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Transforming Current Awareness Through RSS

Lisa Rogers Research Associate Institute for Computer Based Learning Heriot-Watt University, Edinburgh, Scotland ticTOCs and Gold Dust Projects. Transforming Current Awareness Through RSS. ticTOCS & Gold Dust. Can RSS really transform current awareness?. RSS Current Situation

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Transforming Current Awareness Through RSS

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  1. Lisa Rogers Research Associate Institute for Computer Based Learning Heriot-Watt University, Edinburgh, Scotland ticTOCs and Gold Dust Projects Transforming Current Awareness Through RSS ticTOCS & Gold Dust

  2. Can RSS really transform current awareness? • RSS Current Situation • ticTOCs Project • Gold Dust Project • The way forward?

  3. Current Situation? • RSS for Sharing Information. • What are the uses in research? • RSS adoption. • What should information professionals do? • Information Overload: Is RSS contributing or easing the situation?

  4. ticTOCs Project • Journal Tables of Contents Service • Aggregates TOC feeds. • Find, Save, Display and Export latest Tables of Contents from over 12,000 journals ~430 publishers • Accommodates both users of RSS and non users • http://www.tictocs.ac.uk

  5. ticTOCs Demonstration

  6. Guidelines for Publishers of TOCs • Use RSS 1.0 specification • Use RSS 1.0 Modules (dc, prism, content)‏ • Don’t include HTML in the standard RSS elements • Use the RSS Content Module to present HTML marked up content. • Ensure feeds are valid • Include abstracts • Understand the purpose of each feed • Do not restrict access to TOC RSS feeds. • Provide up-to-date OPML file(s)

  7. ticTOCs Data Set • tiCTOCS text file http://www.tictocs.ac.uk/text.php • Tab Delimmited File with ticTOCs ID, Journal Title, Feed URL, ISSN, eISSN 1 Nature http://www.nature.com/nature/current_issue/rss 0028-0836 1476-4679 2 Nature Biotechnology http://www.nature.com/nbt/current_issue/rss 1087-0156 1546-1696 3 19th-Century Music http://caliber.ucpress.net/action/showFeed?ui=0&mi=0&ai=s2&jc=ncm&type=etoc&feed=rss 0148-2076 1533-8606

  8. Using tiCTOCs data set

  9. Gold Dust

  10. Tracking • ticTOCs usage: Articles viewed, exported or clicked on in ticTOCs are collected. • User Submitted Documents: Journal articles written by or of interest to user.

  11. Collated Articles are fed into NaCTeMs TerMine Web Service Personal Interest Profiles (PIPs) are produced Also trialled ExtMiner: Open Source tool combining structured search and document clustering techniques. compressive strength, 3 crack initiation, 6 shear stress, 4 critical shear stress, 9.50978 threshold value, 4 microcrack initiation, 2 martensitic steel, 2 impact response, 3 composite laminate, 3 structural variation, 2 health monitoring, 2 composite structure, 2 failure mode, 2 damage detection, 3 unified approach, 2 Profiling

  12. Matching • The Users profile is matched to items from the various categories of RSS Feeds

  13. Delivery

  14. Results • Item considered ‘Gold Dust’ if rated 8-10 • Tested 4 Methods in two Iterations • 2nd Iteration was better 15% and 14% • Best Categories were: • Journal Articles • Items from IR and SRs, • Theses and Dissertations • Engineering News Feeds • Best Results for a User was 63% ‘Gold Dust’

  15. Observations • Need more and better initial usage data • Require method of stopping generic terms • Matching against items of a similar style to input data gives better results • If a user’s research area is more specific results are likely to be better

  16. Conclusions • What should Information Professionals do? • What about RSS feed providers? • What about using RSS and text mining as a recommender system?

  17. Questions? • Questions? • Email L.J.Rogers@hw.ac.uk • Twitter @lisajrogers

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