SlideShare ist ein Scribd-Unternehmen logo
1 von 87
Downloaden Sie, um offline zu lesen
Ontology Dojo
Using an Ontological Mindset to Solve IA Problems
Name:
Height:
Weight:
Age:
Hello…Metadata Please
• Last IA/Industry Book Read
• Favorite Ice Cream flavor/Dessert
• Favorite city to travel to
Ben reads bookthe
Grammatical Structure Matters
Bens lasīja grāmatu
Heluheluʻo Ben i ka puk
About Language
Ontology and the Development Life
Cycle
Need ProductRequirements
Design/
Architecture
Engineering Development Test/
Validation
House
• 3 Bedroom
• 2 Bath
• Home Office
• 1 Story
Inspection
Ontology and the Development Life
Cycle
Need ProductRequirements
Design/
Architecture
Engineering Development Test/
Validation
Wine
Website
Inspection
• Wine Varieties
• Find Information
• Common language
to exchange
information
• XML
• RDF
• OWL
• NEO4j
• SPARQL
Concept
Map
Entity
Relationship
Diagram
What is Ontology?
• Philosophical study of being and reality
• “Ontology” has taken on two meanings:
• Classical Ontology (a study of philosophy focused on the nature of
being)
• Modern Applied Ontology (Using ontological theory to describe
things to facilitate the design of information systems)
Ontology is a deliberate method of characterization
Who Uses Ontology?
Information
Architects
Librarians/
Archivists/
Taxonomists
Philosophers Investigators/
Law Enforcement
Geographers
History of Ontology
Parmenides
Plato &
Tom GruberJean Paul Sartre
Study of Existence Concrete vs Abstract Applied
From Classical to Modern Applied Ontology
• Describe things and their
relationships to other things
• Model and document things
• Facilitate finding things and
sharing information
Prove and describe
existence of things.
Classical Modern
Modern Ontologies
• Highest Level
• “Metaontology”
• Rosetta Stone
Upper Level
• Scoped by a topic
• “Unique” Language (Controlled Vocabulary)Domain
• Mix of Upper Level and Domain
• Usually very technicalHybrid
Modern Ontologies
Dogs
Cats
Fish
Pets
Biology
Document
Domain
Ontologies
Upper Level
Ontologies
The Building Blocks of Ontology
Objects Predicates Attributes
Name:
Height:
Weight:
Age:
Domains Class
Limits must be placed on what is examined
“The ontology of…”
Domains
Ontology IA/UX Comp Sci Business Library Science BOLO
Domain Scope Domain Scope • Subject
• Topic
• Verticals
• Stove Pipes
Domains
Broad Narrow
Build
Borrow
USAGE
TOPIC SCOPE
ANTIDEPRESSANTS
WALMART
INVENTORY
Healthcare
Finance
RHONE WINES
Domains
Upper Domain
Domains
The purpose of _________________________is to
____________________________ so
that___________________________
Domains
The purpose of the ______________Ontology is to
____________________________ so
that___________________________
Michigan Wine
Show the relationships between wines varieties
users can discover the wine varieties they like
Domains
Narrow or Broad?
• Cruise Ship Entertainment
• Gardening Techniques
• Dog Breeds
Objects
The difference between nothing and being
Ontology IA/UX Comp Sci Business Library
Science
BOLO
• Being
• Object
• Object
• Artifact
• Object
• Entity
• Vertex
Entity
Object
Artifact
• Object
• Artifact
• Nouns
• Product
• Things
• Concepts
Objects
• Interactions
• Organization
• Life Cycle
• Ownership
• Identification
• Attributes
• Concrete
• Abstract
Type Description
RelationshipsGovernance
Objects
Concrete
• Does not have to be something you “touch”
• Concrete objects can take action
• Adheres to the laws of physics
• Much easier to communicate and describe to
others
Objects
Abstract
• May have to “invent” physics
• Harder to describe due to perspective
• May not be able to take action
• Often reuse terms and concepts we are
familiar with.
Objects
On the edges
• Virtual objects can be hard to categorize
• May be a matter of perspective
• Interaction between abstract and concrete
objects can be interesting
Citizens United v. FEC (2010)
Objects
Objects
Concrete or Abstract?
• The Empire State Building
• 2021 EIA Summit
• YouTube (The website)
The actions among things
Predicates
Ontology IA/UX Comp Sci Business Library Science BOLO
• Predicate
• Link
• Relationship
• Link
• Predicate
• Edge
• Relationship
• Link
• Relationship
• Link
• Rule
• Constraint
• Action
Predicates
Ben reads bookthe
Action of one object on another
Predicates
Ben
reads
book
the
Action of one object on another
Predicates
HyponymHypernym
MeronymHolonym
Synonym Antinym
General Specific
Whole Part
Like Different
Predicates
IS A TYPE OF
Animal
Invertebrate
Insect
Crustacean
Vertebrate
Mammal
Reptile
Uses
• Taxonomies
• Card Sorting
• Affinity Diagrams
• Concept Map
Hypernym
Hyponym
Predicates
IS PART OF
Uses
• Site Map
• Content Inventory
• Venn Diagram
• Card Sort
• Concept Map
• Affinity Diagram
Meronym
Meronym
Meronym
Holonym
Predicates
IS PART OF
Example Part Type
(1) The handle is part of the mug. Physical
(2) The remote control is part of the stereo system. Collection
(3) The left half is your part of the cake. Portion
(4) The cutlery is part of the tableware. Set
(5) The contents of this bag is only part of what I
bought.
Unrelated Collection
(6) That area is part of the living room. Spatial
(7) The outermost points are part of the perimeter. Location
(8) The first act was the best part of the play. Temporal
Different Types of Parts
Predicates
Synonym/Antinym
IS LIKE
Uses
• Thesaurus
• Controlled
Vocabulary
• Card Sort
• Concept Map
• Affinity Diagram
TAXONOMIES
CONCEPT MAPS
SITE MAPS
AFFINITY MAPPING/
CARD SORTS
Look for the lines
Predicates
Predicates are Everywhere
Ben
reads
book
the
buys
owns
Predicates
Other Predicates
the
the
• Try to use predefined/
established predicates
• May have to create abstract
objects
• Make a legend/directory of your
predicates
Is a Type of
Is a Part of
Is Like
Is not Like
Is a Type of
Is a Part of
Is Like
Is not Like
Purchases
Reviews
Creates
Predicates
Other Predicates
• Try to use predefined/
established predicates
• May have to create abstract
objects
• Make a legend/directory of your
predicates
Tammy Pez
Friend of
Predicates
Other Predicates
• Try to use predefined/
established predicates
• May have to create abstract
objects
• Make a legend/directory of your
predicates
Tammy PezTammy Pez
Friend-
ship
Predicates
Other Predicates
Predicates
Employee Department
?
Predicates
LEGO Toy
?
Predicates
Start Time Event
?
Predicates
Driver School Bus
?
Name:
Height:
Weight:
Age:
“Metadata liberates us, liberates knowledge.”
David Weinberger
Attributes
Ontology IA/UX Comp Sci Business Library Science BOLO
Attributes • Attributes
• Metadata
• Attributes
• Properties
• Metadata
• Metadata
• Properties
• Metadata • Characteristics
• Descriptor
• Descriptive data
• Associative data
• Adjectives/adverbs
Name:
Height:
Weight:
Age:
Attributes
• Captures characteristics
• Almost endless data points can
be captured…know the scope of
your project
• Attributes/Metadata has evolved
tremendously over past 20 years
Name:
Height:
Weight:
Age:
Make: MG
Model: TD Midget
Body Style: Convertible
Color: Lt Brown
Era: Vintage
Make: MG
Model: TD Midget
Height: 53”
Length: 145”
Width: 59”
Make: MG
Model: TD Midget
Website: www.mg.co.uk
Description: The MG T series is a range
of body-on-
frame convertible sports
cars that were…
Video:
Attributes
Name:
Height:
Weight:
Age:
UNIQUE IDENTIFIERS
ID EVERYTHINGObjects
Predicates
Classes
Metadata
Deliverables
Notes
Clients
Attributes
Name:
Height:
Weight:
Age:
UNIQUE IDENTIFIERS
Prefix Object Type
OBJ General Object
PSN Persona
TAX Taxonomy
PRD Predicate
OBJ-38 TAX-04
Attributes
Attributes Name:
Height:
Weight:
Age:
Book
in a
Library
Title
Author
Edition
ISBN
Price
Subject
Ontology IA/UX Comp Sci Business Library Science BOLO
Class • Class
• Group
• Collection
• Category
• Class
• Group
• Collection
• Class
• Group
• Collection
• Category
• Class
• Subject
• Schema
• Taxon
• Type
Classes
• When several object share
one or more non-
identifying attributes, they
may makeup a class
• Sales Manager is the class
in the example
• The more attributes that
match, the more specific
the class (North American
Sales Manager
NAME: Alan Moore
OCCUPATION: Sales Manager
LOCATION: North America
SALARY: $88,000
NAME: Sara Whatley
OCCUPATION: Sales Manager
LOCATION: South America
SALARY: $93,000
NAME: Torey Joliet
OCCUPATION: Sales Manager
LOCATION: North America
SALARY: $82,000
Classes
“To be or not to be”
“I think therefore I am”
“The definition of
‘is,’ is”
Class/Predicate/Attribute Pitfalls
Mammal
Is a type of
A Cat Maria
Mammal
Is a type ofClass
Instance
Is a
Class/Predicate/Attribute Pitfalls
Product
Clothes
Pants Shirts
North Face
Solar Plaid
Tools
Hand
Hammer
Craftsman
Power Impact
Power
Class/Predicate/Attribute Pitfalls
Organization
Corporate
Offices
Divisions
Branches
HR
Legal
Finance
Sections Teams
Offices
Field Offices
Franchises
Class/Predicate/Attribute Pitfalls
Application to IA
Is a Part ofIs a Type of
HIERARCHIES (TAXONOMIES, SITE MAPS, AFFINITY DIAGRAMS)
Object
Object Object Object Object
ObjectObject
Object
Predicates
(Is a Type of)
(Is a Part of)
• Try to use one predicate
type per diagram
• Mix predicates vertically
Deliverables
PERSONAS (ORGANAS, SPEC SHEETS….)
SusanThe Administrator
Location: Apps:
iControl
NetView
HRBase
Basic Intranet
Admin Stats
~~~: xxxxxxx
~~~: xxxx
~~~: xxxxx
Description:
Lorem ipsum dolor sit
amet, consectetur
adipiscing elit. Nullam
suscipit lacus sit amet eros
vehicula sagittis. In in
sapien turpis. Donec risus
nisi, bibendum id tristique
non, rutrum vitae.
Availability:
Content
Knowledge:
Training:
Investment:
P-12.AB20
Deliverables
SusanThe Administrator
Location: Apps:
iControl
NetView
HRBase
Basic Intranet
Admin Stats
~~~: xxxxxxx
~~~: xxxx
~~~: xxxxx
Description:
Lorem ipsum dolor sit
amet, consectetur
adipiscing elit. Nullam
suscipit lacus sit amet eros
vehicula sagittis. In in
sapien turpis. Donec risus
nisi, bibendum id tristique
non, rutrum vitae.
Availability:
Content
Knowledge:
Training:
Investment:
P-12.AB20
CLASS GLOBAL METADATA
CLASS METADATA
ID
PERSONAS (ORGANAS, SPEC SHEETS….)
Deliverables
CONCEPT MAPS
Title (Domain)
Is a Part of
Is a Type of
Uses
Object
Object
Object
Object
Object
Predicate
Predicate
Predicate
Predicate
Predicate
Attributes
Attributes
Attributes
Attributes
Attributes
Class
Deliverables
Is a Part of
Is a Type of
Uses
System ToolsAdministrator
Anchorage
Office
iControl
XYZ Corp’s Intranet
HRBase
NetView
Personnel
(Persona)
(Taxonomy)
(UI Wireframe)
P-12.AB20
CONCEPT MAPS—TYING IT ALL TOGETHER
Deliverables
Object/Predicate UX/UI
Objects
UIs Predicate
Experience
Object/Predicate UX/UI
Tammy PezTammy Pez
Friend-
ship
Profile UI
Friendship UI
Experience
Interactions
Low Fidelity
• Initial Design
• Rapid Design
• Presentation
Sketching Tools Sticky Notes/Paper Listing Tools
Tools and Technologies
High Fidelity
• Capture Metadata/Predicates/Classes
• Actionable ( Development Ready) Designs
• Record Keeping
Mind Mapping
CAD
Tools and Technologies
• Extensible Markup Language (XML)
• Unified Modeling Language (UML)
• Ontological Web Language (OWL)
• Resource Description Framework (RDF)
Tools and Technologies
Goal:
Complete a series of activities that simulate ontological thinking and
the creation of an ontology to solve a complex IA problem.
Problem we are solving:
We are building a website or application for a diverse group of
conference visitors to Dublin in 2018, and need to make a wide variety
of transportation options, and their interplay, clear
Ontological Thinking Activity
DUBLIN
TRANSIT
Mapping out a model of the complex
system will help us understand how to
best situate and plan our website within
the already complex Dublin Transit
ecosystem.
Mapping out this ecosystem will also allow
us to have a shared vocabulary around
stakeholders, users, inputs, outputs,
integrations, and relationships between
these entities, leading to more clear
shared communication on project goals
and complexities.
Ecosystem Model
Ecosystem Example: Duke University
Press
STEP 1:
List out all possible
objects
Objects are nodes in a complex system.
Think of any noun you might use when
talking about transit in Dublin. They can
be:
• People / Roles
• Groups
• Organizations & Agencies
• Places
• Artifacts
• Payment types
Pro-Tip: group all like items on the same color
Post – it – ie: all people are blue, all systems
green.
Objects Rail
Car Sharing
Organizer
Attendee
Aircoach
Taxi
Bus
Luas
Trains
Leap Card
Permit
MyTaxi
• Looking at your Wikipedia articles, pull out:
• Objects (nouns)
• Classes (categories you need to call out)
• If time - Attributes (Adjectives)
• Generate other objects you know to be true but are not in the Wikipedia article (see the article
co-chairs put together, personal experience)
• Write on your post its – remember, ideally each class should have it’s own color
• Ren & Jess walk around and answer questions
• 15 minutes to do this
Finding your Objects
STEP 2:
Map out Objects on
the wall
Ontology dojo presentation eia 18 workshop take away
STEP 3:
Think about
connections
(AKA: Predicates)
Predicates are typically verbs and
prepositions that show relationships
between objects.
Examples include:
• Is a part of
• Is a type of
• Is like
• Serves
• Purchases
Remember: Keep your predicates
streamlined, uniform, and minimal.
Predicates
STEP 4:
Move Objects around
before adding
Predicates
STEP 5:
Sketch in Predicates
It’s ok for your
Predicates to
be messy
at this stage
Group sharing and conversation:
1. Describe your progress & approach
2. Challenges
3. Open Questions
4. Reflections
Sharing
Ready to go out and
CLASS
First Round of Ontology Dojo
• What do you do with it once you're done?
• Solving the initial ask… how does this help us actually make the website now?
• Deriving sitemaps, taxonomies, user journeys from this ontology
• How could you start to do some organization with this? Sitemaps? Would different table have
different sitemaps? Why?
• Methods of output and application
• XML vs. UML vs. OWL vs. RDF - would be nice to see a chart comparing these
• Tools of the Trade
• CMAP
• Excel
• Other Software -(ie: Visio, Omnigraffle)
• Taxobank
Now What?
• Books, Blogs, Training, Events
• Carrie Hane & Mike Atherton: Designing Connected Content
• Carrie Hane – Connected Content @IAS 2018
• Kat King - Personal Ontology Maps @IAS 2018
• Ontology Worksheet
• https://ubwp.buffalo.edu/ncor/training-and-education/
• Stanford on Parthood
• Ontology
• Upper Ontology
• How to follow up with questions
• Ren: @info_do
• Jess: jess@rs21.io
Additional Resources
Sources
• http://www.imdb.com/title/tt0087538/?ref_=ttmd_md_nm
• https://upload.wikimedia.org/wikipedia/commons/e/ed/Parmenides.jpg
• https://upload.wikimedia.org/wikipedia/commons/4/4a/Plato-raphael.jpg
• https://www.flickr.com/photos/government_press_office/6470403371/
• https://upload.wikimedia.org/wikipedia/commons/6/6e/Golde33443.jpg
• https://upload.wikimedia.org/wikipedia/commons/2/24/George_Washingt
on_Bridge_from_New_Jersey-edit.jpg
• http://library.corporate-
ir.net/library/17/176/176060/mediaitems/93/a.com_logo_RGB.jpg
• https://commons.wikimedia.org/wiki/File:Title_page_William_Shakes
peare%27s_First_Folio_1623.jpg
• https://commons.wikimedia.org/wiki/File:Frans_Hals_-
_Portret_van_Ren%C3%A9_Descartes.jpg
• https://commons.wikimedia.org/wiki/File:44_Bill_Clinton_3x4.jpg
• http://www.visualthesaurus.com/
• http://cmap.ihmc.us/docs/theory-of-concept-maps

Weitere ähnliche Inhalte

Was ist angesagt?

Scholarly Communication 101
Scholarly Communication 101Scholarly Communication 101
Scholarly Communication 101Claire Sewell
 
공간데이터베이스(Spatial db)
공간데이터베이스(Spatial db)공간데이터베이스(Spatial db)
공간데이터베이스(Spatial db)H.J. SIM
 
Supply Chain Twin Demo - Companion Deck
Supply Chain Twin Demo - Companion DeckSupply Chain Twin Demo - Companion Deck
Supply Chain Twin Demo - Companion DeckNeo4j
 
Knowledge Graphs & Graph Data Science, More Context, Better Predictions - Neo...
Knowledge Graphs & Graph Data Science, More Context, Better Predictions - Neo...Knowledge Graphs & Graph Data Science, More Context, Better Predictions - Neo...
Knowledge Graphs & Graph Data Science, More Context, Better Predictions - Neo...Neo4j
 
DSpace-CRIS technical level introduction
DSpace-CRIS technical level introductionDSpace-CRIS technical level introduction
DSpace-CRIS technical level introduction4Science
 
Neo4j Popular use case
Neo4j Popular use case Neo4j Popular use case
Neo4j Popular use case Neo4j
 
DSpace 7 - The Power of Configurable Entities
DSpace 7 - The Power of Configurable EntitiesDSpace 7 - The Power of Configurable Entities
DSpace 7 - The Power of Configurable EntitiesAtmire
 
How to Build a Recommendation Engine with Neo4j
How to Build a Recommendation Engine with Neo4jHow to Build a Recommendation Engine with Neo4j
How to Build a Recommendation Engine with Neo4jNeo4j
 
Microsoft Fabric: How to Accelerate AI with Data
Microsoft Fabric: How to Accelerate AI with DataMicrosoft Fabric: How to Accelerate AI with Data
Microsoft Fabric: How to Accelerate AI with DataBrainSell Technologies
 
Unlocking Geospatial Analytics Use Cases with CARTO and Databricks
Unlocking Geospatial Analytics Use Cases with CARTO and DatabricksUnlocking Geospatial Analytics Use Cases with CARTO and Databricks
Unlocking Geospatial Analytics Use Cases with CARTO and DatabricksDatabricks
 
Introduction to CKAN
Introduction to CKANIntroduction to CKAN
Introduction to CKANOKCon2013
 
FIWARE Global Summit - FogFlow, a new GE for IoT Edge Computing
FIWARE Global Summit - FogFlow, a new GE for IoT Edge ComputingFIWARE Global Summit - FogFlow, a new GE for IoT Edge Computing
FIWARE Global Summit - FogFlow, a new GE for IoT Edge ComputingFIWARE
 
Apache AGE and the synergy effect in the combination of Postgres and NoSQL
 Apache AGE and the synergy effect in the combination of Postgres and NoSQL Apache AGE and the synergy effect in the combination of Postgres and NoSQL
Apache AGE and the synergy effect in the combination of Postgres and NoSQLEDB
 
DSpace 7 ORCID Integration
DSpace 7 ORCID IntegrationDSpace 7 ORCID Integration
DSpace 7 ORCID Integration4Science
 
Advanced GeoServer Security with GeoFence
Advanced GeoServer Security with GeoFenceAdvanced GeoServer Security with GeoFence
Advanced GeoServer Security with GeoFenceGeoSolutions
 
Knowledge Graphs for Transformation: Dynamic Context for the Intelligent Ente...
Knowledge Graphs for Transformation: Dynamic Context for the Intelligent Ente...Knowledge Graphs for Transformation: Dynamic Context for the Intelligent Ente...
Knowledge Graphs for Transformation: Dynamic Context for the Intelligent Ente...Neo4j
 
Architecting the ArcGIS Platform - Technical - Esri UK Annual Conference 2017
Architecting the ArcGIS Platform - Technical - Esri UK Annual Conference 2017Architecting the ArcGIS Platform - Technical - Esri UK Annual Conference 2017
Architecting the ArcGIS Platform - Technical - Esri UK Annual Conference 2017Esri UK
 
[공간정보시스템 개론] L09 공간 데이터 모델
[공간정보시스템 개론] L09 공간 데이터 모델[공간정보시스템 개론] L09 공간 데이터 모델
[공간정보시스템 개론] L09 공간 데이터 모델Kwang Woo NAM
 
Advanced Security With GeoServer
Advanced Security With GeoServerAdvanced Security With GeoServer
Advanced Security With GeoServerGeoSolutions
 

Was ist angesagt? (19)

Scholarly Communication 101
Scholarly Communication 101Scholarly Communication 101
Scholarly Communication 101
 
공간데이터베이스(Spatial db)
공간데이터베이스(Spatial db)공간데이터베이스(Spatial db)
공간데이터베이스(Spatial db)
 
Supply Chain Twin Demo - Companion Deck
Supply Chain Twin Demo - Companion DeckSupply Chain Twin Demo - Companion Deck
Supply Chain Twin Demo - Companion Deck
 
Knowledge Graphs & Graph Data Science, More Context, Better Predictions - Neo...
Knowledge Graphs & Graph Data Science, More Context, Better Predictions - Neo...Knowledge Graphs & Graph Data Science, More Context, Better Predictions - Neo...
Knowledge Graphs & Graph Data Science, More Context, Better Predictions - Neo...
 
DSpace-CRIS technical level introduction
DSpace-CRIS technical level introductionDSpace-CRIS technical level introduction
DSpace-CRIS technical level introduction
 
Neo4j Popular use case
Neo4j Popular use case Neo4j Popular use case
Neo4j Popular use case
 
DSpace 7 - The Power of Configurable Entities
DSpace 7 - The Power of Configurable EntitiesDSpace 7 - The Power of Configurable Entities
DSpace 7 - The Power of Configurable Entities
 
How to Build a Recommendation Engine with Neo4j
How to Build a Recommendation Engine with Neo4jHow to Build a Recommendation Engine with Neo4j
How to Build a Recommendation Engine with Neo4j
 
Microsoft Fabric: How to Accelerate AI with Data
Microsoft Fabric: How to Accelerate AI with DataMicrosoft Fabric: How to Accelerate AI with Data
Microsoft Fabric: How to Accelerate AI with Data
 
Unlocking Geospatial Analytics Use Cases with CARTO and Databricks
Unlocking Geospatial Analytics Use Cases with CARTO and DatabricksUnlocking Geospatial Analytics Use Cases with CARTO and Databricks
Unlocking Geospatial Analytics Use Cases with CARTO and Databricks
 
Introduction to CKAN
Introduction to CKANIntroduction to CKAN
Introduction to CKAN
 
FIWARE Global Summit - FogFlow, a new GE for IoT Edge Computing
FIWARE Global Summit - FogFlow, a new GE for IoT Edge ComputingFIWARE Global Summit - FogFlow, a new GE for IoT Edge Computing
FIWARE Global Summit - FogFlow, a new GE for IoT Edge Computing
 
Apache AGE and the synergy effect in the combination of Postgres and NoSQL
 Apache AGE and the synergy effect in the combination of Postgres and NoSQL Apache AGE and the synergy effect in the combination of Postgres and NoSQL
Apache AGE and the synergy effect in the combination of Postgres and NoSQL
 
DSpace 7 ORCID Integration
DSpace 7 ORCID IntegrationDSpace 7 ORCID Integration
DSpace 7 ORCID Integration
 
Advanced GeoServer Security with GeoFence
Advanced GeoServer Security with GeoFenceAdvanced GeoServer Security with GeoFence
Advanced GeoServer Security with GeoFence
 
Knowledge Graphs for Transformation: Dynamic Context for the Intelligent Ente...
Knowledge Graphs for Transformation: Dynamic Context for the Intelligent Ente...Knowledge Graphs for Transformation: Dynamic Context for the Intelligent Ente...
Knowledge Graphs for Transformation: Dynamic Context for the Intelligent Ente...
 
Architecting the ArcGIS Platform - Technical - Esri UK Annual Conference 2017
Architecting the ArcGIS Platform - Technical - Esri UK Annual Conference 2017Architecting the ArcGIS Platform - Technical - Esri UK Annual Conference 2017
Architecting the ArcGIS Platform - Technical - Esri UK Annual Conference 2017
 
[공간정보시스템 개론] L09 공간 데이터 모델
[공간정보시스템 개론] L09 공간 데이터 모델[공간정보시스템 개론] L09 공간 데이터 모델
[공간정보시스템 개론] L09 공간 데이터 모델
 
Advanced Security With GeoServer
Advanced Security With GeoServerAdvanced Security With GeoServer
Advanced Security With GeoServer
 

Ähnlich wie Ontology dojo presentation eia 18 workshop take away

IAS 16 Ontology Dojo
IAS 16 Ontology DojoIAS 16 Ontology Dojo
IAS 16 Ontology DojoRen Pope
 
Overview of Archival Processing
Overview of Archival ProcessingOverview of Archival Processing
Overview of Archival Processingjennifer whitlock
 
Know Your Library And Become Information Literate 2
Know Your Library And Become Information Literate 2Know Your Library And Become Information Literate 2
Know Your Library And Become Information Literate 23nrico
 
Finding library resources soci 3680
Finding library resources soci 3680Finding library resources soci 3680
Finding library resources soci 3680ljackso2
 
Faceted Classification System in Libraries
Faceted Classification System in LibrariesFaceted Classification System in Libraries
Faceted Classification System in LibrariesLaura Loveday Maury
 
Practical Information Architecture
Practical Information ArchitecturePractical Information Architecture
Practical Information ArchitectureRob Bogue
 
Education institute2012
Education institute2012Education institute2012
Education institute2012Stephen Abram
 
INFORMATION SKILLS: NAVIGATING RESEARCH IN LIBRARY
INFORMATION SKILLS: NAVIGATING RESEARCH IN LIBRARYINFORMATION SKILLS: NAVIGATING RESEARCH IN LIBRARY
INFORMATION SKILLS: NAVIGATING RESEARCH IN LIBRARYChris Okiki
 
WS Scott Spring 2013
WS Scott Spring 2013WS Scott Spring 2013
WS Scott Spring 2013Traciwm
 
Annotated bib and research strategies
Annotated bib and research strategiesAnnotated bib and research strategies
Annotated bib and research strategiesTraciwm
 
Realizing the Full Potential of Taxonomies by Branka Kosovac
Realizing the Full Potential of Taxonomies by Branka KosovacRealizing the Full Potential of Taxonomies by Branka Kosovac
Realizing the Full Potential of Taxonomies by Branka KosovacContent Strategy Workshops
 
Durham University Library: Pre-sessional induction (education)
Durham University Library: Pre-sessional induction (education)Durham University Library: Pre-sessional induction (education)
Durham University Library: Pre-sessional induction (education)Richard Holmes
 
Durham University Library: Pre-sessional induction (arts & humanities)
Durham University Library: Pre-sessional induction (arts & humanities)Durham University Library: Pre-sessional induction (arts & humanities)
Durham University Library: Pre-sessional induction (arts & humanities)Richard Holmes
 
Narrative-Driven Recommendation for Casual Leisure Needs
Narrative-Driven Recommendation for Casual Leisure NeedsNarrative-Driven Recommendation for Casual Leisure Needs
Narrative-Driven Recommendation for Casual Leisure NeedsMarijn Koolen
 
Writing esl
Writing eslWriting esl
Writing eslTraciwm
 

Ähnlich wie Ontology dojo presentation eia 18 workshop take away (20)

IAS 16 Ontology Dojo
IAS 16 Ontology DojoIAS 16 Ontology Dojo
IAS 16 Ontology Dojo
 
Library thing
Library thingLibrary thing
Library thing
 
Overview of Archival Processing
Overview of Archival ProcessingOverview of Archival Processing
Overview of Archival Processing
 
Know Your Library And Become Information Literate 2
Know Your Library And Become Information Literate 2Know Your Library And Become Information Literate 2
Know Your Library And Become Information Literate 2
 
TUL 670-7, MATUL Thesis Structure
TUL 670-7, MATUL Thesis StructureTUL 670-7, MATUL Thesis Structure
TUL 670-7, MATUL Thesis Structure
 
OntologyEngineering.ppt
OntologyEngineering.pptOntologyEngineering.ppt
OntologyEngineering.ppt
 
Finding library resources soci 3680
Finding library resources soci 3680Finding library resources soci 3680
Finding library resources soci 3680
 
Faceted Classification System in Libraries
Faceted Classification System in LibrariesFaceted Classification System in Libraries
Faceted Classification System in Libraries
 
Practical Information Architecture
Practical Information ArchitecturePractical Information Architecture
Practical Information Architecture
 
Information Literacy Award - Drama, Theatre & Dance
Information Literacy Award - Drama, Theatre & DanceInformation Literacy Award - Drama, Theatre & Dance
Information Literacy Award - Drama, Theatre & Dance
 
Education institute2012
Education institute2012Education institute2012
Education institute2012
 
INFORMATION SKILLS: NAVIGATING RESEARCH IN LIBRARY
INFORMATION SKILLS: NAVIGATING RESEARCH IN LIBRARYINFORMATION SKILLS: NAVIGATING RESEARCH IN LIBRARY
INFORMATION SKILLS: NAVIGATING RESEARCH IN LIBRARY
 
WS Scott Spring 2013
WS Scott Spring 2013WS Scott Spring 2013
WS Scott Spring 2013
 
Annotated bib and research strategies
Annotated bib and research strategiesAnnotated bib and research strategies
Annotated bib and research strategies
 
Realizing the Full Potential of Taxonomies by Branka Kosovac
Realizing the Full Potential of Taxonomies by Branka KosovacRealizing the Full Potential of Taxonomies by Branka Kosovac
Realizing the Full Potential of Taxonomies by Branka Kosovac
 
Ontologies Fmi 042010
Ontologies Fmi 042010Ontologies Fmi 042010
Ontologies Fmi 042010
 
Durham University Library: Pre-sessional induction (education)
Durham University Library: Pre-sessional induction (education)Durham University Library: Pre-sessional induction (education)
Durham University Library: Pre-sessional induction (education)
 
Durham University Library: Pre-sessional induction (arts & humanities)
Durham University Library: Pre-sessional induction (arts & humanities)Durham University Library: Pre-sessional induction (arts & humanities)
Durham University Library: Pre-sessional induction (arts & humanities)
 
Narrative-Driven Recommendation for Casual Leisure Needs
Narrative-Driven Recommendation for Casual Leisure NeedsNarrative-Driven Recommendation for Casual Leisure Needs
Narrative-Driven Recommendation for Casual Leisure Needs
 
Writing esl
Writing eslWriting esl
Writing esl
 

Kürzlich hochgeladen

UI UX Process for SaaS Product Design Success
UI UX Process for SaaS Product Design SuccessUI UX Process for SaaS Product Design Success
UI UX Process for SaaS Product Design SuccessThink 360 Studio
 
WCM Branding Agency | 210519 - Portfolio Review (F&B) -s.pptx
WCM Branding Agency | 210519 - Portfolio Review (F&B) -s.pptxWCM Branding Agency | 210519 - Portfolio Review (F&B) -s.pptx
WCM Branding Agency | 210519 - Portfolio Review (F&B) -s.pptxHasan S
 
Design mental models for managing large-scale dbt projects. March 21, 2024 in...
Design mental models for managing large-scale dbt projects. March 21, 2024 in...Design mental models for managing large-scale dbt projects. March 21, 2024 in...
Design mental models for managing large-scale dbt projects. March 21, 2024 in...Ed Orozco
 
Introduce Trauma-Informed Design to Your Organization - CSUN ATC 2024
Introduce Trauma-Informed Design to Your Organization - CSUN ATC 2024Introduce Trauma-Informed Design to Your Organization - CSUN ATC 2024
Introduce Trauma-Informed Design to Your Organization - CSUN ATC 2024Ted Drake
 
Create Funeral Invites Online @ feedvu.com
Create Funeral Invites Online @ feedvu.comCreate Funeral Invites Online @ feedvu.com
Create Funeral Invites Online @ feedvu.comjakyjhon00
 
Designing for privacy: 3 essential UX habits for product teams
Designing for privacy: 3 essential UX habits for product teamsDesigning for privacy: 3 essential UX habits for product teams
Designing for privacy: 3 essential UX habits for product teamsBlock Party
 
Models of Disability - an overview by Marno Retief & Rantoa Letšosa
Models of Disability - an overview by Marno Retief & Rantoa LetšosaModels of Disability - an overview by Marno Retief & Rantoa Letšosa
Models of Disability - an overview by Marno Retief & Rantoa Letšosaannemarleenolthof1
 
UX Conference on UX Research Trends in 2024
UX Conference on UX Research Trends in 2024UX Conference on UX Research Trends in 2024
UX Conference on UX Research Trends in 2024mikailaoh
 
Unlocking Conversion_ The Art of Turning Visitors into Loyal Customers.pdf
Unlocking Conversion_ The Art of Turning Visitors into Loyal Customers.pdfUnlocking Conversion_ The Art of Turning Visitors into Loyal Customers.pdf
Unlocking Conversion_ The Art of Turning Visitors into Loyal Customers.pdfIBM
 
LRFD Bridge Design Specifications-AASHTO (2014).pdf
LRFD Bridge Design Specifications-AASHTO (2014).pdfLRFD Bridge Design Specifications-AASHTO (2014).pdf
LRFD Bridge Design Specifications-AASHTO (2014).pdfHctorFranciscoSnchez1
 
AMBER GRAIN EMBROIDERY | Growing folklore elements | Barbara Rakovska
AMBER GRAIN EMBROIDERY | Growing folklore elements | Barbara RakovskaAMBER GRAIN EMBROIDERY | Growing folklore elements | Barbara Rakovska
AMBER GRAIN EMBROIDERY | Growing folklore elements | Barbara RakovskaBarusRa
 
Math Group 3 Presentation OLOLOLOLILOOLLOLOL
Math Group 3 Presentation OLOLOLOLILOOLLOLOLMath Group 3 Presentation OLOLOLOLILOOLLOLOL
Math Group 3 Presentation OLOLOLOLILOOLLOLOLkenzukiri
 
Khushi sharma undergraduate portfolio...
Khushi sharma undergraduate portfolio...Khushi sharma undergraduate portfolio...
Khushi sharma undergraduate portfolio...khushisharma298853
 
High-Quality Faux Embroidery Services | Cre8iveSkill
High-Quality Faux Embroidery Services | Cre8iveSkillHigh-Quality Faux Embroidery Services | Cre8iveSkill
High-Quality Faux Embroidery Services | Cre8iveSkillCre8iveskill
 
Construction Documents Checklist before Construction
Construction Documents Checklist before ConstructionConstruction Documents Checklist before Construction
Construction Documents Checklist before ConstructionResDraft
 
Embroidery design from embroidery magazine
Embroidery design from embroidery magazineEmbroidery design from embroidery magazine
Embroidery design from embroidery magazineRivanEleraki
 
The future of UX design support tools - talk Paris March 2024
The future of UX design support tools - talk Paris March 2024The future of UX design support tools - talk Paris March 2024
The future of UX design support tools - talk Paris March 2024Alan Dix
 
How to use Ai for UX UI Design | ChatGPT
How to use Ai for UX UI Design | ChatGPTHow to use Ai for UX UI Design | ChatGPT
How to use Ai for UX UI Design | ChatGPTThink 360 Studio
 

Kürzlich hochgeladen (18)

UI UX Process for SaaS Product Design Success
UI UX Process for SaaS Product Design SuccessUI UX Process for SaaS Product Design Success
UI UX Process for SaaS Product Design Success
 
WCM Branding Agency | 210519 - Portfolio Review (F&B) -s.pptx
WCM Branding Agency | 210519 - Portfolio Review (F&B) -s.pptxWCM Branding Agency | 210519 - Portfolio Review (F&B) -s.pptx
WCM Branding Agency | 210519 - Portfolio Review (F&B) -s.pptx
 
Design mental models for managing large-scale dbt projects. March 21, 2024 in...
Design mental models for managing large-scale dbt projects. March 21, 2024 in...Design mental models for managing large-scale dbt projects. March 21, 2024 in...
Design mental models for managing large-scale dbt projects. March 21, 2024 in...
 
Introduce Trauma-Informed Design to Your Organization - CSUN ATC 2024
Introduce Trauma-Informed Design to Your Organization - CSUN ATC 2024Introduce Trauma-Informed Design to Your Organization - CSUN ATC 2024
Introduce Trauma-Informed Design to Your Organization - CSUN ATC 2024
 
Create Funeral Invites Online @ feedvu.com
Create Funeral Invites Online @ feedvu.comCreate Funeral Invites Online @ feedvu.com
Create Funeral Invites Online @ feedvu.com
 
Designing for privacy: 3 essential UX habits for product teams
Designing for privacy: 3 essential UX habits for product teamsDesigning for privacy: 3 essential UX habits for product teams
Designing for privacy: 3 essential UX habits for product teams
 
Models of Disability - an overview by Marno Retief & Rantoa Letšosa
Models of Disability - an overview by Marno Retief & Rantoa LetšosaModels of Disability - an overview by Marno Retief & Rantoa Letšosa
Models of Disability - an overview by Marno Retief & Rantoa Letšosa
 
UX Conference on UX Research Trends in 2024
UX Conference on UX Research Trends in 2024UX Conference on UX Research Trends in 2024
UX Conference on UX Research Trends in 2024
 
Unlocking Conversion_ The Art of Turning Visitors into Loyal Customers.pdf
Unlocking Conversion_ The Art of Turning Visitors into Loyal Customers.pdfUnlocking Conversion_ The Art of Turning Visitors into Loyal Customers.pdf
Unlocking Conversion_ The Art of Turning Visitors into Loyal Customers.pdf
 
LRFD Bridge Design Specifications-AASHTO (2014).pdf
LRFD Bridge Design Specifications-AASHTO (2014).pdfLRFD Bridge Design Specifications-AASHTO (2014).pdf
LRFD Bridge Design Specifications-AASHTO (2014).pdf
 
AMBER GRAIN EMBROIDERY | Growing folklore elements | Barbara Rakovska
AMBER GRAIN EMBROIDERY | Growing folklore elements | Barbara RakovskaAMBER GRAIN EMBROIDERY | Growing folklore elements | Barbara Rakovska
AMBER GRAIN EMBROIDERY | Growing folklore elements | Barbara Rakovska
 
Math Group 3 Presentation OLOLOLOLILOOLLOLOL
Math Group 3 Presentation OLOLOLOLILOOLLOLOLMath Group 3 Presentation OLOLOLOLILOOLLOLOL
Math Group 3 Presentation OLOLOLOLILOOLLOLOL
 
Khushi sharma undergraduate portfolio...
Khushi sharma undergraduate portfolio...Khushi sharma undergraduate portfolio...
Khushi sharma undergraduate portfolio...
 
High-Quality Faux Embroidery Services | Cre8iveSkill
High-Quality Faux Embroidery Services | Cre8iveSkillHigh-Quality Faux Embroidery Services | Cre8iveSkill
High-Quality Faux Embroidery Services | Cre8iveSkill
 
Construction Documents Checklist before Construction
Construction Documents Checklist before ConstructionConstruction Documents Checklist before Construction
Construction Documents Checklist before Construction
 
Embroidery design from embroidery magazine
Embroidery design from embroidery magazineEmbroidery design from embroidery magazine
Embroidery design from embroidery magazine
 
The future of UX design support tools - talk Paris March 2024
The future of UX design support tools - talk Paris March 2024The future of UX design support tools - talk Paris March 2024
The future of UX design support tools - talk Paris March 2024
 
How to use Ai for UX UI Design | ChatGPT
How to use Ai for UX UI Design | ChatGPTHow to use Ai for UX UI Design | ChatGPT
How to use Ai for UX UI Design | ChatGPT
 

Ontology dojo presentation eia 18 workshop take away

  • 1. Ontology Dojo Using an Ontological Mindset to Solve IA Problems Name: Height: Weight: Age:
  • 2. Hello…Metadata Please • Last IA/Industry Book Read • Favorite Ice Cream flavor/Dessert • Favorite city to travel to
  • 3. Ben reads bookthe Grammatical Structure Matters Bens lasīja grāmatu Heluheluʻo Ben i ka puk About Language
  • 4. Ontology and the Development Life Cycle Need ProductRequirements Design/ Architecture Engineering Development Test/ Validation House • 3 Bedroom • 2 Bath • Home Office • 1 Story Inspection
  • 5. Ontology and the Development Life Cycle Need ProductRequirements Design/ Architecture Engineering Development Test/ Validation Wine Website Inspection • Wine Varieties • Find Information • Common language to exchange information • XML • RDF • OWL • NEO4j • SPARQL Concept Map Entity Relationship Diagram
  • 6. What is Ontology? • Philosophical study of being and reality • “Ontology” has taken on two meanings: • Classical Ontology (a study of philosophy focused on the nature of being) • Modern Applied Ontology (Using ontological theory to describe things to facilitate the design of information systems) Ontology is a deliberate method of characterization
  • 8. History of Ontology Parmenides Plato & Tom GruberJean Paul Sartre Study of Existence Concrete vs Abstract Applied
  • 9. From Classical to Modern Applied Ontology • Describe things and their relationships to other things • Model and document things • Facilitate finding things and sharing information Prove and describe existence of things. Classical Modern
  • 10. Modern Ontologies • Highest Level • “Metaontology” • Rosetta Stone Upper Level • Scoped by a topic • “Unique” Language (Controlled Vocabulary)Domain • Mix of Upper Level and Domain • Usually very technicalHybrid
  • 12. The Building Blocks of Ontology Objects Predicates Attributes Name: Height: Weight: Age: Domains Class
  • 13. Limits must be placed on what is examined “The ontology of…” Domains
  • 14. Ontology IA/UX Comp Sci Business Library Science BOLO Domain Scope Domain Scope • Subject • Topic • Verticals • Stove Pipes Domains
  • 16. Domains The purpose of _________________________is to ____________________________ so that___________________________
  • 17. Domains The purpose of the ______________Ontology is to ____________________________ so that___________________________ Michigan Wine Show the relationships between wines varieties users can discover the wine varieties they like
  • 18. Domains Narrow or Broad? • Cruise Ship Entertainment • Gardening Techniques • Dog Breeds
  • 19. Objects The difference between nothing and being
  • 20. Ontology IA/UX Comp Sci Business Library Science BOLO • Being • Object • Object • Artifact • Object • Entity • Vertex Entity Object Artifact • Object • Artifact • Nouns • Product • Things • Concepts Objects
  • 21. • Interactions • Organization • Life Cycle • Ownership • Identification • Attributes • Concrete • Abstract Type Description RelationshipsGovernance Objects
  • 22. Concrete • Does not have to be something you “touch” • Concrete objects can take action • Adheres to the laws of physics • Much easier to communicate and describe to others Objects
  • 23. Abstract • May have to “invent” physics • Harder to describe due to perspective • May not be able to take action • Often reuse terms and concepts we are familiar with. Objects
  • 24. On the edges • Virtual objects can be hard to categorize • May be a matter of perspective • Interaction between abstract and concrete objects can be interesting Citizens United v. FEC (2010) Objects
  • 25. Objects Concrete or Abstract? • The Empire State Building • 2021 EIA Summit • YouTube (The website)
  • 26. The actions among things Predicates
  • 27. Ontology IA/UX Comp Sci Business Library Science BOLO • Predicate • Link • Relationship • Link • Predicate • Edge • Relationship • Link • Relationship • Link • Rule • Constraint • Action Predicates
  • 28. Ben reads bookthe Action of one object on another Predicates
  • 29. Ben reads book the Action of one object on another Predicates
  • 31. IS A TYPE OF Animal Invertebrate Insect Crustacean Vertebrate Mammal Reptile Uses • Taxonomies • Card Sorting • Affinity Diagrams • Concept Map Hypernym Hyponym Predicates
  • 32. IS PART OF Uses • Site Map • Content Inventory • Venn Diagram • Card Sort • Concept Map • Affinity Diagram Meronym Meronym Meronym Holonym Predicates
  • 33. IS PART OF Example Part Type (1) The handle is part of the mug. Physical (2) The remote control is part of the stereo system. Collection (3) The left half is your part of the cake. Portion (4) The cutlery is part of the tableware. Set (5) The contents of this bag is only part of what I bought. Unrelated Collection (6) That area is part of the living room. Spatial (7) The outermost points are part of the perimeter. Location (8) The first act was the best part of the play. Temporal Different Types of Parts Predicates
  • 34. Synonym/Antinym IS LIKE Uses • Thesaurus • Controlled Vocabulary • Card Sort • Concept Map • Affinity Diagram
  • 35. TAXONOMIES CONCEPT MAPS SITE MAPS AFFINITY MAPPING/ CARD SORTS Look for the lines Predicates Predicates are Everywhere
  • 37. • Try to use predefined/ established predicates • May have to create abstract objects • Make a legend/directory of your predicates Is a Type of Is a Part of Is Like Is not Like Is a Type of Is a Part of Is Like Is not Like Purchases Reviews Creates Predicates Other Predicates
  • 38. • Try to use predefined/ established predicates • May have to create abstract objects • Make a legend/directory of your predicates Tammy Pez Friend of Predicates Other Predicates
  • 39. • Try to use predefined/ established predicates • May have to create abstract objects • Make a legend/directory of your predicates Tammy PezTammy Pez Friend- ship Predicates Other Predicates
  • 44. Name: Height: Weight: Age: “Metadata liberates us, liberates knowledge.” David Weinberger Attributes
  • 45. Ontology IA/UX Comp Sci Business Library Science BOLO Attributes • Attributes • Metadata • Attributes • Properties • Metadata • Metadata • Properties • Metadata • Characteristics • Descriptor • Descriptive data • Associative data • Adjectives/adverbs Name: Height: Weight: Age: Attributes
  • 46. • Captures characteristics • Almost endless data points can be captured…know the scope of your project • Attributes/Metadata has evolved tremendously over past 20 years Name: Height: Weight: Age: Make: MG Model: TD Midget Body Style: Convertible Color: Lt Brown Era: Vintage Make: MG Model: TD Midget Height: 53” Length: 145” Width: 59” Make: MG Model: TD Midget Website: www.mg.co.uk Description: The MG T series is a range of body-on- frame convertible sports cars that were… Video: Attributes
  • 48. Name: Height: Weight: Age: UNIQUE IDENTIFIERS Prefix Object Type OBJ General Object PSN Persona TAX Taxonomy PRD Predicate OBJ-38 TAX-04 Attributes
  • 50. Ontology IA/UX Comp Sci Business Library Science BOLO Class • Class • Group • Collection • Category • Class • Group • Collection • Class • Group • Collection • Category • Class • Subject • Schema • Taxon • Type Classes
  • 51. • When several object share one or more non- identifying attributes, they may makeup a class • Sales Manager is the class in the example • The more attributes that match, the more specific the class (North American Sales Manager NAME: Alan Moore OCCUPATION: Sales Manager LOCATION: North America SALARY: $88,000 NAME: Sara Whatley OCCUPATION: Sales Manager LOCATION: South America SALARY: $93,000 NAME: Torey Joliet OCCUPATION: Sales Manager LOCATION: North America SALARY: $82,000 Classes
  • 52. “To be or not to be” “I think therefore I am” “The definition of ‘is,’ is” Class/Predicate/Attribute Pitfalls
  • 53. Mammal Is a type of A Cat Maria Mammal Is a type ofClass Instance Is a Class/Predicate/Attribute Pitfalls
  • 54. Product Clothes Pants Shirts North Face Solar Plaid Tools Hand Hammer Craftsman Power Impact Power Class/Predicate/Attribute Pitfalls
  • 57. Is a Part ofIs a Type of HIERARCHIES (TAXONOMIES, SITE MAPS, AFFINITY DIAGRAMS) Object Object Object Object Object ObjectObject Object Predicates (Is a Type of) (Is a Part of) • Try to use one predicate type per diagram • Mix predicates vertically Deliverables
  • 58. PERSONAS (ORGANAS, SPEC SHEETS….) SusanThe Administrator Location: Apps: iControl NetView HRBase Basic Intranet Admin Stats ~~~: xxxxxxx ~~~: xxxx ~~~: xxxxx Description: Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nullam suscipit lacus sit amet eros vehicula sagittis. In in sapien turpis. Donec risus nisi, bibendum id tristique non, rutrum vitae. Availability: Content Knowledge: Training: Investment: P-12.AB20 Deliverables
  • 59. SusanThe Administrator Location: Apps: iControl NetView HRBase Basic Intranet Admin Stats ~~~: xxxxxxx ~~~: xxxx ~~~: xxxxx Description: Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nullam suscipit lacus sit amet eros vehicula sagittis. In in sapien turpis. Donec risus nisi, bibendum id tristique non, rutrum vitae. Availability: Content Knowledge: Training: Investment: P-12.AB20 CLASS GLOBAL METADATA CLASS METADATA ID PERSONAS (ORGANAS, SPEC SHEETS….) Deliverables
  • 60. CONCEPT MAPS Title (Domain) Is a Part of Is a Type of Uses Object Object Object Object Object Predicate Predicate Predicate Predicate Predicate Attributes Attributes Attributes Attributes Attributes Class Deliverables
  • 61. Is a Part of Is a Type of Uses System ToolsAdministrator Anchorage Office iControl XYZ Corp’s Intranet HRBase NetView Personnel (Persona) (Taxonomy) (UI Wireframe) P-12.AB20 CONCEPT MAPS—TYING IT ALL TOGETHER Deliverables
  • 63. Object/Predicate UX/UI Tammy PezTammy Pez Friend- ship Profile UI Friendship UI Experience Interactions
  • 64. Low Fidelity • Initial Design • Rapid Design • Presentation Sketching Tools Sticky Notes/Paper Listing Tools Tools and Technologies
  • 65. High Fidelity • Capture Metadata/Predicates/Classes • Actionable ( Development Ready) Designs • Record Keeping Mind Mapping CAD Tools and Technologies
  • 66. • Extensible Markup Language (XML) • Unified Modeling Language (UML) • Ontological Web Language (OWL) • Resource Description Framework (RDF) Tools and Technologies
  • 67. Goal: Complete a series of activities that simulate ontological thinking and the creation of an ontology to solve a complex IA problem. Problem we are solving: We are building a website or application for a diverse group of conference visitors to Dublin in 2018, and need to make a wide variety of transportation options, and their interplay, clear Ontological Thinking Activity
  • 70. Mapping out a model of the complex system will help us understand how to best situate and plan our website within the already complex Dublin Transit ecosystem. Mapping out this ecosystem will also allow us to have a shared vocabulary around stakeholders, users, inputs, outputs, integrations, and relationships between these entities, leading to more clear shared communication on project goals and complexities. Ecosystem Model
  • 71. Ecosystem Example: Duke University Press
  • 72. STEP 1: List out all possible objects
  • 73. Objects are nodes in a complex system. Think of any noun you might use when talking about transit in Dublin. They can be: • People / Roles • Groups • Organizations & Agencies • Places • Artifacts • Payment types Pro-Tip: group all like items on the same color Post – it – ie: all people are blue, all systems green. Objects Rail Car Sharing Organizer Attendee Aircoach Taxi Bus Luas Trains Leap Card Permit MyTaxi
  • 74. • Looking at your Wikipedia articles, pull out: • Objects (nouns) • Classes (categories you need to call out) • If time - Attributes (Adjectives) • Generate other objects you know to be true but are not in the Wikipedia article (see the article co-chairs put together, personal experience) • Write on your post its – remember, ideally each class should have it’s own color • Ren & Jess walk around and answer questions • 15 minutes to do this Finding your Objects
  • 75. STEP 2: Map out Objects on the wall
  • 78. Predicates are typically verbs and prepositions that show relationships between objects. Examples include: • Is a part of • Is a type of • Is like • Serves • Purchases Remember: Keep your predicates streamlined, uniform, and minimal. Predicates
  • 79. STEP 4: Move Objects around before adding Predicates
  • 80. STEP 5: Sketch in Predicates
  • 81. It’s ok for your Predicates to be messy at this stage
  • 82. Group sharing and conversation: 1. Describe your progress & approach 2. Challenges 3. Open Questions 4. Reflections Sharing
  • 83. Ready to go out and CLASS First Round of Ontology Dojo
  • 84. • What do you do with it once you're done? • Solving the initial ask… how does this help us actually make the website now? • Deriving sitemaps, taxonomies, user journeys from this ontology • How could you start to do some organization with this? Sitemaps? Would different table have different sitemaps? Why? • Methods of output and application • XML vs. UML vs. OWL vs. RDF - would be nice to see a chart comparing these • Tools of the Trade • CMAP • Excel • Other Software -(ie: Visio, Omnigraffle) • Taxobank Now What?
  • 85. • Books, Blogs, Training, Events • Carrie Hane & Mike Atherton: Designing Connected Content • Carrie Hane – Connected Content @IAS 2018 • Kat King - Personal Ontology Maps @IAS 2018 • Ontology Worksheet • https://ubwp.buffalo.edu/ncor/training-and-education/ • Stanford on Parthood • Ontology • Upper Ontology • How to follow up with questions • Ren: @info_do • Jess: jess@rs21.io Additional Resources
  • 86. Sources • http://www.imdb.com/title/tt0087538/?ref_=ttmd_md_nm • https://upload.wikimedia.org/wikipedia/commons/e/ed/Parmenides.jpg • https://upload.wikimedia.org/wikipedia/commons/4/4a/Plato-raphael.jpg • https://www.flickr.com/photos/government_press_office/6470403371/ • https://upload.wikimedia.org/wikipedia/commons/6/6e/Golde33443.jpg • https://upload.wikimedia.org/wikipedia/commons/2/24/George_Washingt on_Bridge_from_New_Jersey-edit.jpg
  • 87. • http://library.corporate- ir.net/library/17/176/176060/mediaitems/93/a.com_logo_RGB.jpg • https://commons.wikimedia.org/wiki/File:Title_page_William_Shakes peare%27s_First_Folio_1623.jpg • https://commons.wikimedia.org/wiki/File:Frans_Hals_- _Portret_van_Ren%C3%A9_Descartes.jpg • https://commons.wikimedia.org/wiki/File:44_Bill_Clinton_3x4.jpg • http://www.visualthesaurus.com/ • http://cmap.ihmc.us/docs/theory-of-concept-maps

Hinweis der Redaktion

  1. The description of a subject (The Ontology of…) A methodology to incorporate into other practices A set of tools to describe things and relationships
  2. Want to explain that the broader the scope the more you want to borrow.
  3. Concrete vs abstract from Sarte’s being and nothingness Relationship – Organization i.e. how the object is ordered and arrayed with an organization of objects within a domain
  4. AS FROM THE PERSPECTIVE OF THE IA (ABSTRACT FOCUSES ON VIRTUAL/CYBER) Physics: There can only be one, can’t be in two places at once
  5. Physics: There can only be one, can’t be in two places at once
  6. Physics: There can only be one, can’t be in two places at once
  7. Want to explain that the broader the scope the more you want to borrow.
  8. Want to show axes between objects
  9. http://plato.stanford.edu/entries/mereology/
  10. http://www.visualthesaurus.com/
  11. http://www.visualthesaurus.com/