SlideShare ist ein Scribd-Unternehmen logo
1 von 54
The Myth of Topic Maps: What
Works and What Doesn’t?
Jay Ven Eman, Ph.D., CEO
Access Innovations, Inc. / Data Harmony
131 Adams NE, Albuquerque, NM 87108
j_ven_eman@accessinn.com
www.accessinn.com / www.dataharmony.com
505-265-3591 / 505-256-1080 - fax
                     Copyright © 2005 Access Innovations, Inc.   1
Innovations in search?


How about, “Innovations in
understanding?”



                             2
Semantic
                       Web?
 September 27, 2005
      “Is MLB a sport, entertainment, or business?”
    By     Smith
  About    Professional baseball
           Entertainment
           Business
Summary    In brief ...
   Story   There was a time ...
   Price   1.98
Price?

a 1.98?
a Price of what?
    • Newspaper?
    • Stadium seat?
    • Article?
    ?
a  $, , Ÿ, £?
a Wholesale? Retail? Sale?
a How?

                 Copyright © 2005 Access Innovations, Inc.   4
Meaning and retrieval start with a
knowledge organization system (KOS)

      Uncontrolled list                                      Not complex - $
      Name authority file
      Synonym set/ring
      Controlled vocabulary
      Taxonomy
      Thesaurus

  Ontology              Topic Map Highly complex - $$$$
       LOTS OF OVERLAP!
                  Copyright © 2005 Access Innovations, Inc.           5
Meta Data

a Data about data
a Information about information

a Natural

a Added


            Copyright © 2005 Access Innovations, Inc.   6
Data about ‘stuff’ - like what?

a   Author name
a   Date of creation
a   Language used in the creation
a   Title of the creation
a   Subject of the creation
a   Keywords...
                  Copyright © 2005 Access Innovations, Inc.   7
Narrowing the focus

a   Keywords (aka subject headings, index
    terms, identifiers, etc.) are one type of meta
    data.




                  Copyright © 2005 Access Innovations, Inc.   8
For example...

a   A bibliographic database record usually
    includes information such as author, title,
    language, date of creation, and subject area.
a   So does a traditional library card catalog




                  Copyright © 2005 Access Innovations, Inc.   9
But did you think about…

a   The legend on a street map?
a   The yellow pages in a telephone book?
a   The aisle signs in a supermarket?




                 Copyright © 2005 Access Innovations, Inc.   10
Meaning of meta data

a   Meta data is information
    that points to an answer
    or a solution
a   Meta data makes
    statements about an
    information resource or
    object




                   Copyright © 2005 Access Innovations, Inc.   11
Sidebar - meta data or metadata?

a   ‘Metadata’ is “a word coined by Jack E.
    Myers to represent current and future lines
    of products implementing the concepts of
    his MetaModel, and also to designate his
    company, The Metadata Company, that
    would develop and market those products.”



                 Copyright © 2005 Access Innovations, Inc.   12
Metadata™

a A term not used prior to 1969
a Used first in 1973
a Registered U.S. Trademark (in 1986),
  owned by Jack Myers
a Metadata™ granted incontestable status in
  1991
a Designed to be a term with no particular
  meaning
               Copyright © 2005 Access Innovations, Inc.   13
Natural                 Meta Data           Added

 <DOC Date=09/27/05>
 <TI> “Is MLB a sport, entertainment, or business?”</TI>

<Byline>   Smith   </Byline>
  <ST>     Professional baseball </ST>
  <ST>     Entertainment          </ST>

  <ST>     Business       </ST>

  <AB>     In brief ...             </AB>

  <Text>   There was a time ... /Text>
                              <             </DOC>
                                             Object
Meta data as indexing language

List of words        Synonyms              Taxonomy                       Thesaurus


                    INCREASING COMPLEXITY / RICHNESS



Ambiguity control                           Ambiguity control Ambiguity cont’l
                     Synonym control        Synonym control Synonym cont’l
                                            Hierarchical rel’s Hierarchical rel’s
                                                               Associative rel’s



                              Copyright © 2005 Access Innovations, Inc.          15
Taxonomy / thesaurus
a   Main Term (MT)                                   Aka subject term, heading, node,
                                                        category, descriptor, class
a   Top Term (TT)
a   Broader Terms (BT)                      TAXONOMY
a   Narrower Terms (NT)
a   Related Terms (RT)
    •   See also (SA)
                                                  THESAURUS
a   Scope Note (SN)
a   History (H)
a   NonPreferred Term (NP)
    •   Used for (UF), See (S)



                           Copyright © 2005 Access Innovations, Inc.       16
Term record



Various views
Taxonomy, Thesaurus, & Ontology

a   Taxonomies and thesauri are not ontologies
a   They are entities
a   Ontology – science of describing kinds of entities
    • “an explicit and formal specification of a
      conceptualization”




                      Copyright © 2005 Access Innovations, Inc.   19
Ontology

a   From philosophy – the science of describing
    • Kinds of entities in the world

    • How they are related




                     Copyright © 2005 Access Innovations, Inc.   20
OWL

a   Web Ontology Language

a   W3C Recommendation 10 February 2004
a   http://www.w3.org/TR/2004/Rec-owl-guide-20040210/

a   http://www.w3.org/TR/2004/Rec-owl-ref-20040210/

a   http://www.w3.org/TR/2004/Rec-webont-req-20040210/



                       Copyright © 2005 Access Innovations, Inc.   21
OWL

a OWL    output
 • Provides semantic meaning to these kinds of
   entities
 • Web resource
 • Accessible to automated processes


                  Copyright © 2005 Access Innovations, Inc.   22
OWL Ontology
a   May include
    • Classes
    • Properties
    • Instances
a   Capture semantics
a   Multiple, distributed, related ontology schema
a   Normative OWL exchange syntax                           RDF/XML
    • Resource Description Framework/Extensible Markup Language



                      Copyright © 2005 Access Innovations, Inc.       23
Structure of
       controlled vocabularies

List of words       Synonyms                Taxonomy                       Thesaurus


                    INCREASING COMPLEXITY / RICHNESS



Ambiguity control                            Ambiguity control Ambiguity cont’l
                     Synonym control         Synonym control Synonym cont’l
                                             Hierarchical rel’s Hierarchical rel’s
                                                                Associative rel’s



                               Copyright © 2005 Access Innovations, Inc.         24
Taxonomy term record




a   <TermInfo>
a   <T>Agrotechnology</T>
a   <BT>Biotechnology</BT>
a   <NT>Animal management technologies</NT>
a   <NT>Controlled environment agriculture</NT>
a   <NT>Genetically modified crops</NT>
a   </TermInfo>                Source: www.DataHarmony.com




                     Copyright © 2005 Access Innovations, Inc.   25
Thesaurus term record




a   <TermInfo>
a   <T>Agrotechnology</T>
a   <BT>Biotechnology</BT>
a   <NT>Animal management technologies</NT>
a   <NT>Controlled environment agriculture</NT>
a   <NT>Genetically modified crops</NT>
a   <RT>Agricultural science</RT>
a   <RT>Food technology</RT>
a   <UF>Plant engineering</UF>
a   <Scope></Scope>
a   <Editorial_Note></Editorial_Note>
a   <Facet></Facet>
a   <History></History>
                        Copyright © 2005 Access Innovations, Inc.   26
a   </TermInfo>                 Source: www.DataHarmony.com
OWL term record




</PreferredTerm>
<PreferredTerm rdf:ID="T131">
    <rdfs:label xml:lang="en">Agrotechnology</rdfs:label>
    <BroaderTerm rdf:resource="#T603" newsindexer:alpha="Biotechnology"/>
    <NarrowerTerm rdf:resource="#T252" newsindexer:alpha="Animal
           management technologies"/>
    <NarrowerTerm rdf:resource="#T1221" newsindexer:alpha="Controlled
           environment agriculture"/>
    <NarrowerTerm rdf:resource="#T2166" newsindexer:alpha="Genetically
           modified crops"/>
    <Related_Term rdf:resource="#T127" newsindexer:alpha="Agricultural
           science"/>
    <Related_Term rdf:resource="#T2020" newsindexer:alpha="Food technology"/>
    <Non-Preferred_Term rdf:resource="#T3898" newsindexer:alpha="Plant
           engineering"/>
</PreferredTerm>        Source: www.DataHarmony.com
                            Copyright © 2005 Access Innovations, Inc.    27
Statements about what?

Sports
                    Baseball

                                        Amateur baseball
                                        Little league
                                        Professional baseball

                                                              MLB

“Is MLB a sport,
entertainment, or
business?”        Copyright © 2005 Access Innovations, Inc.         28
Topic Maps

a   ISO standard - ISO 13250:2002
a   For merging back-of-the-book indexes
a   Collection of structured markup
a   Describing KOS
a   Associating KOS with information
    resources (objects)
a   Separation of KOS from objects
               Copyright © 2005 Access Innovations, Inc.   29
Topic Maps

a       Three main concepts
    •     Names of things
    •     Occurrences of the named things
    •     Associations between names
a       Three additional constructs
    •     Identity
    •     Facet
    •     Scope

                     Copyright © 2005 Access Innovations, Inc.   30
Topic map

Sports
             Baseball

                                   Amateur baseball
                                   Little league
                                   Professional baseball

                                                                MLB

“Is MLB a sport,
entertainment, or
business?”          Copyright © 2005 Access Innovations, Inc.         31
Topic with occurrence

  Professional baseball                                           descriptor-for


                           Topic map layer


                    Information resources layer

“Is MLB a sport,
entertainment, or                                 http://www.newindexer.com/mlb.htm/
business?”
                      Copyright © 2005 Access Innovations, Inc.                32
Topics, associations, occurrences

                                                           article
                                         MLB                                doctype
   Sports
                       use-for               http://www.newindexer.com/mlb.htm/
     member-of
                                                                     discriptor-for
      Professional baseball
                                                                            author-of
                                 related-to

                 member-of           Professional athletes
   Baseball
                                                 member-of
              Amateur baseball                                              Smith
member-of         Little league                       http://www.swaa.org

                        Copyright © 2005 Access Innovations, Inc.              33
Problems with Semantic Web

a   Complexity                        a     KOS biases
a   Lack of tools                     a     Lack of agreement
a   Lack of skills                    a     Lack of interest
a   Limited resources                 a     Good enough
a   Gaming the system                 a     Topic Maps vs. OWL
a   The syllogism trap



                  Copyright © 2005 Access Innovations, Inc.   34
Lack of agreement

a   “Symbionese Liberation Army credited with
    offing an SUV”
    • About - ‘revolutionaries’ or ‘freedom fighters’
    • About - ‘revolutions’ or ‘freedom movements’
a   “Symbionese Liberation Army accused of
    firebombing SUV”
    • About - ‘terrorists’ or ‘anarchists’
    • About - ‘terrorism’ or ‘anarchy’
      A


                    Copyright © 2005 Access Innovations, Inc.   35
The syllogism trap

a Humans are mortal
a Greeks are human
a Therefore, Greeks are mortal

a New Mexicans speak Spanish
a The author lives in New Mexico
a Therefore, ...
Source: Clay Shirky, “The Semantic Web, Syllogism, and Worldview”
www.shirky.com/writings/semantic_syllogism.html/ and
Dave McComb, presentation at DAMA-I, May 2005 www.wilshireconferences.com
                                  Copyright © 2005 Access Innovations, Inc.   36
Topic Maps vs. OWL

a   TMCL                          a     OWL
a   Topic maps                    a     RDF Schema
a   XTM, HyTM, LTM                a     RDF
a   ISO                           a     RDF/XML, N3
                                  a     SOAP, WSDL
                                  a     W3C



              Copyright © 2005 Access Innovations, Inc.   37
Next best thing(s)

a Full-text and applied indexing languages
a Social book-marking
a Make do




               Copyright © 2005 Access Innovations, Inc.   38
Social book-marking

a del.icio.us
a www.citeulike.org
a www.firststopwebsearch.com
a www.flickr.com
a www.furl.net
a www.jeteye.com
a www.zniff.com

             Copyright © 2005 Access Innovations, Inc.   39
(Courtesy: Jill O'Neill, www.nfais.org)
http://www.jeteye.com/jetpak/7963049,,8454213,1124839709963,,email,,view.html
Full-text search and applied
indexing languages

a Full-text search engines - getting better
a Thesauri applied using machine automated
  indexing - easier, faster, cheaper
a Taxonomic navigation
    • Faceted navigation
    • Table of contents drilldown - taxonomy views
a   Query disambiguation
                  Copyright © 2005 Access Innovations, Inc.   41
Full-text search and applied
indexing languages

a Long history
a Many richly developed thesauri with legs
a Tools that work
a Large body of professionals
a Almost as rich




               Copyright © 2005 Access Innovations, Inc.   42
Almost as rich
Hierarchical View




                     Term Record
ANSI/NISO Z39.19-200x




DRAFT STANDARD SUBJECT TO CHANGE
Organizational objectives

a   ASIS&T -- virtual library
    • Subject matter
a   ASRT -- internal information control
    • Organization chart
a   Naval Postgrad -- Homeland security degree
    • Curriculum outline
a   SLA -- Web content
    • Public Web navigation


                       Copyright © 2005 Access Innovations, Inc.   45
SLA website and thesaurus
SLA search
Naval Postgraduate School’s Homeland Security Taxonomy
Naval Postgraduate School’s Homeland Security Taxonomy
Tools that work!
Myth of topic maps

a Not a myth
a They do work
a Limited adoption
a Narrow, tightly defined niches




               Copyright © 2005 Access Innovations, Inc.   51
Thank you!
The Myth of Topic Maps: What
Works and What Doesn’t?
Jay Ven Eman, Ph.D., CEO
Access Innovations, Inc. / Data Harmony
131 Adams NE, Albuquerque, NM 87108
j_ven_eman@accessinn.com
www.accessinn.com / www.dataharmony.com
505-265-3591 / 505-256-1080 - fax
                     Copyright © 2005 Access Innovations, Inc.   52
Resources

a www.accessinn.com
a www.dataharmony.com
a www.iso.org
a www.ontopia.com
    • Lars Marius Garshol, “Metadata? Thesaurui?
      Taxonomies? Topic Maps!”
    • Steve Pepper, “The TAO of Topic Maps”
a   www.topicmaps.org
                 Copyright © 2005 Access Innovations, Inc.   53
Resources
a   Cory Doctorow, “Metacrap: Putting the Torch to Seven
    Straw-men of the Meta-utopia,” http://
    www.well.com/~doctorow/metacrap.htm
a   Russell Glass, “Is Anyone Going to Tag all of this Stuff?,”
    http://zoominfo.blogs.com/soughtafter/2005/03/semantic_web_is.html
a   Clay Shirky, “The Semantic Web, Syllogism, and
    Worldview,” www.shirky.com/writings/semantic_sllogism.html
a   Pete Norvig, “Semantic Web Ontologies: What Works and
    What Doesn’t,”
    www.alwayson-network.com/comments.php?id=P7480_0_3_0_C


                        Copyright © 2005 Access Innovations, Inc.   54

Weitere ähnliche Inhalte

Andere mochten auch

Inquiry Optimization Technique for a Topic Map Database
Inquiry Optimization Technique for a Topic Map DatabaseInquiry Optimization Technique for a Topic Map Database
Inquiry Optimization Technique for a Topic Map Databasetmra
 
Topic Maps - Human-oriented semantics?
Topic Maps - Human-oriented semantics?Topic Maps - Human-oriented semantics?
Topic Maps - Human-oriented semantics?Lars Marius Garshol
 
Topic map for Topic Maps case examples
Topic map for Topic Maps case examplesTopic map for Topic Maps case examples
Topic map for Topic Maps case examplestmra
 
Topic Maps Web Service: Case Examples and General Structure
Topic Maps Web Service: Case Examples and General StructureTopic Maps Web Service: Case Examples and General Structure
Topic Maps Web Service: Case Examples and General Structuretmra
 

Andere mochten auch (6)

Inquiry Optimization Technique for a Topic Map Database
Inquiry Optimization Technique for a Topic Map DatabaseInquiry Optimization Technique for a Topic Map Database
Inquiry Optimization Technique for a Topic Map Database
 
Semantic Search with Topic Maps
Semantic Search with Topic MapsSemantic Search with Topic Maps
Semantic Search with Topic Maps
 
Topic Maps - Human-oriented semantics?
Topic Maps - Human-oriented semantics?Topic Maps - Human-oriented semantics?
Topic Maps - Human-oriented semantics?
 
Topic map for Topic Maps case examples
Topic map for Topic Maps case examplesTopic map for Topic Maps case examples
Topic map for Topic Maps case examples
 
Topic Maps Web Service: Case Examples and General Structure
Topic Maps Web Service: Case Examples and General StructureTopic Maps Web Service: Case Examples and General Structure
Topic Maps Web Service: Case Examples and General Structure
 
Map reading
Map readingMap reading
Map reading
 

Ähnlich wie The Myth of Topic Maps

Taxonomies and Metadata in Information Architecture
Taxonomies and Metadata in Information ArchitectureTaxonomies and Metadata in Information Architecture
Taxonomies and Metadata in Information ArchitectureAccess Innovations, Inc.
 
Dealing the Cards
Dealing the CardsDealing the Cards
Dealing the CardsTSoholt
 
Taxonomy Development and Digital Projects
Taxonomy Development and Digital ProjectsTaxonomy Development and Digital Projects
Taxonomy Development and Digital Projects daniela barbosa
 
AI-SDV 2021: Jay ven Eman - implementation-of-new-technology-within-a-big-pha...
AI-SDV 2021: Jay ven Eman - implementation-of-new-technology-within-a-big-pha...AI-SDV 2021: Jay ven Eman - implementation-of-new-technology-within-a-big-pha...
AI-SDV 2021: Jay ven Eman - implementation-of-new-technology-within-a-big-pha...Dr. Haxel Consult
 
Implementing a Taxonomy in a Content Management Portal
Implementing a Taxonomy in a Content Management PortalImplementing a Taxonomy in a Content Management Portal
Implementing a Taxonomy in a Content Management PortalAccess Innovations, Inc.
 
Metadata for Terminology / KOS Resources
Metadata for Terminology / KOS ResourcesMetadata for Terminology / KOS Resources
Metadata for Terminology / KOS ResourcesMarcia Zeng
 
The Practical Vocabulary
The Practical VocabularyThe Practical Vocabulary
The Practical VocabularyLiftoph Inc
 
SharePoint Saturday New york City - The importance of metadata #spsnyc
SharePoint Saturday New york City - The importance of metadata #spsnycSharePoint Saturday New york City - The importance of metadata #spsnyc
SharePoint Saturday New york City - The importance of metadata #spsnycVincent Biret
 
Putting Controlled Vocabulary To Work I Davis 2008
Putting Controlled Vocabulary To Work I Davis 2008Putting Controlled Vocabulary To Work I Davis 2008
Putting Controlled Vocabulary To Work I Davis 2008Ian Davis
 
Introduction
IntroductionIntroduction
Introductionsriniefs
 
II-SDV 2012 Text Mining, Term Mining and Visualization - Improving the Impac...
II-SDV 2012 Text Mining, Term Mining and Visualization  - Improving the Impac...II-SDV 2012 Text Mining, Term Mining and Visualization  - Improving the Impac...
II-SDV 2012 Text Mining, Term Mining and Visualization - Improving the Impac...Dr. Haxel Consult
 
Using KOS as a Basis for Text Analytics and Trend Forecasting
Using KOS as a Basis for Text Analytics and Trend ForecastingUsing KOS as a Basis for Text Analytics and Trend Forecasting
Using KOS as a Basis for Text Analytics and Trend ForecastingTSoholt
 
Why Are Taxonomies Necessary?
Why Are Taxonomies Necessary?Why Are Taxonomies Necessary?
Why Are Taxonomies Necessary?Fred Leise
 
In other words...: Using multiple taxonimies
In other words...: Using multiple taxonimiesIn other words...: Using multiple taxonimies
In other words...: Using multiple taxonimieskramsey
 
Content analysis 2.0
Content analysis 2.0Content analysis 2.0
Content analysis 2.0Murray Dick
 
Business Research Methods. search strategies for online databases
Business Research Methods. search strategies for online databasesBusiness Research Methods. search strategies for online databases
Business Research Methods. search strategies for online databasesAhsan Khan Eco (Superior College)
 

Ähnlich wie The Myth of Topic Maps (20)

Taxonomies and Metadata in Information Architecture
Taxonomies and Metadata in Information ArchitectureTaxonomies and Metadata in Information Architecture
Taxonomies and Metadata in Information Architecture
 
Dealing the Cards
Dealing the CardsDealing the Cards
Dealing the Cards
 
Taxonomy Development and Digital Projects
Taxonomy Development and Digital ProjectsTaxonomy Development and Digital Projects
Taxonomy Development and Digital Projects
 
Taxonomy Fundamentals Workshop 2013
Taxonomy Fundamentals Workshop 2013Taxonomy Fundamentals Workshop 2013
Taxonomy Fundamentals Workshop 2013
 
AI-SDV 2021: Jay ven Eman - implementation-of-new-technology-within-a-big-pha...
AI-SDV 2021: Jay ven Eman - implementation-of-new-technology-within-a-big-pha...AI-SDV 2021: Jay ven Eman - implementation-of-new-technology-within-a-big-pha...
AI-SDV 2021: Jay ven Eman - implementation-of-new-technology-within-a-big-pha...
 
Taxonomy Fundamentals - SLA 2014
Taxonomy Fundamentals - SLA 2014Taxonomy Fundamentals - SLA 2014
Taxonomy Fundamentals - SLA 2014
 
Implementing a Taxonomy in a Content Management Portal
Implementing a Taxonomy in a Content Management PortalImplementing a Taxonomy in a Content Management Portal
Implementing a Taxonomy in a Content Management Portal
 
Metadata for Terminology / KOS Resources
Metadata for Terminology / KOS ResourcesMetadata for Terminology / KOS Resources
Metadata for Terminology / KOS Resources
 
The Practical Vocabulary
The Practical VocabularyThe Practical Vocabulary
The Practical Vocabulary
 
SharePoint Saturday New york City - The importance of metadata #spsnyc
SharePoint Saturday New york City - The importance of metadata #spsnycSharePoint Saturday New york City - The importance of metadata #spsnyc
SharePoint Saturday New york City - The importance of metadata #spsnyc
 
Putting Controlled Vocabulary To Work I Davis 2008
Putting Controlled Vocabulary To Work I Davis 2008Putting Controlled Vocabulary To Work I Davis 2008
Putting Controlled Vocabulary To Work I Davis 2008
 
Taxonomy made easy
Taxonomy made easyTaxonomy made easy
Taxonomy made easy
 
Introduction
IntroductionIntroduction
Introduction
 
Hlava, Davis, Corson-Rikert, and Parr "Control Your Vocabulary: Real-World A...
Hlava, Davis, Corson-Rikert, and Parr "Control Your Vocabulary:  Real-World A...Hlava, Davis, Corson-Rikert, and Parr "Control Your Vocabulary:  Real-World A...
Hlava, Davis, Corson-Rikert, and Parr "Control Your Vocabulary: Real-World A...
 
II-SDV 2012 Text Mining, Term Mining and Visualization - Improving the Impac...
II-SDV 2012 Text Mining, Term Mining and Visualization  - Improving the Impac...II-SDV 2012 Text Mining, Term Mining and Visualization  - Improving the Impac...
II-SDV 2012 Text Mining, Term Mining and Visualization - Improving the Impac...
 
Using KOS as a Basis for Text Analytics and Trend Forecasting
Using KOS as a Basis for Text Analytics and Trend ForecastingUsing KOS as a Basis for Text Analytics and Trend Forecasting
Using KOS as a Basis for Text Analytics and Trend Forecasting
 
Why Are Taxonomies Necessary?
Why Are Taxonomies Necessary?Why Are Taxonomies Necessary?
Why Are Taxonomies Necessary?
 
In other words...: Using multiple taxonimies
In other words...: Using multiple taxonimiesIn other words...: Using multiple taxonimies
In other words...: Using multiple taxonimies
 
Content analysis 2.0
Content analysis 2.0Content analysis 2.0
Content analysis 2.0
 
Business Research Methods. search strategies for online databases
Business Research Methods. search strategies for online databasesBusiness Research Methods. search strategies for online databases
Business Research Methods. search strategies for online databases
 

Mehr von Access Innovations, Inc.

Making AI Behave: Using Knowledge Domains to Produce Useful, Trustworthy Results
Making AI Behave: Using Knowledge Domains to Produce Useful, Trustworthy ResultsMaking AI Behave: Using Knowledge Domains to Produce Useful, Trustworthy Results
Making AI Behave: Using Knowledge Domains to Produce Useful, Trustworthy ResultsAccess Innovations, Inc.
 
ISO 25964-1Working Group ISO/TC 46/SC 9/WG 8
ISO 25964-1Working Group ISO/TC 46/SC 9/WG 8ISO 25964-1Working Group ISO/TC 46/SC 9/WG 8
ISO 25964-1Working Group ISO/TC 46/SC 9/WG 8Access Innovations, Inc.
 
Hindawi taxonomy and personalization 27.10 (1)
Hindawi taxonomy and personalization 27.10 (1)Hindawi taxonomy and personalization 27.10 (1)
Hindawi taxonomy and personalization 27.10 (1)Access Innovations, Inc.
 
Asco using ai-taxos-for meta-titles-february-2021
Asco using ai-taxos-for meta-titles-february-2021Asco using ai-taxos-for meta-titles-february-2021
Asco using ai-taxos-for meta-titles-february-2021Access Innovations, Inc.
 
Ai webinar 2 -what's in a name (consolidated pdf)
Ai webinar 2 -what's in a name (consolidated pdf)Ai webinar 2 -what's in a name (consolidated pdf)
Ai webinar 2 -what's in a name (consolidated pdf)Access Innovations, Inc.
 
Tagging overview - Why Keywords Don't Cut It
Tagging overview  - Why Keywords Don't Cut ItTagging overview  - Why Keywords Don't Cut It
Tagging overview - Why Keywords Don't Cut ItAccess Innovations, Inc.
 
DHUG 2018: Towards Web-Centric Repository Interoperability
DHUG 2018: Towards Web-Centric Repository InteroperabilityDHUG 2018: Towards Web-Centric Repository Interoperability
DHUG 2018: Towards Web-Centric Repository InteroperabilityAccess Innovations, Inc.
 
DHUG 2017 - Understanding ROI Just Enough to Get Your Project Funded
DHUG 2017 - Understanding ROI Just Enough to Get Your Project FundedDHUG 2017 - Understanding ROI Just Enough to Get Your Project Funded
DHUG 2017 - Understanding ROI Just Enough to Get Your Project FundedAccess Innovations, Inc.
 

Mehr von Access Innovations, Inc. (20)

Making AI Behave: Using Knowledge Domains to Produce Useful, Trustworthy Results
Making AI Behave: Using Knowledge Domains to Produce Useful, Trustworthy ResultsMaking AI Behave: Using Knowledge Domains to Produce Useful, Trustworthy Results
Making AI Behave: Using Knowledge Domains to Produce Useful, Trustworthy Results
 
ISO 25964-1Working Group ISO/TC 46/SC 9/WG 8
ISO 25964-1Working Group ISO/TC 46/SC 9/WG 8ISO 25964-1Working Group ISO/TC 46/SC 9/WG 8
ISO 25964-1Working Group ISO/TC 46/SC 9/WG 8
 
Smart submit
Smart submitSmart submit
Smart submit
 
Plos taxonomy beyond search dhug 2021
Plos taxonomy beyond search   dhug 2021Plos taxonomy beyond search   dhug 2021
Plos taxonomy beyond search dhug 2021
 
Hindawi taxonomy and personalization 27.10 (1)
Hindawi taxonomy and personalization 27.10 (1)Hindawi taxonomy and personalization 27.10 (1)
Hindawi taxonomy and personalization 27.10 (1)
 
Data harmonycloudpowerpointclientfacing
Data harmonycloudpowerpointclientfacingData harmonycloudpowerpointclientfacing
Data harmonycloudpowerpointclientfacing
 
Data harmony update 2021
Data harmony update 2021 Data harmony update 2021
Data harmony update 2021
 
Atypon dhug2021
Atypon dhug2021Atypon dhug2021
Atypon dhug2021
 
Asco using ai-taxos-for meta-titles-february-2021
Asco using ai-taxos-for meta-titles-february-2021Asco using ai-taxos-for meta-titles-february-2021
Asco using ai-taxos-for meta-titles-february-2021
 
Asce more than just topic taxonomies
Asce more than just topic taxonomiesAsce more than just topic taxonomies
Asce more than just topic taxonomies
 
Acs discoverability-dhug2021
Acs discoverability-dhug2021Acs discoverability-dhug2021
Acs discoverability-dhug2021
 
Ai webinar 2 -what's in a name (consolidated pdf)
Ai webinar 2 -what's in a name (consolidated pdf)Ai webinar 2 -what's in a name (consolidated pdf)
Ai webinar 2 -what's in a name (consolidated pdf)
 
Tagging overview - Why Keywords Don't Cut It
Tagging overview  - Why Keywords Don't Cut ItTagging overview  - Why Keywords Don't Cut It
Tagging overview - Why Keywords Don't Cut It
 
Health Affairs - Why Keywords Don't Cut It
Health Affairs - Why Keywords Don't Cut ItHealth Affairs - Why Keywords Don't Cut It
Health Affairs - Why Keywords Don't Cut It
 
Why Keywords Don't Cut It
Why Keywords Don't Cut ItWhy Keywords Don't Cut It
Why Keywords Don't Cut It
 
Data Harmony update 2020 final
Data Harmony update 2020 finalData Harmony update 2020 final
Data Harmony update 2020 final
 
Data Harmony Update 2020 final
Data Harmony Update 2020 finalData Harmony Update 2020 final
Data Harmony Update 2020 final
 
DHUG 2018: Towards Web-Centric Repository Interoperability
DHUG 2018: Towards Web-Centric Repository InteroperabilityDHUG 2018: Towards Web-Centric Repository Interoperability
DHUG 2018: Towards Web-Centric Repository Interoperability
 
DHUG 2018 - Florida Thesis OCR
DHUG 2018 - Florida Thesis OCRDHUG 2018 - Florida Thesis OCR
DHUG 2018 - Florida Thesis OCR
 
DHUG 2017 - Understanding ROI Just Enough to Get Your Project Funded
DHUG 2017 - Understanding ROI Just Enough to Get Your Project FundedDHUG 2017 - Understanding ROI Just Enough to Get Your Project Funded
DHUG 2017 - Understanding ROI Just Enough to Get Your Project Funded
 

Kürzlich hochgeladen

1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdfQucHHunhnh
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfJayanti Pande
 
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...fonyou31
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Sapana Sha
 
9548086042 for call girls in Indira Nagar with room service
9548086042  for call girls in Indira Nagar  with room service9548086042  for call girls in Indira Nagar  with room service
9548086042 for call girls in Indira Nagar with room servicediscovermytutordmt
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...christianmathematics
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfAyushMahapatra5
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhikauryashika82
 
General AI for Medical Educators April 2024
General AI for Medical Educators April 2024General AI for Medical Educators April 2024
General AI for Medical Educators April 2024Janet Corral
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxVishalSingh1417
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDThiyagu K
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationnomboosow
 
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...PsychoTech Services
 
social pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajansocial pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajanpragatimahajan3
 

Kürzlich hochgeladen (20)

1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdf
 
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
 
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
 
9548086042 for call girls in Indira Nagar with room service
9548086042  for call girls in Indira Nagar  with room service9548086042  for call girls in Indira Nagar  with room service
9548086042 for call girls in Indira Nagar with room service
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdf
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 
General AI for Medical Educators April 2024
General AI for Medical Educators April 2024General AI for Medical Educators April 2024
General AI for Medical Educators April 2024
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptx
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communication
 
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
 
social pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajansocial pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajan
 

The Myth of Topic Maps

  • 1. The Myth of Topic Maps: What Works and What Doesn’t? Jay Ven Eman, Ph.D., CEO Access Innovations, Inc. / Data Harmony 131 Adams NE, Albuquerque, NM 87108 j_ven_eman@accessinn.com www.accessinn.com / www.dataharmony.com 505-265-3591 / 505-256-1080 - fax Copyright © 2005 Access Innovations, Inc. 1
  • 2. Innovations in search? How about, “Innovations in understanding?” 2
  • 3. Semantic Web? September 27, 2005 “Is MLB a sport, entertainment, or business?” By Smith About Professional baseball Entertainment Business Summary In brief ... Story There was a time ... Price 1.98
  • 4. Price? a 1.98? a Price of what? • Newspaper? • Stadium seat? • Article? ? a $, , Ÿ, £? a Wholesale? Retail? Sale? a How? Copyright © 2005 Access Innovations, Inc. 4
  • 5. Meaning and retrieval start with a knowledge organization system (KOS)  Uncontrolled list Not complex - $  Name authority file  Synonym set/ring  Controlled vocabulary  Taxonomy  Thesaurus Ontology Topic Map Highly complex - $$$$ LOTS OF OVERLAP! Copyright © 2005 Access Innovations, Inc. 5
  • 6. Meta Data a Data about data a Information about information a Natural a Added Copyright © 2005 Access Innovations, Inc. 6
  • 7. Data about ‘stuff’ - like what? a Author name a Date of creation a Language used in the creation a Title of the creation a Subject of the creation a Keywords... Copyright © 2005 Access Innovations, Inc. 7
  • 8. Narrowing the focus a Keywords (aka subject headings, index terms, identifiers, etc.) are one type of meta data. Copyright © 2005 Access Innovations, Inc. 8
  • 9. For example... a A bibliographic database record usually includes information such as author, title, language, date of creation, and subject area. a So does a traditional library card catalog Copyright © 2005 Access Innovations, Inc. 9
  • 10. But did you think about… a The legend on a street map? a The yellow pages in a telephone book? a The aisle signs in a supermarket? Copyright © 2005 Access Innovations, Inc. 10
  • 11. Meaning of meta data a Meta data is information that points to an answer or a solution a Meta data makes statements about an information resource or object Copyright © 2005 Access Innovations, Inc. 11
  • 12. Sidebar - meta data or metadata? a ‘Metadata’ is “a word coined by Jack E. Myers to represent current and future lines of products implementing the concepts of his MetaModel, and also to designate his company, The Metadata Company, that would develop and market those products.” Copyright © 2005 Access Innovations, Inc. 12
  • 13. Metadata™ a A term not used prior to 1969 a Used first in 1973 a Registered U.S. Trademark (in 1986), owned by Jack Myers a Metadata™ granted incontestable status in 1991 a Designed to be a term with no particular meaning Copyright © 2005 Access Innovations, Inc. 13
  • 14. Natural Meta Data Added <DOC Date=09/27/05> <TI> “Is MLB a sport, entertainment, or business?”</TI> <Byline> Smith </Byline> <ST> Professional baseball </ST> <ST> Entertainment </ST> <ST> Business </ST> <AB> In brief ... </AB> <Text> There was a time ... /Text> < </DOC> Object
  • 15. Meta data as indexing language List of words Synonyms Taxonomy Thesaurus INCREASING COMPLEXITY / RICHNESS Ambiguity control Ambiguity control Ambiguity cont’l Synonym control Synonym control Synonym cont’l Hierarchical rel’s Hierarchical rel’s Associative rel’s Copyright © 2005 Access Innovations, Inc. 15
  • 16. Taxonomy / thesaurus a Main Term (MT) Aka subject term, heading, node, category, descriptor, class a Top Term (TT) a Broader Terms (BT) TAXONOMY a Narrower Terms (NT) a Related Terms (RT) • See also (SA) THESAURUS a Scope Note (SN) a History (H) a NonPreferred Term (NP) • Used for (UF), See (S) Copyright © 2005 Access Innovations, Inc. 16
  • 18.
  • 19. Taxonomy, Thesaurus, & Ontology a Taxonomies and thesauri are not ontologies a They are entities a Ontology – science of describing kinds of entities • “an explicit and formal specification of a conceptualization” Copyright © 2005 Access Innovations, Inc. 19
  • 20. Ontology a From philosophy – the science of describing • Kinds of entities in the world • How they are related Copyright © 2005 Access Innovations, Inc. 20
  • 21. OWL a Web Ontology Language a W3C Recommendation 10 February 2004 a http://www.w3.org/TR/2004/Rec-owl-guide-20040210/ a http://www.w3.org/TR/2004/Rec-owl-ref-20040210/ a http://www.w3.org/TR/2004/Rec-webont-req-20040210/ Copyright © 2005 Access Innovations, Inc. 21
  • 22. OWL a OWL output • Provides semantic meaning to these kinds of entities • Web resource • Accessible to automated processes Copyright © 2005 Access Innovations, Inc. 22
  • 23. OWL Ontology a May include • Classes • Properties • Instances a Capture semantics a Multiple, distributed, related ontology schema a Normative OWL exchange syntax RDF/XML • Resource Description Framework/Extensible Markup Language Copyright © 2005 Access Innovations, Inc. 23
  • 24. Structure of controlled vocabularies List of words Synonyms Taxonomy Thesaurus INCREASING COMPLEXITY / RICHNESS Ambiguity control Ambiguity control Ambiguity cont’l Synonym control Synonym control Synonym cont’l Hierarchical rel’s Hierarchical rel’s Associative rel’s Copyright © 2005 Access Innovations, Inc. 24
  • 25. Taxonomy term record a <TermInfo> a <T>Agrotechnology</T> a <BT>Biotechnology</BT> a <NT>Animal management technologies</NT> a <NT>Controlled environment agriculture</NT> a <NT>Genetically modified crops</NT> a </TermInfo> Source: www.DataHarmony.com Copyright © 2005 Access Innovations, Inc. 25
  • 26. Thesaurus term record a <TermInfo> a <T>Agrotechnology</T> a <BT>Biotechnology</BT> a <NT>Animal management technologies</NT> a <NT>Controlled environment agriculture</NT> a <NT>Genetically modified crops</NT> a <RT>Agricultural science</RT> a <RT>Food technology</RT> a <UF>Plant engineering</UF> a <Scope></Scope> a <Editorial_Note></Editorial_Note> a <Facet></Facet> a <History></History> Copyright © 2005 Access Innovations, Inc. 26 a </TermInfo> Source: www.DataHarmony.com
  • 27. OWL term record </PreferredTerm> <PreferredTerm rdf:ID="T131"> <rdfs:label xml:lang="en">Agrotechnology</rdfs:label> <BroaderTerm rdf:resource="#T603" newsindexer:alpha="Biotechnology"/> <NarrowerTerm rdf:resource="#T252" newsindexer:alpha="Animal management technologies"/> <NarrowerTerm rdf:resource="#T1221" newsindexer:alpha="Controlled environment agriculture"/> <NarrowerTerm rdf:resource="#T2166" newsindexer:alpha="Genetically modified crops"/> <Related_Term rdf:resource="#T127" newsindexer:alpha="Agricultural science"/> <Related_Term rdf:resource="#T2020" newsindexer:alpha="Food technology"/> <Non-Preferred_Term rdf:resource="#T3898" newsindexer:alpha="Plant engineering"/> </PreferredTerm> Source: www.DataHarmony.com Copyright © 2005 Access Innovations, Inc. 27
  • 28. Statements about what? Sports Baseball Amateur baseball Little league Professional baseball MLB “Is MLB a sport, entertainment, or business?” Copyright © 2005 Access Innovations, Inc. 28
  • 29. Topic Maps a ISO standard - ISO 13250:2002 a For merging back-of-the-book indexes a Collection of structured markup a Describing KOS a Associating KOS with information resources (objects) a Separation of KOS from objects Copyright © 2005 Access Innovations, Inc. 29
  • 30. Topic Maps a Three main concepts • Names of things • Occurrences of the named things • Associations between names a Three additional constructs • Identity • Facet • Scope Copyright © 2005 Access Innovations, Inc. 30
  • 31. Topic map Sports Baseball Amateur baseball Little league Professional baseball MLB “Is MLB a sport, entertainment, or business?” Copyright © 2005 Access Innovations, Inc. 31
  • 32. Topic with occurrence Professional baseball descriptor-for Topic map layer Information resources layer “Is MLB a sport, entertainment, or http://www.newindexer.com/mlb.htm/ business?” Copyright © 2005 Access Innovations, Inc. 32
  • 33. Topics, associations, occurrences article MLB doctype Sports use-for http://www.newindexer.com/mlb.htm/ member-of discriptor-for Professional baseball author-of related-to member-of Professional athletes Baseball member-of Amateur baseball Smith member-of Little league http://www.swaa.org Copyright © 2005 Access Innovations, Inc. 33
  • 34. Problems with Semantic Web a Complexity a KOS biases a Lack of tools a Lack of agreement a Lack of skills a Lack of interest a Limited resources a Good enough a Gaming the system a Topic Maps vs. OWL a The syllogism trap Copyright © 2005 Access Innovations, Inc. 34
  • 35. Lack of agreement a “Symbionese Liberation Army credited with offing an SUV” • About - ‘revolutionaries’ or ‘freedom fighters’ • About - ‘revolutions’ or ‘freedom movements’ a “Symbionese Liberation Army accused of firebombing SUV” • About - ‘terrorists’ or ‘anarchists’ • About - ‘terrorism’ or ‘anarchy’ A Copyright © 2005 Access Innovations, Inc. 35
  • 36. The syllogism trap a Humans are mortal a Greeks are human a Therefore, Greeks are mortal a New Mexicans speak Spanish a The author lives in New Mexico a Therefore, ... Source: Clay Shirky, “The Semantic Web, Syllogism, and Worldview” www.shirky.com/writings/semantic_syllogism.html/ and Dave McComb, presentation at DAMA-I, May 2005 www.wilshireconferences.com Copyright © 2005 Access Innovations, Inc. 36
  • 37. Topic Maps vs. OWL a TMCL a OWL a Topic maps a RDF Schema a XTM, HyTM, LTM a RDF a ISO a RDF/XML, N3 a SOAP, WSDL a W3C Copyright © 2005 Access Innovations, Inc. 37
  • 38. Next best thing(s) a Full-text and applied indexing languages a Social book-marking a Make do Copyright © 2005 Access Innovations, Inc. 38
  • 39. Social book-marking a del.icio.us a www.citeulike.org a www.firststopwebsearch.com a www.flickr.com a www.furl.net a www.jeteye.com a www.zniff.com Copyright © 2005 Access Innovations, Inc. 39
  • 40. (Courtesy: Jill O'Neill, www.nfais.org) http://www.jeteye.com/jetpak/7963049,,8454213,1124839709963,,email,,view.html
  • 41. Full-text search and applied indexing languages a Full-text search engines - getting better a Thesauri applied using machine automated indexing - easier, faster, cheaper a Taxonomic navigation • Faceted navigation • Table of contents drilldown - taxonomy views a Query disambiguation Copyright © 2005 Access Innovations, Inc. 41
  • 42. Full-text search and applied indexing languages a Long history a Many richly developed thesauri with legs a Tools that work a Large body of professionals a Almost as rich Copyright © 2005 Access Innovations, Inc. 42
  • 43. Almost as rich Hierarchical View Term Record
  • 45. Organizational objectives a ASIS&T -- virtual library • Subject matter a ASRT -- internal information control • Organization chart a Naval Postgrad -- Homeland security degree • Curriculum outline a SLA -- Web content • Public Web navigation Copyright © 2005 Access Innovations, Inc. 45
  • 46. SLA website and thesaurus
  • 48. Naval Postgraduate School’s Homeland Security Taxonomy
  • 49. Naval Postgraduate School’s Homeland Security Taxonomy
  • 51. Myth of topic maps a Not a myth a They do work a Limited adoption a Narrow, tightly defined niches Copyright © 2005 Access Innovations, Inc. 51
  • 52. Thank you! The Myth of Topic Maps: What Works and What Doesn’t? Jay Ven Eman, Ph.D., CEO Access Innovations, Inc. / Data Harmony 131 Adams NE, Albuquerque, NM 87108 j_ven_eman@accessinn.com www.accessinn.com / www.dataharmony.com 505-265-3591 / 505-256-1080 - fax Copyright © 2005 Access Innovations, Inc. 52
  • 53. Resources a www.accessinn.com a www.dataharmony.com a www.iso.org a www.ontopia.com • Lars Marius Garshol, “Metadata? Thesaurui? Taxonomies? Topic Maps!” • Steve Pepper, “The TAO of Topic Maps” a www.topicmaps.org Copyright © 2005 Access Innovations, Inc. 53
  • 54. Resources a Cory Doctorow, “Metacrap: Putting the Torch to Seven Straw-men of the Meta-utopia,” http:// www.well.com/~doctorow/metacrap.htm a Russell Glass, “Is Anyone Going to Tag all of this Stuff?,” http://zoominfo.blogs.com/soughtafter/2005/03/semantic_web_is.html a Clay Shirky, “The Semantic Web, Syllogism, and Worldview,” www.shirky.com/writings/semantic_sllogism.html a Pete Norvig, “Semantic Web Ontologies: What Works and What Doesn’t,” www.alwayson-network.com/comments.php?id=P7480_0_3_0_C Copyright © 2005 Access Innovations, Inc. 54