SlideShare a Scribd company logo
1 of 16
Download to read offline
Knowledge Elicitation
Concept Sorting
Knowledge Elicitation (Introduction)
• Knowledge Elicitation is the process of acquiring knowledge about a
specific domain.
• It is one of the most important and a crucial task of the development of an
expert system since it directly has an impact on the overall quality of the
system.
• Knowledge elicitation is also often viewed as the bottleneck in the
development of expert systems or knowledge based systems as it is difficult
and time consuming activity.
• Among various known Knowledge Elicitation techniques available choice to
be used depends on the nature of the situation within which the
knowledge is elicited, the domain knowledge and availability of experts.
Knowledge Elicitation (Introduction) Cont…
• Knowledge Elicitation process gets tricky as the vast amount of information
is often kept inside the heads of domain experts.
• This makes the entire process complicated as the domain experts may not
be willing to disclose the information, due to worries of being sidelined or
becoming less important or getting redundant.
• There are various techniques used in the Knowledge Elicitation process :
• Interview
• Protocol Analysis
• Laddering
• Concept Sorting (Will be discussing)
• Repertory Grid
• Structural Assessment
When to use which technique?
• For Knowledge identification
• Unstructured interview, laddering
• For Knowledge specification
• Domain schema: Concept Sorting, repertory grid
• Template selection: self report
• Task & inference knowledge: self report
• For Knowledge Refinement
• Structured interview
What is Concept Sorting ?
• Concept sorting is a psychological technique that is useful in tapping
organization knowledge.
• It a way of finding out how an expert compares, orders concepts and relates
among a set of concepts.
• Used to capture conceptual knowledge and tacit knowledge.
• Can also sort objects or pictures instead of cards
• It works best on small group.
• Simple to apply
• Its is also Called Card Sorting.
• Simplest form is Concept Sorting
• Collection of concepts (or other knowledge objects) are written on separate cards
• Cards sorted into piles by an expert in to piles - each card in a pile must have something
in common
• Each time the cards are sorted it will be based on an attribute and each pile will
represent a value
Concept Sorting – How To ?
• To apply this technique , the KE follows the following steps:
1- First , KE Decide what classes of concepts he/she want to explore
(in particular their properties – attributes and values).
2- Consults a textbook, training manual, or in-house domain expert to
identify the major top-level concepts represented in the domain.
3- Place write the name of each concept on a separate note card .
4- Next, the KE asks the domain expert to begin sorting these cards
placing them in groups according to those that belong together.
5- As the domain expert sorts the cards the KE uses questioning
techniques to determine why they are placed together.
6- Repeat steps 4, and 5 until the expert can’t sort anymore
Example 1: Classification based of Habitat
Star
Fish
Bear
Cat Shark
Deer
Seahorse
Crab
Crocodile
Frog
Elephant
Dolphin
Example 1: Classification based of Habitat
Cont…
Dolphin
Aquatic Animals
ns
Terrestrial Animal
Star
Fish
Bear
Cat
Shark
Elephant
Deer
Seahorse
Crab
Crocodile
Frog
Amphibia
Card Habitat Size Eating Habit Vertebrate / Invertebrate
Mammals/
Non Mammals
Elephant 1 3 1 1 1
Cat 1 1 3 1 1
Deer 1 2 1 1 1
Bear 1 3 3 1 1
Crab 2 1 2 2 2
Crocodile 2 3 2 1 2
Frog 2 1 2 1 2
Dolphin 3 2 3 2 1
Starfish 3 1 3 2 2
Sea Horse 3 1 3 1 2
Shark 3 3 2 1 2
1-Teresstrial 1-Small 1-Herbivorous 1-Vertebrate 1-Mammals
2- Amphibia 2-Medium 2-Carnivorous 2-Invertebrate 2-Non-mammal
3-Aquatic 3-Large 3-Omnivorous
Example 2
• The Number of 15 models of cars may be grouped into two categories named “Foreign"
and “Domestic
• Then re-sorted into three categories; “Sedan" , “Hatchback", and “Sports";
• Then re-sorted into four categories; " Expensive Domestic", " Less Expensive Domestic",
" Expensive Foreign", “Less Expensive Foreign“.
• A hierarchy tree may be created expressing the group categories as levels within the
hierarchy.
Based on Cost
Based on Design and
Performance
Based on Design and
Performance
Based on Cost
Example 2 Cont…
Domestic
Cars
Foreign
Less Expensive
Expensive SedanHatchback Sports
Less Expensive
ExpensiveSedanHatchback Sports
Application of Concept Sorting
• Concept sorting is basically used in several disciplines like
- Knowledge Engineering
- Psychology
- Marketing etc.
Pros and Cons
• Pros
• Fast to apply and easy to analyze
• Often instructive to the expert in a sense that it may lead expert to see
structure that he himself has not consciously articulated before
• Time saving by not having to transcribe and analyze lengthy verbal reports
• Can be used for images and objects as well
Pros and Cons Cont…
• Cons
• Experts can often confound dimensions by not consistently applying the same
semantic distinctions throughout an elicitation session
• May face problem in categorization of elements in meaningful way
Conclusion
• Card Sorting techniques provide a means of achieving a more focused
or systematic understanding of the classifications and relationships in
the expert's domain.
Reference
http://liris.cnrs.fr/amille/enseignements/MasterCode/IC_IA/Session1_
2008/commonkads/06-km-process.ppt
http://www.cse.aucegypt.edu/~rafea/csce485es/slides/ch.10.pdf
http://studentnet.cs.manchester.ac.uk/ugt/COMP34512/slides/day2.p
df
http://academic.cankaya.edu.tr/~agorur/AI/lect/knowledge.html

More Related Content

What's hot

Deep Learning A-Z™: Artificial Neural Networks (ANN) - Module 1
Deep Learning A-Z™: Artificial Neural Networks (ANN) - Module 1Deep Learning A-Z™: Artificial Neural Networks (ANN) - Module 1
Deep Learning A-Z™: Artificial Neural Networks (ANN) - Module 1Kirill Eremenko
 
MULTIMEDIA COMMUNICATION & NETWORKS
MULTIMEDIA COMMUNICATION & NETWORKSMULTIMEDIA COMMUNICATION & NETWORKS
MULTIMEDIA COMMUNICATION & NETWORKSKathirvel Ayyaswamy
 
SSL & TLS Architecture short
SSL & TLS Architecture shortSSL & TLS Architecture short
SSL & TLS Architecture shortAvirot Mitamura
 
Backpropagation in RNN and LSTM
Backpropagation in RNN and LSTMBackpropagation in RNN and LSTM
Backpropagation in RNN and LSTMHimanshuSingh1370
 
Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...
Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...
Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...Simplilearn
 
Machine Learning Unit 1 Semester 3 MSc IT Part 2 Mumbai University
Machine Learning Unit 1 Semester 3  MSc IT Part 2 Mumbai UniversityMachine Learning Unit 1 Semester 3  MSc IT Part 2 Mumbai University
Machine Learning Unit 1 Semester 3 MSc IT Part 2 Mumbai UniversityMadhav Mishra
 
Fundamentals.of.embedded.software. .where.c.and.assembly.meet.-.daniel.w.lewi...
Fundamentals.of.embedded.software. .where.c.and.assembly.meet.-.daniel.w.lewi...Fundamentals.of.embedded.software. .where.c.and.assembly.meet.-.daniel.w.lewi...
Fundamentals.of.embedded.software. .where.c.and.assembly.meet.-.daniel.w.lewi...smuto55
 
Data Integration and Transformation in Data mining
Data Integration and Transformation in Data miningData Integration and Transformation in Data mining
Data Integration and Transformation in Data miningkavitha muneeshwaran
 
Expert System With Python -1
Expert System With Python -1Expert System With Python -1
Expert System With Python -1Ahmad Hussein
 
Machine Learning Unit 4 Semester 3 MSc IT Part 2 Mumbai University
Machine Learning Unit 4 Semester 3  MSc IT Part 2 Mumbai UniversityMachine Learning Unit 4 Semester 3  MSc IT Part 2 Mumbai University
Machine Learning Unit 4 Semester 3 MSc IT Part 2 Mumbai UniversityMadhav Mishra
 
Transposition cipher
Transposition cipherTransposition cipher
Transposition cipherAntony Alex
 
ML Zoomcamp 2.1 - Car Price Prediction Project
ML Zoomcamp 2.1 - Car Price Prediction ProjectML Zoomcamp 2.1 - Car Price Prediction Project
ML Zoomcamp 2.1 - Car Price Prediction ProjectAlexey Grigorev
 
Introduction to Cryptography
Introduction to CryptographyIntroduction to Cryptography
Introduction to CryptographyPopescu Petre
 
2.4 rule based classification
2.4 rule based classification2.4 rule based classification
2.4 rule based classificationKrish_ver2
 

What's hot (20)

Deep Learning A-Z™: Artificial Neural Networks (ANN) - Module 1
Deep Learning A-Z™: Artificial Neural Networks (ANN) - Module 1Deep Learning A-Z™: Artificial Neural Networks (ANN) - Module 1
Deep Learning A-Z™: Artificial Neural Networks (ANN) - Module 1
 
Gate maths
Gate mathsGate maths
Gate maths
 
MULTIMEDIA COMMUNICATION & NETWORKS
MULTIMEDIA COMMUNICATION & NETWORKSMULTIMEDIA COMMUNICATION & NETWORKS
MULTIMEDIA COMMUNICATION & NETWORKS
 
SSL & TLS Architecture short
SSL & TLS Architecture shortSSL & TLS Architecture short
SSL & TLS Architecture short
 
Backpropagation in RNN and LSTM
Backpropagation in RNN and LSTMBackpropagation in RNN and LSTM
Backpropagation in RNN and LSTM
 
Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...
Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...
Random Forest Algorithm - Random Forest Explained | Random Forest In Machine ...
 
Machine Learning Unit 1 Semester 3 MSc IT Part 2 Mumbai University
Machine Learning Unit 1 Semester 3  MSc IT Part 2 Mumbai UniversityMachine Learning Unit 1 Semester 3  MSc IT Part 2 Mumbai University
Machine Learning Unit 1 Semester 3 MSc IT Part 2 Mumbai University
 
Fundamentals.of.embedded.software. .where.c.and.assembly.meet.-.daniel.w.lewi...
Fundamentals.of.embedded.software. .where.c.and.assembly.meet.-.daniel.w.lewi...Fundamentals.of.embedded.software. .where.c.and.assembly.meet.-.daniel.w.lewi...
Fundamentals.of.embedded.software. .where.c.and.assembly.meet.-.daniel.w.lewi...
 
Anomaly detection
Anomaly detectionAnomaly detection
Anomaly detection
 
Ghhh
GhhhGhhh
Ghhh
 
CNS - Unit - 4 - Public Key Cryptosystem
CNS - Unit - 4 - Public Key Cryptosystem CNS - Unit - 4 - Public Key Cryptosystem
CNS - Unit - 4 - Public Key Cryptosystem
 
Overfitting and-tbl
Overfitting and-tblOverfitting and-tbl
Overfitting and-tbl
 
Data Integration and Transformation in Data mining
Data Integration and Transformation in Data miningData Integration and Transformation in Data mining
Data Integration and Transformation in Data mining
 
Expert System With Python -1
Expert System With Python -1Expert System With Python -1
Expert System With Python -1
 
Machine Learning Unit 4 Semester 3 MSc IT Part 2 Mumbai University
Machine Learning Unit 4 Semester 3  MSc IT Part 2 Mumbai UniversityMachine Learning Unit 4 Semester 3  MSc IT Part 2 Mumbai University
Machine Learning Unit 4 Semester 3 MSc IT Part 2 Mumbai University
 
Transposition cipher
Transposition cipherTransposition cipher
Transposition cipher
 
ML Zoomcamp 2.1 - Car Price Prediction Project
ML Zoomcamp 2.1 - Car Price Prediction ProjectML Zoomcamp 2.1 - Car Price Prediction Project
ML Zoomcamp 2.1 - Car Price Prediction Project
 
Introduction to Cryptography
Introduction to CryptographyIntroduction to Cryptography
Introduction to Cryptography
 
Symmetric Key Algorithm
Symmetric Key AlgorithmSymmetric Key Algorithm
Symmetric Key Algorithm
 
2.4 rule based classification
2.4 rule based classification2.4 rule based classification
2.4 rule based classification
 

Similar to Knowledge Elicitation Techiniques Concept Sorting

Concept Sorting in Knowledge Elicitation
Concept Sorting in Knowledge ElicitationConcept Sorting in Knowledge Elicitation
Concept Sorting in Knowledge ElicitationAdarshaDhakal
 
Jeff Lopez - To Affinity and Beyond
Jeff Lopez - To Affinity and BeyondJeff Lopez - To Affinity and Beyond
Jeff Lopez - To Affinity and BeyondAgile Impact
 
!#$&()&#+,$)!#$$&())• +,-.$0$12,#-34-$#3.docx
!#$&()&#+,$)!#$$&())• +,-.$0$12,#-34-$#3.docx!#$&()&#+,$)!#$$&())• +,-.$0$12,#-34-$#3.docx
!#$&()&#+,$)!#$$&())• +,-.$0$12,#-34-$#3.docxkatherncarlyle
 
Game Design 2: Expert Evaluation of User Interfaces
Game Design 2: Expert Evaluation of User InterfacesGame Design 2: Expert Evaluation of User Interfaces
Game Design 2: Expert Evaluation of User InterfacesDavid Farrell
 
Information Architecture. Card Sorting
Information Architecture. Card SortingInformation Architecture. Card Sorting
Information Architecture. Card SortingDCU_MPIUA
 
KAI, the Information Specialist
KAI, the Information SpecialistKAI, the Information Specialist
KAI, the Information Specialistaik762
 
Introduction to Machine Learning
Introduction to Machine LearningIntroduction to Machine Learning
Introduction to Machine LearningRahul Jain
 
Team dynamics: The Joys and Sorrows of Diverse Teams by Rebecca Parsons, CTO,...
Team dynamics: The Joys and Sorrows of Diverse Teams by Rebecca Parsons, CTO,...Team dynamics: The Joys and Sorrows of Diverse Teams by Rebecca Parsons, CTO,...
Team dynamics: The Joys and Sorrows of Diverse Teams by Rebecca Parsons, CTO,...Thoughtworks
 
Using an Agile Inception to Kick Off a Project
Using an Agile Inception to Kick Off a ProjectUsing an Agile Inception to Kick Off a Project
Using an Agile Inception to Kick Off a ProjectVictor Bonacci
 
eSource Stakeholders Group 18mar2016
eSource Stakeholders Group  18mar2016eSource Stakeholders Group  18mar2016
eSource Stakeholders Group 18mar2016Michael Ibara
 
Managing your Metadata w/ SharePoint 2010
Managing your Metadata w/ SharePoint 2010Managing your Metadata w/ SharePoint 2010
Managing your Metadata w/ SharePoint 2010vman916
 
Requirements Management Part 1 - Management and Elicitation
Requirements Management Part 1 - Management and ElicitationRequirements Management Part 1 - Management and Elicitation
Requirements Management Part 1 - Management and ElicitationMohamed Shaaban
 

Similar to Knowledge Elicitation Techiniques Concept Sorting (20)

Concept Sorting in Knowledge Elicitation
Concept Sorting in Knowledge ElicitationConcept Sorting in Knowledge Elicitation
Concept Sorting in Knowledge Elicitation
 
2004 06 intelligence analysis seminar
2004 06 intelligence analysis seminar2004 06 intelligence analysis seminar
2004 06 intelligence analysis seminar
 
Chapter 03km
Chapter 03kmChapter 03km
Chapter 03km
 
Jeff Lopez - To Affinity and Beyond
Jeff Lopez - To Affinity and BeyondJeff Lopez - To Affinity and Beyond
Jeff Lopez - To Affinity and Beyond
 
Jeff Lopez - To Affinity and Beyond
Jeff Lopez - To Affinity and BeyondJeff Lopez - To Affinity and Beyond
Jeff Lopez - To Affinity and Beyond
 
!#$&()&#+,$)!#$$&())• +,-.$0$12,#-34-$#3.docx
!#$&()&#+,$)!#$$&())• +,-.$0$12,#-34-$#3.docx!#$&()&#+,$)!#$$&())• +,-.$0$12,#-34-$#3.docx
!#$&()&#+,$)!#$$&())• +,-.$0$12,#-34-$#3.docx
 
Game Design 2: Expert Evaluation of User Interfaces
Game Design 2: Expert Evaluation of User InterfacesGame Design 2: Expert Evaluation of User Interfaces
Game Design 2: Expert Evaluation of User Interfaces
 
Information Architecture. Card Sorting
Information Architecture. Card SortingInformation Architecture. Card Sorting
Information Architecture. Card Sorting
 
Expert systems
Expert systemsExpert systems
Expert systems
 
KAI, the Information Specialist
KAI, the Information SpecialistKAI, the Information Specialist
KAI, the Information Specialist
 
Lecture - Data Mining
Lecture - Data MiningLecture - Data Mining
Lecture - Data Mining
 
Introduction to Machine Learning
Introduction to Machine LearningIntroduction to Machine Learning
Introduction to Machine Learning
 
data analysis.ppt
data analysis.pptdata analysis.ppt
data analysis.ppt
 
data analysis.pptx
data analysis.pptxdata analysis.pptx
data analysis.pptx
 
The Art of Project Estimation
The Art of Project EstimationThe Art of Project Estimation
The Art of Project Estimation
 
Team dynamics: The Joys and Sorrows of Diverse Teams by Rebecca Parsons, CTO,...
Team dynamics: The Joys and Sorrows of Diverse Teams by Rebecca Parsons, CTO,...Team dynamics: The Joys and Sorrows of Diverse Teams by Rebecca Parsons, CTO,...
Team dynamics: The Joys and Sorrows of Diverse Teams by Rebecca Parsons, CTO,...
 
Using an Agile Inception to Kick Off a Project
Using an Agile Inception to Kick Off a ProjectUsing an Agile Inception to Kick Off a Project
Using an Agile Inception to Kick Off a Project
 
eSource Stakeholders Group 18mar2016
eSource Stakeholders Group  18mar2016eSource Stakeholders Group  18mar2016
eSource Stakeholders Group 18mar2016
 
Managing your Metadata w/ SharePoint 2010
Managing your Metadata w/ SharePoint 2010Managing your Metadata w/ SharePoint 2010
Managing your Metadata w/ SharePoint 2010
 
Requirements Management Part 1 - Management and Elicitation
Requirements Management Part 1 - Management and ElicitationRequirements Management Part 1 - Management and Elicitation
Requirements Management Part 1 - Management and Elicitation
 

Recently uploaded

High Profile Call Girls Nashik Megha 7001305949 Independent Escort Service Na...
High Profile Call Girls Nashik Megha 7001305949 Independent Escort Service Na...High Profile Call Girls Nashik Megha 7001305949 Independent Escort Service Na...
High Profile Call Girls Nashik Megha 7001305949 Independent Escort Service Na...Call Girls in Nagpur High Profile
 
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By  Team Orange (Dept. of Pharmacy)Software Development Life Cycle By  Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)Suman Mia
 
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxIntroduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxupamatechverse
 
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCollege Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCall Girls in Nagpur High Profile
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024Mark Billinghurst
 
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICSHARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICSRajkumarAkumalla
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVRajaP95
 
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxProcessing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxpranjaldaimarysona
 
ZXCTN 5804 / ZTE PTN / ZTE POTN / ZTE 5804 PTN / ZTE POTN 5804 ( 100/200 GE Z...
ZXCTN 5804 / ZTE PTN / ZTE POTN / ZTE 5804 PTN / ZTE POTN 5804 ( 100/200 GE Z...ZXCTN 5804 / ZTE PTN / ZTE POTN / ZTE 5804 PTN / ZTE POTN 5804 ( 100/200 GE Z...
ZXCTN 5804 / ZTE PTN / ZTE POTN / ZTE 5804 PTN / ZTE POTN 5804 ( 100/200 GE Z...ZTE
 
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Serviceranjana rawat
 
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur EscortsCall Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur EscortsCall Girls in Nagpur High Profile
 
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile servicerehmti665
 
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130Suhani Kapoor
 
Introduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptxIntroduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptxupamatechverse
 
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptxIntroduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptxupamatechverse
 
Internship report on mechanical engineering
Internship report on mechanical engineeringInternship report on mechanical engineering
Internship report on mechanical engineeringmalavadedarshan25
 
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝soniya singh
 
Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxCoefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxAsutosh Ranjan
 
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escortsranjana rawat
 

Recently uploaded (20)

High Profile Call Girls Nashik Megha 7001305949 Independent Escort Service Na...
High Profile Call Girls Nashik Megha 7001305949 Independent Escort Service Na...High Profile Call Girls Nashik Megha 7001305949 Independent Escort Service Na...
High Profile Call Girls Nashik Megha 7001305949 Independent Escort Service Na...
 
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By  Team Orange (Dept. of Pharmacy)Software Development Life Cycle By  Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
 
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxIntroduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptx
 
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCollege Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024
 
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICSHARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
 
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxProcessing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptx
 
ZXCTN 5804 / ZTE PTN / ZTE POTN / ZTE 5804 PTN / ZTE POTN 5804 ( 100/200 GE Z...
ZXCTN 5804 / ZTE PTN / ZTE POTN / ZTE 5804 PTN / ZTE POTN 5804 ( 100/200 GE Z...ZXCTN 5804 / ZTE PTN / ZTE POTN / ZTE 5804 PTN / ZTE POTN 5804 ( 100/200 GE Z...
ZXCTN 5804 / ZTE PTN / ZTE POTN / ZTE 5804 PTN / ZTE POTN 5804 ( 100/200 GE Z...
 
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
 
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur EscortsCall Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
 
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile service
 
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
 
Introduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptxIntroduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptx
 
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptxIntroduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
 
Internship report on mechanical engineering
Internship report on mechanical engineeringInternship report on mechanical engineering
Internship report on mechanical engineering
 
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
 
Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxCoefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptx
 
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
 
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCRCall Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
 

Knowledge Elicitation Techiniques Concept Sorting

  • 2. Knowledge Elicitation (Introduction) • Knowledge Elicitation is the process of acquiring knowledge about a specific domain. • It is one of the most important and a crucial task of the development of an expert system since it directly has an impact on the overall quality of the system. • Knowledge elicitation is also often viewed as the bottleneck in the development of expert systems or knowledge based systems as it is difficult and time consuming activity. • Among various known Knowledge Elicitation techniques available choice to be used depends on the nature of the situation within which the knowledge is elicited, the domain knowledge and availability of experts.
  • 3. Knowledge Elicitation (Introduction) Cont… • Knowledge Elicitation process gets tricky as the vast amount of information is often kept inside the heads of domain experts. • This makes the entire process complicated as the domain experts may not be willing to disclose the information, due to worries of being sidelined or becoming less important or getting redundant. • There are various techniques used in the Knowledge Elicitation process : • Interview • Protocol Analysis • Laddering • Concept Sorting (Will be discussing) • Repertory Grid • Structural Assessment
  • 4. When to use which technique? • For Knowledge identification • Unstructured interview, laddering • For Knowledge specification • Domain schema: Concept Sorting, repertory grid • Template selection: self report • Task & inference knowledge: self report • For Knowledge Refinement • Structured interview
  • 5. What is Concept Sorting ? • Concept sorting is a psychological technique that is useful in tapping organization knowledge. • It a way of finding out how an expert compares, orders concepts and relates among a set of concepts. • Used to capture conceptual knowledge and tacit knowledge. • Can also sort objects or pictures instead of cards • It works best on small group. • Simple to apply • Its is also Called Card Sorting. • Simplest form is Concept Sorting • Collection of concepts (or other knowledge objects) are written on separate cards • Cards sorted into piles by an expert in to piles - each card in a pile must have something in common • Each time the cards are sorted it will be based on an attribute and each pile will represent a value
  • 6. Concept Sorting – How To ? • To apply this technique , the KE follows the following steps: 1- First , KE Decide what classes of concepts he/she want to explore (in particular their properties – attributes and values). 2- Consults a textbook, training manual, or in-house domain expert to identify the major top-level concepts represented in the domain. 3- Place write the name of each concept on a separate note card . 4- Next, the KE asks the domain expert to begin sorting these cards placing them in groups according to those that belong together. 5- As the domain expert sorts the cards the KE uses questioning techniques to determine why they are placed together. 6- Repeat steps 4, and 5 until the expert can’t sort anymore
  • 7. Example 1: Classification based of Habitat Star Fish Bear Cat Shark Deer Seahorse Crab Crocodile Frog Elephant Dolphin
  • 8. Example 1: Classification based of Habitat Cont… Dolphin Aquatic Animals ns Terrestrial Animal Star Fish Bear Cat Shark Elephant Deer Seahorse Crab Crocodile Frog Amphibia
  • 9. Card Habitat Size Eating Habit Vertebrate / Invertebrate Mammals/ Non Mammals Elephant 1 3 1 1 1 Cat 1 1 3 1 1 Deer 1 2 1 1 1 Bear 1 3 3 1 1 Crab 2 1 2 2 2 Crocodile 2 3 2 1 2 Frog 2 1 2 1 2 Dolphin 3 2 3 2 1 Starfish 3 1 3 2 2 Sea Horse 3 1 3 1 2 Shark 3 3 2 1 2 1-Teresstrial 1-Small 1-Herbivorous 1-Vertebrate 1-Mammals 2- Amphibia 2-Medium 2-Carnivorous 2-Invertebrate 2-Non-mammal 3-Aquatic 3-Large 3-Omnivorous
  • 10. Example 2 • The Number of 15 models of cars may be grouped into two categories named “Foreign" and “Domestic • Then re-sorted into three categories; “Sedan" , “Hatchback", and “Sports"; • Then re-sorted into four categories; " Expensive Domestic", " Less Expensive Domestic", " Expensive Foreign", “Less Expensive Foreign“. • A hierarchy tree may be created expressing the group categories as levels within the hierarchy.
  • 11. Based on Cost Based on Design and Performance Based on Design and Performance Based on Cost Example 2 Cont… Domestic Cars Foreign Less Expensive Expensive SedanHatchback Sports Less Expensive ExpensiveSedanHatchback Sports
  • 12. Application of Concept Sorting • Concept sorting is basically used in several disciplines like - Knowledge Engineering - Psychology - Marketing etc.
  • 13. Pros and Cons • Pros • Fast to apply and easy to analyze • Often instructive to the expert in a sense that it may lead expert to see structure that he himself has not consciously articulated before • Time saving by not having to transcribe and analyze lengthy verbal reports • Can be used for images and objects as well
  • 14. Pros and Cons Cont… • Cons • Experts can often confound dimensions by not consistently applying the same semantic distinctions throughout an elicitation session • May face problem in categorization of elements in meaningful way
  • 15. Conclusion • Card Sorting techniques provide a means of achieving a more focused or systematic understanding of the classifications and relationships in the expert's domain.