1 / 10

PERsonlisation TAgging interface INformation in Services (PERTAINS)

Caroline Williams, Executive Director of Intute caroline.williams@manchester.ac.uk Andy Priest, Intute Technical Co-ordinator andrew.priest@manchester.ac.uk. PERsonlisation TAgging interface INformation in Services (PERTAINS). Background. University of Glamorgan and Mimas Intute and Copac

aiko-cummings
Download Presentation

PERsonlisation TAgging interface INformation in Services (PERTAINS)

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. 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?

More Related