National Information Center for Educational Media (NICEM)

1. NICEM National Information Center for Educational Media(NICEM) May 20, 2009 Marjorie M.K. Hlava President National Information Center for Educational Media Access Innovations

2. Mission • NICEM was established on and remains committed to the principle that instructional media offer tremendous potential for improving learning. • The center exists to optimize the opportunities for using media in all realms of education. In order to fulfill its mission, our staff seeks out information about educational media and then transforms that information into an accessible and useful form. • In 1963 NICEM was established by the Department of Health, Education, and Welfare to provide audiovisual reference indexes, making the information available to the widest possible audience.

3. The Situation • Many media formats (more than 50) • Many Creators, Producers, Distributors More than 25,000 • Distributed availability - Hard to find • Need aggregation of this information • Complex agreements • Complex usage options • Tying to educational curriculum • Cataloging of non print • MARC Format • LC Depository rules

4. The Solution • Link the records and P/D’s in a database • Relationship with Library of Congress • MARC cataloging authority for Non Print Media • MARC exports • Data base records • Single IP record • Several Cataloging records • Multiple distributors • Multiple creators • Multiple formats • Build an Educational Curriculum Thesaurus • Give consistent access to the information • Organize as users use that data

5. Distribution Options - 1997 • Broad availability of the aggregated information / distribution • Printed Volumes • 106 titles • By media type • Thesaurus • By subject • Online databases • Silver Platter / Ovid • Dialog • NICEM Net • CD Rom - IDEA • The Library Corporation – MARC – AV Online

6. Distribution 2009 • NICEM Net • Wolters Kluwer - Ovid – AV online • The Library Corporation AV MARC • Media Sleuth • To acquire the media • Thesaurus • No print

7. Current Challenges • Constantly changing distributors • Limited budget • Changing personal • Knowledge base revolving door • Not able to hire experts in the field • Time pressures • Constantly changing hardware • Changing network options

8. The Decision Points • Capture the brain power • Create a knowledge base • Mitigate personal loss • Use the assets we have • Increase productivity • Maintain high accuracy and quality • Platform independent • Network • Hardware • Data format – not proprietary

9. Solution • Embrace open standards • XML, Java, TCP/IP, unicode • Flexible data base records – driven by XML Schema • Capture the knowledge in a rule base • Lots of automation to improve productivity • Data and range checks for quality • Leverage the thesaurus for findability • Enhancing search • Auto completion as you type using preferred and synonym terms • Related terms to expand the search • Narrower terms to refine the search • Taxonomy view for classified browsing • Rule search to expand search query • Direct link to e-commerce to improve media distribution

10. What does it look like? • Search using Search Harmony* • Use the thesaurus • Use navigation • Accommodate most learning styles • XML Intranet system for database creation* • Thesaurus Master to create and manage thesaurus* • MAI for automatic indexing* and rule base* • * all from Data Harmony

11. Metadata /Entity Extractor Auto Summarization M.A.I. Concept Extractor Novelty Detection M.A.I. Rule Bases GRAPHICAL USER INTERFACE Autocompletion Faceted search Thesaurus NICEM Search User interface Data Harmony Administrative Module WEB Server I SUBJECT TERMS ABSTRACT Dublin Core METADATA Rules for Concept Extractor Nav Tree Autocompletion Bibliographic citation with abstract and indexing NT and RT context MAIQuery NICEM Production and Search Architecture NICEM Editorial Search Harmony DH API Crawl and gather Web Content Uploads from P/D’s to the site DH CONCEPT EXTRACTION SYSTEM Distributor data Producer data Thesaurus Alerts

12. Auto completion as you type using preferred and synonym terms

13. Related terms to expand the search Expanding across hierarchies

14. Narrower terms to refine the search Narrowing using the thesaurus

15. Taxonomy view for searching NAVTree provides the navigation view with indication of number of objects tagged with each term

16. Find the topic, click, and retrieve precise information

17. Preferred term is presentedeasy access to thesaurus record or rule

18. Production Platform • Thesaurus fully integrated. • Save staff time • Increase accuracy • Increases search Findability • Multilayered • Producer distributor file fully integrated with unit records • IP layer in records • Media Layer • 25,000 Producers and distributors • 680,000 records

19. NICEM XIS Content Creation draws on XML-tagged elements

20. Machine Aided Indexer (M.A.I.) suggests taxonomy descriptors

21. Thesaurus Term Record view Taxonomy view

22. Many Views of the Taxonomy • Hierarchical • Alphabetic • Full term record • Permuted • Notational • XML export • Graphical

23. Best Results Measures • Accuracy – 92% • Productivity – 6.7 fold • Hits, Misses and Noise – 85% + • Precision (Recall) = 100% • Relevance = 100% • Ease of set up – two weeks • Time to production – one month

24. Return on Investment • In search • Autocompletion • Targeting by using narrower terms • Expand using Broader terms • Browse using the Navigation Tree (taxonomy views) • Explode query using the Rule base • Decrease search time by more than 50% • In Production • Increase productivity by suggesting valid terms 700% • Increase accuracy - 92% and better • Increase depth and consistency of indexing from 60% to 100% • Frees staff to do other things – from 31 to 2 editors • Decreased server load from 6 to 1 machine • No indexing latency – save record and its available on the search side

25. Thank you! • Marjorie M.K. Hlava • President • National Information Center for Educations Media • NICEM • PO Box 8640 • Albuquerque, NM 87198 • 4725 Indian School Road NE • Albuquerque, NM 87110 • 505-998-0800 • mhlava@accessinn.com

26. DataHarmonyand Category Navigation • Taxonomy display lets user browse categories • Link content to category display • Browsing categories lets user find information50% faster than listed results from free text search • Click the taxonomy topic, get all associated documents

27. Rule search to expand search query MAI Query entered in the search line

28. M.A.I. aids search • User searches for “cars” or “Ford” “Volkswagen” “SUV” “sedan” etc. • M.A.I. translates search word to taxonomy term Automobiles • M.A.I. returns all documents with subject metadata tag Automobiles

29. TM ’s term details – thesaurus record help narrow or expand search

30. (No documents in Microorganisms category in 1,000 document sample)

31. Direct link to e-commerce to enable distribution Link search and taxonomy directly to the supply or documents or ordering of item through a shopping cart

38. Naval Postgraduate School’s Homeland Security Taxonomy

39. DataHarmony™ Technical Details • Written in JAVA (JAVA plug-in installs automatically) • Stores data in XML format • Web Services or Client Server • Functions on any platform Windows, NT, Mac, Unix, Linux, Solaris Saas and ASP available • Password-controlled access

40. INTERNET (public) Commercial data sources Agency data sources Public repositories Locally held documents spiders Library catalogs Filtered content Search engine Search engine Search engine Search engine Search engine Search engine Meta-Search Tool TAXONOMY Web portal Efficient Data Feeds After Lillian Gassie e-Gov Knowledge Management Conference