1	Leveraging Your Taxonomy to Increase User Productivity MAIQuery and TM Navtree
2	Taxonomies aid site organization Taxonomy provides: Framework for content organization Hierarchical outline of your content by subject categories Basis for effective browsing
3	Integrated taxonomy enhances findability Browsable categories of a directory Smart search for term equivalents Taxonomy terms (original or modified) as labels Navigation aids incorporate taxonomy terms and relationships
4	Example Search: body growth Complete database (60,000 + titles) Free text search 8 hits — some irrelevant Free text search on titles 6 hits — limited recall Search by taxonomy descriptor (AKA subject term or category) 470 hits 100% relevant 100% recall
5	Increasing User Productivity Items in an information collection can be retrieved with better precision (relevance) and better recall by using a controlled vocabulary to assign subject terms (key words) to them
6	Connecting Users Use the rulebase you’ve developed for machine aided indexing (MAIQuery) Use the controlled vocabulary itself (TM Navtree)
7	MAI’s talents MAI (Machine Aided Indexer) helps authors and editors assign effective subject terms automates the assignment of subject terms to items in legacy collections
8	Taxonomy terms on documents help sort and organize the content M.A.I. suggests the correct terms from the taxonomy as descriptors M.A.I. rulebase recognizes term equivalents germs à Microorganisms vaccin* à Pharmaceutical drugs
9	MAI’s “hidden talents” MAI can also: Provide for the appropriate preferred term when given a word or phrase Return preferred terms for uses of the word in different contexts
10	More “hidden talents” MAIQuery can: Show related terms from the thesaurus to broaden a search Show the rules and preferred term’s scope notes to clarify how the preferred term relates to others in the thesaurus
11	Presenting: MAIQuery™ Web page presents a search box that will use the MAI rulebase Can be in addition to full text search and advanced search User enters a word or phrase in the search box MAI searches the rulebase for any occurrences of the word(s)
12	MAIQuery
13	the MAIQuery demo Uses web pages and php coding: Passes the search words to “dosearch.php” dosearch.php passes the term to MAI’s concept extractor MAI returns a list of suggested terms from the controlled vocabulary
14	Suggested terms
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16	Your Thesaurus as Directory Present your controlled vocabulary as a guide to your collection
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18	Thesauri OnLine Australian Governments' Interactive Functions Thesaurus – AGIFT http://www.naa.gov.au/recordkeeping/thesaurus/000482.htm Transportation Research Thesaurus – TRT http://ntl.bts.gov/trt/trt_topterms.jsp NBII (National Biological Information Infrastructure) http://thesaurus.nbii.gov/SearchNBIIThesaurus/about.faces
19	Presenting: TM Navtree Your thesaurus presented as a navigation aid User “drill down” with all the neighboring terms visible Each term indicates the number of documents indexed with it Terms are hyperlinks to a list of items
20	A hierarchical tree
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22	Choose a term Click on a term, get the titles indexed with it
23	Choose a title Click on a title, get its details (or bring up the item)
24	How it’s done We used PHP Levels, an open source application from SourceForge to create the tree An exported XML version of the thesaurus is parsed to produce the required text file to populate the tree The content manager is queried for the document totals
25	How it’s done, continued When a term is selected, it is passed to a gettitles.php A bit of php code connects to the content manager and returns a string of data about each title The web page displays the data in the format desired
26	The advantages TM Navtree Top Terms describe the organization of your collection(s) Narrower terms help your user hone in on the most appropriate term Adjacent terms impart connotation
27	The advantages ALL the records indexed with the chosen term are returned Your user finds what’s needed more quickly and is more productive
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29	MAI Query and NavTree from Data Harmony