mcculloch@strath.ac.uk

  14. www.slainte.org.uk/edugit/index.htm

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