1. Sexier , faster , better information architecture through Topic Maps Saturday 30 th September, Alexander Johannesen DISCLAIMER : I love Topic Maps, and I get passionate about what I love. I think Topic Maps by itself will create peace on earth, solve world hunger and the energy crisis, so don’t expect me to dabble too much in the details.  Ask questions. Many of them.

2. “ Freedom without limits is just a word .”

4. What do you know?

21. Everything is a card sort

37. Data Modelling

42. The basic problem with most data models are that they are …

43. … all different The basic problem with most data models are that they are …

44. … all different, requires special knowledge about the model The basic problem with most data models are that they are …

45. … all different, requires special knowledge about the model, often locked into the environment The basic problem with most data models are that they are …

46. … all different, requires special knowledge about the model, often locked into the environment, vary in complexity and can be a bugger to understand and comprehend The basic problem with most data models are that they are …

47. … all different, requires special knowledge about the model, often locked into the environment, vary in complexity and can be a bugger to understand and comprehend, requires all new Knowledge every time a data model is created The basic problem with most data models are that they are …

48. … all different, requires special knowledge about the model, often locked into the environment, vary in complexity and can be a bugger to understand and comprehend, requires all new Knowledge every time a data model is created, gives a specific Interpretation of requirements … The basic problem with most data models are that they are …

49. … all different, requires special knowledge about the model, often locked into the environment, vary in complexity and can be a bugger to understand and comprehend, requires all new Knowledge every time a data model is created, gives a specific Interpretation of requirements … which suggests especially one thing

51. Wait for it …

52. Topic Maps

53. An open ISO * standard from 2000/2001/2005/2006 * International Standards Organisation

57. Topics or concepts or subjects

59. point

60. concept

61. node

62. tag

63. page

64. topic The topic Topics

65. topics

66. <topic id=“346534” />

67. “ NLA” “ Alex” “ Topic Maps” “ IA” <topic id=“nla”> <name>NLA</name> </topic>

68. “ NLA” (institution:library) “ Alex” (being:person) “ Topic Maps” (concept) “ IA” (practice:information-structuring) <topic id=“nla” type=“library”> <name>NLA</name> </topic>

69. “ NLA” (institution:library) (library:reference) (library:academic) “ Alex” (being:person) (homo-sapien-sapiens) (profession:IT:development) “ Topic Maps” (concept) (standards:iso:tm_1.1) (info-science:knowledge-representation) “ IA” (practice:information-structuring) (concept:interface:HCI) (info-science:structuring)

70. <topic id=“nla” type=“library”> <name>NLA</name> </topic> “ NLA” (institution:library) “ Alex” (being:person) “ Topic Maps” (concept) “ IA” (practice:information-structuring)

71. “ Library” <topic id=“nla” type=“library”> <name>NLA</name> </topic> <topic id=“ont-l23”> <name>Library</name> </topic> “ NLA” (institution:library) “ Alex” (being:person) “ Topic Maps” (concept) “ IA” (practice:information-structuring)

72. “ Library” <topic id=“nla” type=“library”> <name>NLA</name> </topic> <topic id=“ont-l23”> <name>Library</name> </topic> “ NLA” (institution:library) “ Alex” (being:person) “ Topic Maps” (concept) “ IA” (practice:information-structuring)

73. Associations And constraints

74. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) <association> <member id=“alex” /> <member id=“nla” /> </association> “ IA” (practice:information-structuring)

75. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) Works for Employs <association> <member id=“alex” roletype=“works-for” /> <member id=“nla” roletype=“employs” /> </association> “ IA” (practice:information-structuring)

76. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) Works for Employs Employment <association type=“employment”> <member id=“alex” roletype=“works-for” /> <member id=“nla” roletype=“employs” /> </association> “ IA” (practice:information-structuring)

77. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) “ Donald” (person) “ Daisy” (person) “ Goofy” (person) Associations : many to many “ IA” (practice:information-structuring)

78. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) Works for Employs Employment “ IA” (practice:information-structuring)

79. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) Interesting Interested Interest “ IA” (practice:information-structuring)

80. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) Practicioned Practice Practician “ IA” (practice:information-structuring)

81. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) Practice Technology Associations : Applied knowledge Applied knowledge “ IA” (practice:information-structuring)

82. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) Applied knowledge Giver Associations : Applied knowledge “ IA” (practice:information-structuring) Practice Technology

83. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) Applied knowledge Giver Target Associations : Applied knowledge “ IA” (practice:information-structuring) Practice Technology

84. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) Giver Target Associations : multiple roles Applied knowledge <association type=“applied-knowledge”> <member id=“alex” roletype=“giver” /> <member id=“nla” roletype=“target” /> <member id=“tmseminar” roletype=“medium” /> <member id=“tm” roletype=“concept” /> </association> “ IA” (practice:information-structuring) Practice Technology

85. Occurrences

86. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) Occurrences “ IA” (practice:information-structuring)

87. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) Occurrences <topic id=“nla” type=“library”> <name>NLA</name> </topic> “ IA” (practice:information-structuring)

88. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) Occurrences http://www.nla.gov.au (website) <topic id=“nla” type=“library”> <name>NLA</name> <occurrence type=“website” href=“ www.nla.gov.au ” /> </topic> “ IA” (practice:information-structuring)

89. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) Occurrences 3495x34874 (map-coordinates) <topic id=“nla” type=“library”> <name>NLA</name> <occurrence type=“map-coordinates”> 3495x34874 </occurrence> </topic> “ IA” (practice:information-structuring) http://www.nla.gov.au

90. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) Occurrences 3495x34874 www.nla.gov.au/map.gif (map) <topic id=“nla” type=“library”> <name>NLA</name> <occurrence type=“map” href=“ www.nla.gov.au /map.gif” /> </topic> “ IA” (practice:information-structuring) http://www.nla.gov.au

91. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) Occurrences http://iainstitute.org/ (website) “ IA” (practice:information-structuring)

92. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) Occurrences http://iainstitute.org/ (explanation:short) “ IA” (practice:information-structuring) practice of structuring information

93. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) Occurrences http://iainstitute.org/ practice of structuring information Shelter.nu/schema/ia_1.0 Associations (schema) “ IA” (practice:information-structuring)

94. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) Associations “ IA” (practice:information-structuring)

95. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) Associations : Applied knowledge “ IA” (practice:information-structuring)

96. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) Associations “ IA” (practice:information-structuring)

97. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) Associations “ IA” (practice:information-structuring)

98. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) A Topic Map Ontology “ IA” (practice:information-structuring)

99. T opics A ssociations O ccurrences

100. Ontology

102. “ NLA” (library) “ Alex” (person) “ Topic Maps” (concept) Ontology “ IA” (practice:information-structuring)

103. “ Alex” (person) “ Topic Maps” (concept) Ontology “ NLA” (library) “ IA” (practice:information-structuring)

104. - library - person - concept - seminar Ontology : taxonomy - organisation - resources - training - books - maps - Physical objects - goals - needs - funds - goodwill - objects - methods

105. Ontology : controlled vocabulary Organisation : corporation (see also) , enterprise (narrower term) Person : human (broader term) , worker (narrower term) Resource : person (narrower term, see also) , book (narrower term) , map (narrower term) Topic Maps : concept (broader term) Training : seminar (narrower term) , course (narrower term) , presentation (narrower term, see also) Computer : server (narrower term, see also) , resource (broader term) Collection : library (broader term) , set (narrower term) All-together-now example

106. Ontology : controlled vocabulary Migrants USE Immigrants Military historians (LCSH) BT Historians Military spouses (local) BT Spouses RT War widows Millers (LCSH) UF Flour millers Milliners USE Hatters and milliners Mine owners (local) UF Mine proprietors Mine proprietors USE Mine owners Mineralogists (LCSH) BT Earth scientists OCCUPATIONS THESAURUS Recommended for contributions to the Australian Register of Archives and Manuscripts

107. Ontology : controlled vocabulary Migrants USE Immigrants Military historians (LCSH) BT Historians Military spouses (local) BT Spouses RT War widows Millers (LCSH) UF Flour millers Milliners USE Hatters and milliners Mine owners (local) UF Mine proprietors Mine proprietors USE Mine owners Mineralogists (LCSH) BT Earth scientists OCCUPATIONS THESAURUS Recommended for contributions to the Australian Register of Archives and Manuscripts “ USE” #ontology-term-use

108. Ontology : controlled vocabulary Migrants USE Immigrants Military historians (LCSH) BT Historians Military spouses (local) BT Spouses RT War widows Millers (LCSH) UF Flour millers Milliners USE Hatters and milliners Mine owners (local) UF Mine proprietors Mine proprietors USE Mine owners Mineralogists (LCSH) BT Earth scientists OCCUPATIONS THESAURUS Recommended for contributions to the Australian Register of Archives and Manuscripts “ USE” #ontology-term-use

109. Ontology : controlled vocabulary Migrants USE Immigrants Military historians (LCSH) BT Historians Military spouses (local) BT Spouses RT War widows Millers (LCSH) UF Flour millers Milliners USE Hatters and milliners Mine owners (local) UF Mine proprietors Mine proprietors USE Mine owners Mineralogists (LCSH) BT Earth scientists OCCUPATIONS THESAURUS Recommended for contributions to the Australian Register of Archives and Manuscripts “ USE” #ontology-term-use

110. Ontology : controlled vocabulary Migrants USE Immigrants Military historians (LCSH) BT Historians Military spouses (local) BT Spouses RT War widows Millers (LCSH) UF Flour millers Milliners USE Hatters and milliners Mine owners (local) UF Mine proprietors Mine proprietors USE Mine owners Mineralogists (LCSH) BT Earth scientists “ USE” OCCUPATIONS THESAURUS Recommended for contributions to the Australian Register of Archives and Manuscripts “ Milliners” (occupation) “ Hatters and milliners” (occupation) #ontology-term-use

111. Ontology : controlled vocabulary Migrants USE Immigrants Military historians (LCSH) BT Historians Military spouses (local) BT Spouses RT War widows Millers (LCSH) UF Flour millers Milliners USE Hatters and milliners Mine owners (local) UF Mine proprietors Mine proprietors USE Mine owners Mineralogists (LCSH) BT Earth scientists “ USE” OCCUPATIONS THESAURUS Recommended for contributions to the Australian Register of Archives and Manuscripts “ Milliners” (occupation) “ Hatters and milliners” (occupation) Non-preferred #ontology-term-use

112. Ontology : controlled vocabulary Migrants USE Immigrants Military historians (LCSH) BT Historians Military spouses (local) BT Spouses RT War widows Millers (LCSH) UF Flour millers Milliners USE Hatters and milliners Mine owners (local) UF Mine proprietors Mine proprietors USE Mine owners Mineralogists (LCSH) BT Earth scientists “ USE” OCCUPATIONS THESAURUS Recommended for contributions to the Australian Register of Archives and Manuscripts “ Milliners” (occupation) “ Hatters and milliners” (occupation) Preferred Non-preferred #ontology-term-use A small digression

113. Ontology : controlled vocabulary Migrants USE Immigrants Military historians (LCSH) BT Historians Military spouses (local) BT Spouses RT War widows Millers (LCSH) UF Flour millers Milliners USE Hatters and milliners Mine owners (local) UF Mine proprietors Mine proprietors USE Mine owners Mineralogists (LCSH) BT Earth scientists “ USE” OCCUPATIONS THESAURUS Recommended for contributions to the Australian Register of Archives and Manuscripts Preferred Non-preferred #ontology-term-use “ Preferred” #nla-ontology-term-use-preferred

114. Ontology : controlled vocabulary OCCUPATIONS THESAURUS Recommended for contributions to the Australian Register of Archives and Manuscripts “ Milliners” (occupation) “ Hatters and milliners” (occupation) Preferred Non-preferred Milliners What is your occupation? Your occupation is better known as “ Hatters and milliners” “ USE” #ontology-term-use

115. Ontology : controlled vocabulary : it’s all about types OCCUPATIONS THESAURUS Recommended for contributions to the Australian Register of Archives and Manuscripts ontology

116. Persistent identifiers and and merging

117. PSI XY project My new app Fish ontology

118. PSI “ Alex” #nla-resource-person #nla-person-ajohanne “ Alexander” #nla-resource-team-member #nla-person-ajohanne “ Johannesen, Alex” #nla-resource-employee #nla-person-ajohanne XY project My new app Fish ontology

119. PSI “ Alex” #nla-resource-person #nla-person-ajohanne “ Alexander” #nla-resource-team-member #nla-person-ajohanne “ Johannesen, Alex” #nla-resource-employee #nla-person-ajohanne XY project My new app Fish ontology

120. PSI “ Alex ” , “ Alexander ” , “ Johannesen, Alex ” #nla-resource-team-member #nla-resource-person #nla-resource-employee #nla-person-ajohanne “ Alex” #nla-resource-person #nla-person-ajohanne “ Alexander” #nla-resource-team-member #nla-person-ajohanne “ Johannesen, Alex” #nla-resource-employee #nla-person-ajohanne XY project My new app Fish ontology

121. ontology One data model is easy to share, as is the language and terms used XY project My new app Fish ontology

122. Quick prototyping and reuse of data by merging ontology Fiddle Project XY project My new app Fish ontology

123. ontology Fiddle Project Expansions and extensions to scope and data stores made easy Dingbat Project XY project My new app Fish ontology

124. All encompassing applications are possible ontology Fiddle Project Dingbat Project XY project My new app Fish ontology

125. Share your structures and data with outside sources as well ontology Fiddle Project Dingbat Project AustLit project XY project My new app Fish ontology

126. Demo Opera! (This will make Thomas go Pivot crazy!!)

127. What do I do Information architecture

131. types tags

132. Mea Culpa!

133. The end