1 / 10

MERLIN (Metadata Enrichment for Libraries in a London Institutional Network): short overview

MERLIN (Metadata Enrichment for Libraries in a London Institutional Network): short overview. Martin Moyle Digital Curation Manager UCL Library Services, UK m.moyle@ucl.ac.uk. MERLIN Steering Group 1, 26 January 2010. Background.

rhonda-graham
Download Presentation

MERLIN (Metadata Enrichment for Libraries in a London Institutional Network): short overview

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. MERLIN (Metadata Enrichment for Libraries in a London Institutional Network): short overview Martin MoyleDigital Curation Manager UCL Library Services, UKm.moyle@ucl.ac.uk MERLIN Steering Group 1, 26 January 2010

  2. Background • JISC funded (Information Environment 09-11, Resource Discovery strand) • Partners: UCL, ULCC, University of Nottingham • Aims • use off-the-shelf text-mining tools to enrich repository functionality • refine this work with user feedback and roll out • 18 months (April 2009 – September 2010)

  3. Objectives • Integrate NacTEM tools in the SHERPA-LEAP consortial repository ‘LASSO’, deriving weighted keywords from source repositories. • Modify LASSO to expose these mined terms for discovery. • Work with users to ensure usefulness and user-friendliness of these modifications. • Experiment with thesauri: can mined terms be used to support/enhance structured navigation? • Roll out a MERLIN tool for plugging in to IRs. • Full project evaluation. • Dissemination.

  4. Text-mining for repositories: why? • Improve discoverability of repository content • Cost-effective description – cheaper than subject cataloguing… • Uses researchers' own vocabularies • Supports interdisciplinarity • Adds selectivity and weight to full text indexing • May also be used as the basis for structured navigation • Examples: how MERLIN outputs might look…

  5. LASSO: basic search

  6. LASSO: with terms mined from full texts Terms are weighted by frequency. Use slider to see more/fewer terms Select a mined term...

  7. ...new set of records associated with that term is retrieved

  8. Progress / next steps • Done • Initial text mining • Integration of mined dataset with LASSO data • LASSO customisation under way • Tasks between now and Easter • User evaluation of LASSO; iterative improvement • Refinements to text mining; full integration into LASSO workflow • Begin thesaurus work...

  9. Thesaurus interaction - example

More Related