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Taxonomy as Content Outline, Site Map and Search Aid SLA NWR Vancouver October 6, 2006. Marjorie M.K. Hlava President 505-998-0800 mhlava@accessinn.com. Use the Standards. ANSI / NISO – Z39.19 ISO TC 46 – SC 6 or 9 works BSI - BS 8723 W3C – OWL, Topic Maps, Semantic web

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taxonomy as content outline site map and search aid sla nwr vancouver october 6 2006

Taxonomy as Content Outline, Site Map and Search Aid SLA NWR VancouverOctober 6, 2006

Marjorie M.K. Hlava

President

505-998-0800

mhlava@accessinn.com

use the standards
Use the Standards
  • ANSI / NISO – Z39.19
  • ISO TC 46 – SC 6 or 9 works
  • BSI - BS 8723
  • W3C – OWL, Topic Maps, Semantic web
  • OMB – e-gov section 207
  • KM working groups
charting the difference
Authority Files

People

Places

Things

Thesaurus

Concepts

Methods

Processes

Ontology\'s

Link Instances

Classes

Semantic Web / Topic Maps

Link the description

To the actual item (object)

Charting the difference
taxonomy thesaurus
Taxonomy / thesaurus
  • Main Term (MT)
  • Top Term (TT)
  • Broader Terms (BT)
  • Narrower Terms (NT)
  • Narrower Term Instance
  • Related Terms (RT)
    • See also (SA)
  • NonPreferred Term (NP)
    • Used for (UF), See (S)
  • Scope Note (SN)
  • History (H)

TAXONOMY

ONTOLOGY

THESAURUS

slide5

Integrated tools for

content management

Database

system

Establish rules for

term use

Suggest indexing

terms

Search thesaurus

Validate term entry

Block invalid terms

Record candidates

Thesaurus

tool

Indexing

tool

Validate terms

Add terms and rules

Change terms and rules

Delete terms and rules

taxonomy descriptors become subject metadata
Taxonomy descriptors become subject metadata
  • Selected descriptors are XML-tagged and stored with document
  • Descriptors available as webpage metadata
  • Put in the HTML Header
  • Metatags enable precise document retrieval
  • Term equivalence enables query expansion in search (MAIQuery)
structure of the corpus
Structure of the Corpus
  • Specific domains
    • Easier than the whole internet
    • DLESE – Digital Library for Earth Science Education
  • Domain specific taxonomy
    • Specific branches
    • Dynamic classifications
user context and search task
User Context and Search Task
  • What about unique interfaces for different tasks?
  • Culture effects
  • Embedded search
  • Search history
  • Combine search and browse
  • Providing confidence in search
  • Help build the query
  • Predicting the users queries

User-Interface Design

our assumptions for enterprise taxonomy management
Our assumptions forEnterprise Taxonomy Management
  • Consistent application across entire site
  • Synonyms are used interchangeably
  • User doesn’t need to know the taxonomy
  • Pop up view is helpful
  • Site map for construction and browsing
  • Allows hidden sections for internal use
slide10

Thesaurus

Term Record

view

Taxonomy

view

slide11
s

NavTree View

MAIQuery

slide12

Thanks for your attention!

Marjorie M. K. HlavaPresident and ChairmanAccess Innovations, Inc.

www.DataHarmony.com - Software for high accuracy and productive content managementwww.accessinn.com - Data Base Services - database consulting and creation since 1978

www.NICEM.com - the National Information Center for Educational Media - +630,000 educationalnonprint titleswww.mediaslueth.com - for purchasing educational media from 1000\'s of titleswww.NewsIndexer.com - Automatic full text news and other data filtering and indexing+1- 505-998-0800 - voice+1-505-256-1080 - faxmhlava@accessinn.comP.O. Box 8640 - Albuquerque, NM  87198 - USA131 Adams NE Albuquerque, NM  87108

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