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PERsonlisation TAgging interface INformation in Services (PERTAINS) PowerPoint Presentation
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PERsonlisation TAgging interface INformation in Services (PERTAINS)

PERsonlisation TAgging interface INformation in Services (PERTAINS)

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PERsonlisation TAgging interface INformation in Services (PERTAINS)

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  1. Caroline Williams, Executive Director of Intutecaroline.williams@manchester.ac.ukAndy Priest, Intute Technical Co-ordinatorandrew.priest@manchester.ac.uk PERsonlisation TAgging interface INformation in Services (PERTAINS)

  2. Background • University of Glamorgan and Mimas • Intute and Copac • Follow on from EnTag

  3. PERTAINS – Tag Suggestion Services • Rationale • Draws on previous work (EnTag project) • Improving quality of user tag metadata • Basis for suggestions • Using existing document metadata • Titles and abstracts • Classification terms and existing keywords (user tags) • Suggestions from controlled vocabulary • Matching against DDC captions and relative index terms

  4. PERTAINS – Tag Suggestion Services • Document Metadata • Title • Classification • Uncontrolled keywords • Controlled keywords • Description Suggestion Services DDC (SKOS) • Aim – improve quality of tag metadata • Basis – existing document metadata / DDC (SKOS) • Algorithm – matching, weighting, filtering, ranking • Implementation – URL based web service interface

  5. PERTAINS – Tag Suggestion Services • Algorithm • Disambiguation of suggestions • Area of Interest (AOI) filter – restrict suggestions to specific subject areas (DDC summaries) • Weighting of suggestions - ranking by relevance • Implementation • Boolean full text matching (MySQL) • URL based web service call interface • Fast, scalable, platform neutral • JSON data structures returned

  6. What does it do?