SlideShare ist ein Scribd-Unternehmen logo
1 von 16
OWL 2.0 Primer
Classes, Properties, and Individuals
 Contents
• Basic Notions
• Classes, Properties, Individuals & basic
modeling with them

OWL 2.0

2
 Basic Notions
• OWL2 is a knowledge representation language.
Axioms: the basic statements that an OWL ontology expresses.

Entities: elements used to refer to real-world objects.

Expressions: combinations of entities to form complex descriptions
from basic ones

OWL 2.0

3
1. Mary and John are married.
2. Mary is female.

Axioms

individuals

properties

married

classes

Entities

Mary, John

female

Female professor

Expressions

Entity

+

Entity

female

OWL 2.0

+

professor

4
 Classes and Instances(Individuals)
An individual named Mary and states this
individual is a person

Functional-Style Syntax

RDF-XML Syntax
<owl:Class rdf:ID=“Person”/>

ClassAssertion( :Person :Mary)

1.<owl:Thing rdf:ID=“Mary”/>
<owl:Thing rdf:about=“Mary”>
<rdf:type rdf:resource=“#Person”>
</owl:Thing>
2.<Person rdf:ID=“Mary”/>

OWL 2.0

5
 Class Hierarchies
Every individual which is specified as an instance
of the class Woman is also an instance of the
class Person as well.

Functional-Style Syntax

RDF-XML Syntax
<owl:Class rdf:ID=“Woman”/>

SubClassOf( :Mother :Woman)

<owl:Class rdf:ID=“Mother”>
<rdfs:subClassOf rdf:resource=“#Woman”/>
</owl:Class>

OWL 2.0

6
 Class Hierarchies
Every instance of the class Person is also an
instance of class Human, and vice versa.

Functional-Style Syntax

RDF-XML Syntax
<owl:Class rdf:ID=“Human”/>

EquivalentClasses( :Person :Human )

<owl:Class rdf:ID=“Person”>
<owl:equivalentClass rdf:resource=“#Human”/>
</owl:Class>

OWL 2.0

7
 Class Disjointness
Incompatibility relationship between class of
Woman and Man.

Functional-Style Syntax

RDF-XML Syntax
<owl:Class rdf:ID=“Man”/>

DisjointClasses( :Woman :Man)

<owl:Class rdf:ID=“Woman”>
<owl:disjointWith rdf:resource=“#Man”/>
</owl:Class>

OWL 2.0

8
 Object Properties
John

hasWife

Mary

Mary is John’s wife

Functional-Style Syntax

RDF-XML Syntax
<Person rdf:ID=“Mary”/>

ObjectPropertyAssertion( :hasWife :John :Mary)

<Person rdf:ID=“John”>
<hasWife rdf:resource=“#Mary”/>
</Person>

OWL 2.0

9
 Property Hierarchies
Whenever B is known to be A’s wife, it is also
known to be A’s spouse.

Functional-Style Syntax

SubObjectPropertyOf( :hasWife :hasSpouse )

RDF-XML Syntax
<owl:ObjectProperty rdf:ID=“hasWife”>
<rdfs:subPropertyOf rdf:resource=“#hasSpouse”/>
…
…
</owl:ObjectProperty>

OWL 2.0

10
 Domain and Range Restrictions
B is the wife of A obviously implies that B is a
woman and A is a man.

Functional-Style Syntax

RDF-XML Syntax
<owl:Class rdf:ID=“Man”/>
<owl:Class rdf:ID=“Woman”/>

ObjectPropertyDomain( :hasWife :Man )
ObjectPropertyRange( :hasWife :Woman )

<owl:ObjectProperty rdf:ID=“hasWife”>
<rdfs:domain rdf:resource=“#Man”/>
<rdfs:range rdf:resource=“#Woman”/>
</owl:ObjectProperty>

OWL 2.0

11
 Equality and Inequality of Individuals
John and Bill are not the same individuals.
James and Jim are the same individuals.

Functional-Style Syntax

RDF-XML Syntax

1.DifferentIndividuals( :John :Bill )

<Man rdf:ID=“John”>
<owl:differentFrom rdf:resource=“#Bill”/>
</Man>

2.SameIndividual( :James :Jim )

<Man rdf:ID=“James”>
<owl:sameAs rdf:resource=“#Jim”/>
</Man>

OWL 2.0

12
 Datatypes
John’s age is 51

Functional-Style Syntax

RDF-XML Syntax
<Man rdf:ID=“John”>
<hasAge rdf:datatype=“&xsd;integer”>51</hasAge>
</Man>

DataPropertyAssertion( :hasAge :John “51”^^xsd:integer )

OWL 2.0

13
 Domain and range of Datatypes
Domain and range of datatypeproperty

Functional-Style Syntax

RDF-XML Syntax

DataPropertyDomain( :hasAge :Person )
DataPropertyRange( :hasAge xsd:nonNegativeInteger )

OWL 2.0

<owl:DatatypeProperty rdf:ID=“hasAge”>
<rdfs:domain rdf:resource=“Person”/>
<rdfs:range
rdf:resource=“&xsd;nonNegativeInteger”/>
</owl:DatatypeProperty>

14
Protégé 3.4.4

Protégé 4.1 beta

OWL 2.0

15
Q&A
OWL 2.0

16

Weitere ähnliche Inhalte

Mehr von GUANGYUAN PIAO

Env2Vec: Accelerating VNF Testing with Deep Learning
Env2Vec: Accelerating VNF Testing with Deep LearningEnv2Vec: Accelerating VNF Testing with Deep Learning
Env2Vec: Accelerating VNF Testing with Deep LearningGUANGYUAN PIAO
 
Domain-Aware Sentiment Classification with GRUs and CNNs
Domain-Aware Sentiment Classification with GRUs and CNNsDomain-Aware Sentiment Classification with GRUs and CNNs
Domain-Aware Sentiment Classification with GRUs and CNNsGUANGYUAN PIAO
 
A Study of the Similarities of Entity Embeddings Learned from Different Aspec...
A Study of the Similarities of Entity Embeddings Learned from Different Aspec...A Study of the Similarities of Entity Embeddings Learned from Different Aspec...
A Study of the Similarities of Entity Embeddings Learned from Different Aspec...GUANGYUAN PIAO
 
Retweet Prediction with Attention-based Deep Neural Network
Retweet Prediction with Attention-based Deep Neural NetworkRetweet Prediction with Attention-based Deep Neural Network
Retweet Prediction with Attention-based Deep Neural NetworkGUANGYUAN PIAO
 
WISE2017 - Factorization Machines Leveraging Lightweight Linked Open Data-ena...
WISE2017 - Factorization Machines Leveraging Lightweight Linked Open Data-ena...WISE2017 - Factorization Machines Leveraging Lightweight Linked Open Data-ena...
WISE2017 - Factorization Machines Leveraging Lightweight Linked Open Data-ena...GUANGYUAN PIAO
 
Hypertext2017-Leveraging Followee List Memberships for Inferring User Interes...
Hypertext2017-Leveraging Followee List Memberships for Inferring User Interes...Hypertext2017-Leveraging Followee List Memberships for Inferring User Interes...
Hypertext2017-Leveraging Followee List Memberships for Inferring User Interes...GUANGYUAN PIAO
 
ECIR2017-Inferring User Interests for Passive Users on Twitter by Leveraging ...
ECIR2017-Inferring User Interests for Passive Users on Twitter by Leveraging ...ECIR2017-Inferring User Interests for Passive Users on Twitter by Leveraging ...
ECIR2017-Inferring User Interests for Passive Users on Twitter by Leveraging ...GUANGYUAN PIAO
 
EKAW2016 - Interest Representation, Enrichment, Dynamics, and Propagation: A ...
EKAW2016 - Interest Representation, Enrichment, Dynamics, and Propagation: A ...EKAW2016 - Interest Representation, Enrichment, Dynamics, and Propagation: A ...
EKAW2016 - Interest Representation, Enrichment, Dynamics, and Propagation: A ...GUANGYUAN PIAO
 
SEMANTiCS2016 - Exploring Dynamics and Semantics of User Interests for User ...
SEMANTiCS2016 - Exploring Dynamics and Semantics of User Interests for User ...SEMANTiCS2016 - Exploring Dynamics and Semantics of User Interests for User ...
SEMANTiCS2016 - Exploring Dynamics and Semantics of User Interests for User ...GUANGYUAN PIAO
 
UMAP2016EA - Analyzing MOOC Entries of Professionals on LinkedIn for User Mod...
UMAP2016EA - Analyzing MOOC Entries of Professionals on LinkedIn for User Mod...UMAP2016EA - Analyzing MOOC Entries of Professionals on LinkedIn for User Mod...
UMAP2016EA - Analyzing MOOC Entries of Professionals on LinkedIn for User Mod...GUANGYUAN PIAO
 
UMAP2016 - Analyzing Aggregated Semantics-enabled User Modeling on Google+ an...
UMAP2016 - Analyzing Aggregated Semantics-enabled User Modeling on Google+ an...UMAP2016 - Analyzing Aggregated Semantics-enabled User Modeling on Google+ an...
UMAP2016 - Analyzing Aggregated Semantics-enabled User Modeling on Google+ an...GUANGYUAN PIAO
 
SAC2016-Measuring Semantic Distance for Linked Open Data-enabled Recommender ...
SAC2016-Measuring Semantic Distance for Linked Open Data-enabled Recommender ...SAC2016-Measuring Semantic Distance for Linked Open Data-enabled Recommender ...
SAC2016-Measuring Semantic Distance for Linked Open Data-enabled Recommender ...GUANGYUAN PIAO
 
JIST2015-Computing the Semantic Similarity of Resources in DBpedia for Recomm...
JIST2015-Computing the Semantic Similarity of Resources in DBpedia for Recomm...JIST2015-Computing the Semantic Similarity of Resources in DBpedia for Recomm...
JIST2015-Computing the Semantic Similarity of Resources in DBpedia for Recomm...GUANGYUAN PIAO
 
JIST2015-data challenge
JIST2015-data challengeJIST2015-data challenge
JIST2015-data challengeGUANGYUAN PIAO
 
Analyzing User Modeling on Twitter for Personalized News Recommendations
Analyzing User Modeling on Twitter for Personalized News RecommendationsAnalyzing User Modeling on Twitter for Personalized News Recommendations
Analyzing User Modeling on Twitter for Personalized News RecommendationsGUANGYUAN PIAO
 

Mehr von GUANGYUAN PIAO (19)

Env2Vec: Accelerating VNF Testing with Deep Learning
Env2Vec: Accelerating VNF Testing with Deep LearningEnv2Vec: Accelerating VNF Testing with Deep Learning
Env2Vec: Accelerating VNF Testing with Deep Learning
 
Domain-Aware Sentiment Classification with GRUs and CNNs
Domain-Aware Sentiment Classification with GRUs and CNNsDomain-Aware Sentiment Classification with GRUs and CNNs
Domain-Aware Sentiment Classification with GRUs and CNNs
 
A Study of the Similarities of Entity Embeddings Learned from Different Aspec...
A Study of the Similarities of Entity Embeddings Learned from Different Aspec...A Study of the Similarities of Entity Embeddings Learned from Different Aspec...
A Study of the Similarities of Entity Embeddings Learned from Different Aspec...
 
Retweet Prediction with Attention-based Deep Neural Network
Retweet Prediction with Attention-based Deep Neural NetworkRetweet Prediction with Attention-based Deep Neural Network
Retweet Prediction with Attention-based Deep Neural Network
 
WISE2017 - Factorization Machines Leveraging Lightweight Linked Open Data-ena...
WISE2017 - Factorization Machines Leveraging Lightweight Linked Open Data-ena...WISE2017 - Factorization Machines Leveraging Lightweight Linked Open Data-ena...
WISE2017 - Factorization Machines Leveraging Lightweight Linked Open Data-ena...
 
Hypertext2017-Leveraging Followee List Memberships for Inferring User Interes...
Hypertext2017-Leveraging Followee List Memberships for Inferring User Interes...Hypertext2017-Leveraging Followee List Memberships for Inferring User Interes...
Hypertext2017-Leveraging Followee List Memberships for Inferring User Interes...
 
ECIR2017-Inferring User Interests for Passive Users on Twitter by Leveraging ...
ECIR2017-Inferring User Interests for Passive Users on Twitter by Leveraging ...ECIR2017-Inferring User Interests for Passive Users on Twitter by Leveraging ...
ECIR2017-Inferring User Interests for Passive Users on Twitter by Leveraging ...
 
EKAW2016 - Interest Representation, Enrichment, Dynamics, and Propagation: A ...
EKAW2016 - Interest Representation, Enrichment, Dynamics, and Propagation: A ...EKAW2016 - Interest Representation, Enrichment, Dynamics, and Propagation: A ...
EKAW2016 - Interest Representation, Enrichment, Dynamics, and Propagation: A ...
 
SEMANTiCS2016 - Exploring Dynamics and Semantics of User Interests for User ...
SEMANTiCS2016 - Exploring Dynamics and Semantics of User Interests for User ...SEMANTiCS2016 - Exploring Dynamics and Semantics of User Interests for User ...
SEMANTiCS2016 - Exploring Dynamics and Semantics of User Interests for User ...
 
UMAP2016EA - Analyzing MOOC Entries of Professionals on LinkedIn for User Mod...
UMAP2016EA - Analyzing MOOC Entries of Professionals on LinkedIn for User Mod...UMAP2016EA - Analyzing MOOC Entries of Professionals on LinkedIn for User Mod...
UMAP2016EA - Analyzing MOOC Entries of Professionals on LinkedIn for User Mod...
 
UMAP2016 - Analyzing Aggregated Semantics-enabled User Modeling on Google+ an...
UMAP2016 - Analyzing Aggregated Semantics-enabled User Modeling on Google+ an...UMAP2016 - Analyzing Aggregated Semantics-enabled User Modeling on Google+ an...
UMAP2016 - Analyzing Aggregated Semantics-enabled User Modeling on Google+ an...
 
SAC2016-Measuring Semantic Distance for Linked Open Data-enabled Recommender ...
SAC2016-Measuring Semantic Distance for Linked Open Data-enabled Recommender ...SAC2016-Measuring Semantic Distance for Linked Open Data-enabled Recommender ...
SAC2016-Measuring Semantic Distance for Linked Open Data-enabled Recommender ...
 
JIST2015-Computing the Semantic Similarity of Resources in DBpedia for Recomm...
JIST2015-Computing the Semantic Similarity of Resources in DBpedia for Recomm...JIST2015-Computing the Semantic Similarity of Resources in DBpedia for Recomm...
JIST2015-Computing the Semantic Similarity of Resources in DBpedia for Recomm...
 
JIST2015-data challenge
JIST2015-data challengeJIST2015-data challenge
JIST2015-data challenge
 
Analyzing User Modeling on Twitter for Personalized News Recommendations
Analyzing User Modeling on Twitter for Personalized News RecommendationsAnalyzing User Modeling on Twitter for Personalized News Recommendations
Analyzing User Modeling on Twitter for Personalized News Recommendations
 
RDFa Basics
RDFa BasicsRDFa Basics
RDFa Basics
 
Owl 2.0 Overview
Owl 2.0 OverviewOwl 2.0 Overview
Owl 2.0 Overview
 
OWL2.0 Primer Part02
OWL2.0 Primer Part02OWL2.0 Primer Part02
OWL2.0 Primer Part02
 
Hdd industry
Hdd industryHdd industry
Hdd industry
 

Kürzlich hochgeladen

Real Men Wear Diapers T Shirts sweatshirt
Real Men Wear Diapers T Shirts sweatshirtReal Men Wear Diapers T Shirts sweatshirt
Real Men Wear Diapers T Shirts sweatshirtrahman018755
 
Dubai=Desi Dubai Call Girls O525547819 Outdoor Call Girls Dubai
Dubai=Desi Dubai Call Girls O525547819 Outdoor Call Girls DubaiDubai=Desi Dubai Call Girls O525547819 Outdoor Call Girls Dubai
Dubai=Desi Dubai Call Girls O525547819 Outdoor Call Girls Dubaikojalkojal131
 
➥🔝 7737669865 🔝▻ mehsana Call-girls in Women Seeking Men 🔝mehsana🔝 Escorts...
➥🔝 7737669865 🔝▻ mehsana Call-girls in Women Seeking Men  🔝mehsana🔝   Escorts...➥🔝 7737669865 🔝▻ mehsana Call-girls in Women Seeking Men  🔝mehsana🔝   Escorts...
➥🔝 7737669865 🔝▻ mehsana Call-girls in Women Seeking Men 🔝mehsana🔝 Escorts...nirzagarg
 
2nd Solid Symposium: Solid Pods vs Personal Knowledge Graphs
2nd Solid Symposium: Solid Pods vs Personal Knowledge Graphs2nd Solid Symposium: Solid Pods vs Personal Knowledge Graphs
2nd Solid Symposium: Solid Pods vs Personal Knowledge GraphsEleniIlkou
 
VIP Call Girls Himatnagar 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Himatnagar 7001035870 Whatsapp Number, 24/07 BookingVIP Call Girls Himatnagar 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Himatnagar 7001035870 Whatsapp Number, 24/07 Bookingdharasingh5698
 
WhatsApp 📞 8448380779 ✅Call Girls In Mamura Sector 66 ( Noida)
WhatsApp 📞 8448380779 ✅Call Girls In Mamura Sector 66 ( Noida)WhatsApp 📞 8448380779 ✅Call Girls In Mamura Sector 66 ( Noida)
WhatsApp 📞 8448380779 ✅Call Girls In Mamura Sector 66 ( Noida)Delhi Call girls
 
Katraj ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready For S...
Katraj ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready For S...Katraj ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready For S...
Katraj ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready For S...tanu pandey
 
VVIP Pune Call Girls Sinhagad WhatSapp Number 8005736733 With Elite Staff And...
VVIP Pune Call Girls Sinhagad WhatSapp Number 8005736733 With Elite Staff And...VVIP Pune Call Girls Sinhagad WhatSapp Number 8005736733 With Elite Staff And...
VVIP Pune Call Girls Sinhagad WhatSapp Number 8005736733 With Elite Staff And...SUHANI PANDEY
 
Yerawada ] Independent Escorts in Pune - Book 8005736733 Call Girls Available...
Yerawada ] Independent Escorts in Pune - Book 8005736733 Call Girls Available...Yerawada ] Independent Escorts in Pune - Book 8005736733 Call Girls Available...
Yerawada ] Independent Escorts in Pune - Book 8005736733 Call Girls Available...SUHANI PANDEY
 
All Time Service Available Call Girls Mg Road 👌 ⏭️ 6378878445
All Time Service Available Call Girls Mg Road 👌 ⏭️ 6378878445All Time Service Available Call Girls Mg Road 👌 ⏭️ 6378878445
All Time Service Available Call Girls Mg Road 👌 ⏭️ 6378878445ruhi
 
20240509 QFM015 Engineering Leadership Reading List April 2024.pdf
20240509 QFM015 Engineering Leadership Reading List April 2024.pdf20240509 QFM015 Engineering Leadership Reading List April 2024.pdf
20240509 QFM015 Engineering Leadership Reading List April 2024.pdfMatthew Sinclair
 
APNIC Updates presented by Paul Wilson at ARIN 53
APNIC Updates presented by Paul Wilson at ARIN 53APNIC Updates presented by Paul Wilson at ARIN 53
APNIC Updates presented by Paul Wilson at ARIN 53APNIC
 
"Boost Your Digital Presence: Partner with a Leading SEO Agency"
"Boost Your Digital Presence: Partner with a Leading SEO Agency""Boost Your Digital Presence: Partner with a Leading SEO Agency"
"Boost Your Digital Presence: Partner with a Leading SEO Agency"growthgrids
 
Wagholi & High Class Call Girls Pune Neha 8005736733 | 100% Gennuine High Cla...
Wagholi & High Class Call Girls Pune Neha 8005736733 | 100% Gennuine High Cla...Wagholi & High Class Call Girls Pune Neha 8005736733 | 100% Gennuine High Cla...
Wagholi & High Class Call Girls Pune Neha 8005736733 | 100% Gennuine High Cla...SUHANI PANDEY
 
Al Barsha Night Partner +0567686026 Call Girls Dubai
Al Barsha Night Partner +0567686026 Call Girls  DubaiAl Barsha Night Partner +0567686026 Call Girls  Dubai
Al Barsha Night Partner +0567686026 Call Girls DubaiEscorts Call Girls
 
Shikrapur - Call Girls in Pune Neha 8005736733 | 100% Gennuine High Class Ind...
Shikrapur - Call Girls in Pune Neha 8005736733 | 100% Gennuine High Class Ind...Shikrapur - Call Girls in Pune Neha 8005736733 | 100% Gennuine High Class Ind...
Shikrapur - Call Girls in Pune Neha 8005736733 | 100% Gennuine High Class Ind...SUHANI PANDEY
 
𓀤Call On 7877925207 𓀤 Ahmedguda Call Girls Hot Model With Sexy Bhabi Ready Fo...
𓀤Call On 7877925207 𓀤 Ahmedguda Call Girls Hot Model With Sexy Bhabi Ready Fo...𓀤Call On 7877925207 𓀤 Ahmedguda Call Girls Hot Model With Sexy Bhabi Ready Fo...
𓀤Call On 7877925207 𓀤 Ahmedguda Call Girls Hot Model With Sexy Bhabi Ready Fo...Neha Pandey
 

Kürzlich hochgeladen (20)

Call Girls in Prashant Vihar, Delhi 💯 Call Us 🔝9953056974 🔝 Escort Service
Call Girls in Prashant Vihar, Delhi 💯 Call Us 🔝9953056974 🔝 Escort ServiceCall Girls in Prashant Vihar, Delhi 💯 Call Us 🔝9953056974 🔝 Escort Service
Call Girls in Prashant Vihar, Delhi 💯 Call Us 🔝9953056974 🔝 Escort Service
 
Real Men Wear Diapers T Shirts sweatshirt
Real Men Wear Diapers T Shirts sweatshirtReal Men Wear Diapers T Shirts sweatshirt
Real Men Wear Diapers T Shirts sweatshirt
 
Dubai=Desi Dubai Call Girls O525547819 Outdoor Call Girls Dubai
Dubai=Desi Dubai Call Girls O525547819 Outdoor Call Girls DubaiDubai=Desi Dubai Call Girls O525547819 Outdoor Call Girls Dubai
Dubai=Desi Dubai Call Girls O525547819 Outdoor Call Girls Dubai
 
➥🔝 7737669865 🔝▻ mehsana Call-girls in Women Seeking Men 🔝mehsana🔝 Escorts...
➥🔝 7737669865 🔝▻ mehsana Call-girls in Women Seeking Men  🔝mehsana🔝   Escorts...➥🔝 7737669865 🔝▻ mehsana Call-girls in Women Seeking Men  🔝mehsana🔝   Escorts...
➥🔝 7737669865 🔝▻ mehsana Call-girls in Women Seeking Men 🔝mehsana🔝 Escorts...
 
2nd Solid Symposium: Solid Pods vs Personal Knowledge Graphs
2nd Solid Symposium: Solid Pods vs Personal Knowledge Graphs2nd Solid Symposium: Solid Pods vs Personal Knowledge Graphs
2nd Solid Symposium: Solid Pods vs Personal Knowledge Graphs
 
VIP Call Girls Himatnagar 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Himatnagar 7001035870 Whatsapp Number, 24/07 BookingVIP Call Girls Himatnagar 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Himatnagar 7001035870 Whatsapp Number, 24/07 Booking
 
WhatsApp 📞 8448380779 ✅Call Girls In Mamura Sector 66 ( Noida)
WhatsApp 📞 8448380779 ✅Call Girls In Mamura Sector 66 ( Noida)WhatsApp 📞 8448380779 ✅Call Girls In Mamura Sector 66 ( Noida)
WhatsApp 📞 8448380779 ✅Call Girls In Mamura Sector 66 ( Noida)
 
valsad Escorts Service ☎️ 6378878445 ( Sakshi Sinha ) High Profile Call Girls...
valsad Escorts Service ☎️ 6378878445 ( Sakshi Sinha ) High Profile Call Girls...valsad Escorts Service ☎️ 6378878445 ( Sakshi Sinha ) High Profile Call Girls...
valsad Escorts Service ☎️ 6378878445 ( Sakshi Sinha ) High Profile Call Girls...
 
Katraj ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready For S...
Katraj ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready For S...Katraj ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready For S...
Katraj ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready For S...
 
Russian Call Girls in %(+971524965298 )# Call Girls in Dubai
Russian Call Girls in %(+971524965298  )#  Call Girls in DubaiRussian Call Girls in %(+971524965298  )#  Call Girls in Dubai
Russian Call Girls in %(+971524965298 )# Call Girls in Dubai
 
VVIP Pune Call Girls Sinhagad WhatSapp Number 8005736733 With Elite Staff And...
VVIP Pune Call Girls Sinhagad WhatSapp Number 8005736733 With Elite Staff And...VVIP Pune Call Girls Sinhagad WhatSapp Number 8005736733 With Elite Staff And...
VVIP Pune Call Girls Sinhagad WhatSapp Number 8005736733 With Elite Staff And...
 
Yerawada ] Independent Escorts in Pune - Book 8005736733 Call Girls Available...
Yerawada ] Independent Escorts in Pune - Book 8005736733 Call Girls Available...Yerawada ] Independent Escorts in Pune - Book 8005736733 Call Girls Available...
Yerawada ] Independent Escorts in Pune - Book 8005736733 Call Girls Available...
 
All Time Service Available Call Girls Mg Road 👌 ⏭️ 6378878445
All Time Service Available Call Girls Mg Road 👌 ⏭️ 6378878445All Time Service Available Call Girls Mg Road 👌 ⏭️ 6378878445
All Time Service Available Call Girls Mg Road 👌 ⏭️ 6378878445
 
20240509 QFM015 Engineering Leadership Reading List April 2024.pdf
20240509 QFM015 Engineering Leadership Reading List April 2024.pdf20240509 QFM015 Engineering Leadership Reading List April 2024.pdf
20240509 QFM015 Engineering Leadership Reading List April 2024.pdf
 
APNIC Updates presented by Paul Wilson at ARIN 53
APNIC Updates presented by Paul Wilson at ARIN 53APNIC Updates presented by Paul Wilson at ARIN 53
APNIC Updates presented by Paul Wilson at ARIN 53
 
"Boost Your Digital Presence: Partner with a Leading SEO Agency"
"Boost Your Digital Presence: Partner with a Leading SEO Agency""Boost Your Digital Presence: Partner with a Leading SEO Agency"
"Boost Your Digital Presence: Partner with a Leading SEO Agency"
 
Wagholi & High Class Call Girls Pune Neha 8005736733 | 100% Gennuine High Cla...
Wagholi & High Class Call Girls Pune Neha 8005736733 | 100% Gennuine High Cla...Wagholi & High Class Call Girls Pune Neha 8005736733 | 100% Gennuine High Cla...
Wagholi & High Class Call Girls Pune Neha 8005736733 | 100% Gennuine High Cla...
 
Al Barsha Night Partner +0567686026 Call Girls Dubai
Al Barsha Night Partner +0567686026 Call Girls  DubaiAl Barsha Night Partner +0567686026 Call Girls  Dubai
Al Barsha Night Partner +0567686026 Call Girls Dubai
 
Shikrapur - Call Girls in Pune Neha 8005736733 | 100% Gennuine High Class Ind...
Shikrapur - Call Girls in Pune Neha 8005736733 | 100% Gennuine High Class Ind...Shikrapur - Call Girls in Pune Neha 8005736733 | 100% Gennuine High Class Ind...
Shikrapur - Call Girls in Pune Neha 8005736733 | 100% Gennuine High Class Ind...
 
𓀤Call On 7877925207 𓀤 Ahmedguda Call Girls Hot Model With Sexy Bhabi Ready Fo...
𓀤Call On 7877925207 𓀤 Ahmedguda Call Girls Hot Model With Sexy Bhabi Ready Fo...𓀤Call On 7877925207 𓀤 Ahmedguda Call Girls Hot Model With Sexy Bhabi Ready Fo...
𓀤Call On 7877925207 𓀤 Ahmedguda Call Girls Hot Model With Sexy Bhabi Ready Fo...
 

OWL 2.0 Primer Part01

  • 1. OWL 2.0 Primer Classes, Properties, and Individuals
  • 2.  Contents • Basic Notions • Classes, Properties, Individuals & basic modeling with them OWL 2.0 2
  • 3.  Basic Notions • OWL2 is a knowledge representation language. Axioms: the basic statements that an OWL ontology expresses. Entities: elements used to refer to real-world objects. Expressions: combinations of entities to form complex descriptions from basic ones OWL 2.0 3
  • 4. 1. Mary and John are married. 2. Mary is female. Axioms individuals properties married classes Entities Mary, John female Female professor Expressions Entity + Entity female OWL 2.0 + professor 4
  • 5.  Classes and Instances(Individuals) An individual named Mary and states this individual is a person Functional-Style Syntax RDF-XML Syntax <owl:Class rdf:ID=“Person”/> ClassAssertion( :Person :Mary) 1.<owl:Thing rdf:ID=“Mary”/> <owl:Thing rdf:about=“Mary”> <rdf:type rdf:resource=“#Person”> </owl:Thing> 2.<Person rdf:ID=“Mary”/> OWL 2.0 5
  • 6.  Class Hierarchies Every individual which is specified as an instance of the class Woman is also an instance of the class Person as well. Functional-Style Syntax RDF-XML Syntax <owl:Class rdf:ID=“Woman”/> SubClassOf( :Mother :Woman) <owl:Class rdf:ID=“Mother”> <rdfs:subClassOf rdf:resource=“#Woman”/> </owl:Class> OWL 2.0 6
  • 7.  Class Hierarchies Every instance of the class Person is also an instance of class Human, and vice versa. Functional-Style Syntax RDF-XML Syntax <owl:Class rdf:ID=“Human”/> EquivalentClasses( :Person :Human ) <owl:Class rdf:ID=“Person”> <owl:equivalentClass rdf:resource=“#Human”/> </owl:Class> OWL 2.0 7
  • 8.  Class Disjointness Incompatibility relationship between class of Woman and Man. Functional-Style Syntax RDF-XML Syntax <owl:Class rdf:ID=“Man”/> DisjointClasses( :Woman :Man) <owl:Class rdf:ID=“Woman”> <owl:disjointWith rdf:resource=“#Man”/> </owl:Class> OWL 2.0 8
  • 9.  Object Properties John hasWife Mary Mary is John’s wife Functional-Style Syntax RDF-XML Syntax <Person rdf:ID=“Mary”/> ObjectPropertyAssertion( :hasWife :John :Mary) <Person rdf:ID=“John”> <hasWife rdf:resource=“#Mary”/> </Person> OWL 2.0 9
  • 10.  Property Hierarchies Whenever B is known to be A’s wife, it is also known to be A’s spouse. Functional-Style Syntax SubObjectPropertyOf( :hasWife :hasSpouse ) RDF-XML Syntax <owl:ObjectProperty rdf:ID=“hasWife”> <rdfs:subPropertyOf rdf:resource=“#hasSpouse”/> … … </owl:ObjectProperty> OWL 2.0 10
  • 11.  Domain and Range Restrictions B is the wife of A obviously implies that B is a woman and A is a man. Functional-Style Syntax RDF-XML Syntax <owl:Class rdf:ID=“Man”/> <owl:Class rdf:ID=“Woman”/> ObjectPropertyDomain( :hasWife :Man ) ObjectPropertyRange( :hasWife :Woman ) <owl:ObjectProperty rdf:ID=“hasWife”> <rdfs:domain rdf:resource=“#Man”/> <rdfs:range rdf:resource=“#Woman”/> </owl:ObjectProperty> OWL 2.0 11
  • 12.  Equality and Inequality of Individuals John and Bill are not the same individuals. James and Jim are the same individuals. Functional-Style Syntax RDF-XML Syntax 1.DifferentIndividuals( :John :Bill ) <Man rdf:ID=“John”> <owl:differentFrom rdf:resource=“#Bill”/> </Man> 2.SameIndividual( :James :Jim ) <Man rdf:ID=“James”> <owl:sameAs rdf:resource=“#Jim”/> </Man> OWL 2.0 12
  • 13.  Datatypes John’s age is 51 Functional-Style Syntax RDF-XML Syntax <Man rdf:ID=“John”> <hasAge rdf:datatype=“&xsd;integer”>51</hasAge> </Man> DataPropertyAssertion( :hasAge :John “51”^^xsd:integer ) OWL 2.0 13
  • 14.  Domain and range of Datatypes Domain and range of datatypeproperty Functional-Style Syntax RDF-XML Syntax DataPropertyDomain( :hasAge :Person ) DataPropertyRange( :hasAge xsd:nonNegativeInteger ) OWL 2.0 <owl:DatatypeProperty rdf:ID=“hasAge”> <rdfs:domain rdf:resource=“Person”/> <rdfs:range rdf:resource=“&xsd;nonNegativeInteger”/> </owl:DatatypeProperty> 14
  • 15. Protégé 3.4.4 Protégé 4.1 beta OWL 2.0 15