SlideShare a Scribd company logo
1 of 1
Ontology Language Extension to Support Collaborative Ontology Building ,[object Object],[object Object],[object Object],[object Object],Jie Bao and Vasant Honavar Artificial Intelligence Research Laboratory, Computer Science Department, Iowa State University  Ames IA USA 50010  {baojie,honavar}@cs.iastate.edu   What is it about? Why Package ? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],? Localization vs. Globalization ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Partially vs. AllOrNothing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Hiding vs. Sharing ,[object Object],[object Object],[object Object],[object Object],Organizational vs. Semantic Structure ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Semantics Syntax Package ,[object Object],[object Object],[object Object],Nested Package ,[object Object],[object Object],Entity ,[object Object],[object Object],Scope Limitation Modifier ,[object Object],[object Object],[object Object],[object Object],[object Object],View and Interface ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],POWL/XML POWL/RDF Package <powl:package rdf:ID=“animal&quot;> </powl:package> <powl:package rdf:ID=“GlobalPackage&quot;> </powl:package> <powl:package rdf:ID=“animal&quot;> <owl:Class rdf:ID=“Dog“/> <owl:ObjectProperty rdf:ID=“eats”/> <Dog rdf:ID=“billy”> </powl:package> <powl:package rdf:ID=“animal&quot;> <owl:Class rdf:ID=“Dog“  powl:SLM=“public” /> <owl:ObjectProperty rdf:ID=“eats”  powl:SLM=“protected”  /> <Dog rdf:ID=“billy”  powl:SLM=“private”  > </powl:package> <powl:package rdf:ID=“animal&quot;> <powl:import rdf:resource=“plant”/> (other term definitions…) </powl:package> <powl:view rdf:ID=“life&quot;> <powl:import rdf:resource=“animal”> <powl:import rdf:resource=“plant”> <owl:Class rdf:ID=“Dog“> <owl:equivalentClass rdf:resource=“animal:Dog&quot; /> </owl:Class> </powl:view> <powl:package rdf:ID=“animal&quot;> <powl:package rdf:ID=“myAnimal&quot;> <owl:Class rdf:resource=“Dog”/> </powl:package > </powl:package> <owl:Class rdf:ID=“animal &quot;> <rdfs:subClassOf rdf:resource=  “ powl:Package&quot; /> </owl:Class> powl:Package    owl:Class  powl:GlobalPackage ∈ powl:Package  Class Dog subClassOf restriction(powl: classIn hasValue  (animal)) Property eats_helper powl: instanceIn animal eats_helper ∈ powl:Helper eats_helper ∈ eats. eats_helper  Instance Billy ∈ Dog Billy powl:instanceIn animal Class Dog subClassOf restriction(powl: classPublicIn hasValue(animal)) Property eats_helper powl: instanceProtectedIn animal eats_helper ∈ powl:Helper eats_helper ∈ eats. eats_helper  Instance Billy ∈ Dog Billy powl: instancePrivateIn animal NOTE:  we will use “term inPackage package “ as abbreviations for those axioms  <powl:package rdf:ID=“animal&quot;> <powl:import rdf:resource=“plant”/> </powl:package> (other term definitions…) NOTE: they are different! POWL/XML defined a ‘container’ for other definitions, while POWL/RDF defined a package instance that could be used in other triples. life    View life powl:import animal life powl:import plant Life.Dog inPackage life Life.Dog    animal:Dog myFavoriteAnimal    Interface myFavoriteAnimal powl:import animal myFavoriteAnimal .Dog inPackage myFavoriteAnimal  myFavoriteAnimal .Dog    animal:Dog Animal  ∈ powl:package myAnimal  ∈ powl:package myAnimal nestIn  Animal  Dog inPackage  myAnimal  Helper: powl: nestIn    powl:inPackage Package SLM SLM Importing Importing View View Nested Package Nested  Package Reasoning package or view could answer a  Satisfiable  request if a possible interpretation is found locally; otherwise it will consult the packages and views in its domain.  This research is supported in part by grants from the NSF (0219699) and the NIH(GM 066387) to Vasant Honavar P 1 P 2 public private A Package with multiple interfaces P 1 P 2 P 3 A View can be built upon multiple packages and can be referred to by multiple modules P 1 P 3 P 4 P 2

More Related Content

What's hot

Representing and Reasoning with Modular Ontologies (2007)
Representing and Reasoning with Modular Ontologies (2007)Representing and Reasoning with Modular Ontologies (2007)
Representing and Reasoning with Modular Ontologies (2007)Jie Bao
 
Representing and Reasoning with Modular Ontologies
Representing and Reasoning with Modular OntologiesRepresenting and Reasoning with Modular Ontologies
Representing and Reasoning with Modular OntologiesJie Bao
 
Adapt OWL as a Modular Ontology Language
Adapt OWL as a Modular Ontology LanguageAdapt OWL as a Modular Ontology Language
Adapt OWL as a Modular Ontology LanguageJie Bao
 
A Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies
A Semantic Importing Approach to Knowledge Reuse from Multiple OntologiesA Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies
A Semantic Importing Approach to Knowledge Reuse from Multiple OntologiesJie Bao
 
Chapter2 java oop
Chapter2 java oopChapter2 java oop
Chapter2 java oopsshhzap
 
Divide and Conquer Semantic Web with Modular
Divide and Conquer Semantic Web with ModularDivide and Conquer Semantic Web with Modular
Divide and Conquer Semantic Web with ModularJie Bao
 
SOLID Deconstruction
SOLID DeconstructionSOLID Deconstruction
SOLID DeconstructionKevlin Henney
 
Integration of Domain-Specific and Domain-Independent Ontologies for Colonosc...
Integration of Domain-Specific and Domain-Independent Ontologies for Colonosc...Integration of Domain-Specific and Domain-Independent Ontologies for Colonosc...
Integration of Domain-Specific and Domain-Independent Ontologies for Colonosc...Jie Bao
 
A Distributed Tableau Algorithm for Package-based Description Logics
A Distributed Tableau Algorithm for Package-based Description LogicsA Distributed Tableau Algorithm for Package-based Description Logics
A Distributed Tableau Algorithm for Package-based Description LogicsJie Bao
 
Prolog Programming Language
Prolog Programming  LanguageProlog Programming  Language
Prolog Programming LanguageReham AlBlehid
 
ProLog (Artificial Intelligence) Introduction
ProLog (Artificial Intelligence) IntroductionProLog (Artificial Intelligence) Introduction
ProLog (Artificial Intelligence) Introductionwahab khan
 
Python interview questions
Python interview questionsPython interview questions
Python interview questionsPragati Singh
 
Polymorphism in Python
Polymorphism in Python Polymorphism in Python
Polymorphism in Python Home
 
Most Asked Python Interview Questions
Most Asked Python Interview QuestionsMost Asked Python Interview Questions
Most Asked Python Interview QuestionsShubham Shrimant
 

What's hot (17)

Representing and Reasoning with Modular Ontologies (2007)
Representing and Reasoning with Modular Ontologies (2007)Representing and Reasoning with Modular Ontologies (2007)
Representing and Reasoning with Modular Ontologies (2007)
 
Representing and Reasoning with Modular Ontologies
Representing and Reasoning with Modular OntologiesRepresenting and Reasoning with Modular Ontologies
Representing and Reasoning with Modular Ontologies
 
Adapt OWL as a Modular Ontology Language
Adapt OWL as a Modular Ontology LanguageAdapt OWL as a Modular Ontology Language
Adapt OWL as a Modular Ontology Language
 
A Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies
A Semantic Importing Approach to Knowledge Reuse from Multiple OntologiesA Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies
A Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies
 
Using UML for Ontology construction: a case study in Agriculture
Using UML for Ontology construction: a case study in AgricultureUsing UML for Ontology construction: a case study in Agriculture
Using UML for Ontology construction: a case study in Agriculture
 
Using uml for ontology construction a case study in agriculture
Using uml for ontology construction a case study in agricultureUsing uml for ontology construction a case study in agriculture
Using uml for ontology construction a case study in agriculture
 
Chapter2 java oop
Chapter2 java oopChapter2 java oop
Chapter2 java oop
 
Divide and Conquer Semantic Web with Modular
Divide and Conquer Semantic Web with ModularDivide and Conquer Semantic Web with Modular
Divide and Conquer Semantic Web with Modular
 
SOLID Deconstruction
SOLID DeconstructionSOLID Deconstruction
SOLID Deconstruction
 
PROLOG: Introduction To Prolog
PROLOG: Introduction To PrologPROLOG: Introduction To Prolog
PROLOG: Introduction To Prolog
 
Integration of Domain-Specific and Domain-Independent Ontologies for Colonosc...
Integration of Domain-Specific and Domain-Independent Ontologies for Colonosc...Integration of Domain-Specific and Domain-Independent Ontologies for Colonosc...
Integration of Domain-Specific and Domain-Independent Ontologies for Colonosc...
 
A Distributed Tableau Algorithm for Package-based Description Logics
A Distributed Tableau Algorithm for Package-based Description LogicsA Distributed Tableau Algorithm for Package-based Description Logics
A Distributed Tableau Algorithm for Package-based Description Logics
 
Prolog Programming Language
Prolog Programming  LanguageProlog Programming  Language
Prolog Programming Language
 
ProLog (Artificial Intelligence) Introduction
ProLog (Artificial Intelligence) IntroductionProLog (Artificial Intelligence) Introduction
ProLog (Artificial Intelligence) Introduction
 
Python interview questions
Python interview questionsPython interview questions
Python interview questions
 
Polymorphism in Python
Polymorphism in Python Polymorphism in Python
Polymorphism in Python
 
Most Asked Python Interview Questions
Most Asked Python Interview QuestionsMost Asked Python Interview Questions
Most Asked Python Interview Questions
 

Viewers also liked

อุปกรณ์คอม11
อุปกรณ์คอม11อุปกรณ์คอม11
อุปกรณ์คอม11rangsanzana
 
Thailand E-commerce 2008 Forum2
Thailand E-commerce 2008 Forum2Thailand E-commerce 2008 Forum2
Thailand E-commerce 2008 Forum2Ouizz Saebe
 
Crossmediaal Concepting Horecabedrijf
Crossmediaal Concepting HorecabedrijfCrossmediaal Concepting Horecabedrijf
Crossmediaal Concepting HorecabedrijfJulia Meijvogel
 
S2 3 abhijit das unicef irrad
S2   3 abhijit das unicef irrad S2   3 abhijit das unicef irrad
S2 3 abhijit das unicef irrad Sehgal Foundation
 
Non-Life Insurance in the US, Key Trends and Opportunities to 2016
Non-Life Insurance in the US, Key Trends and Opportunities to 2016Non-Life Insurance in the US, Key Trends and Opportunities to 2016
Non-Life Insurance in the US, Key Trends and Opportunities to 2016ReportsnReports
 
Auto Billing Service
Auto Billing ServiceAuto Billing Service
Auto Billing Servicerobertfcooper
 
Health leaders conference (2)
Health leaders conference (2)Health leaders conference (2)
Health leaders conference (2)eyetech
 
Shopping and automatic billing using rfid technology
Shopping and automatic billing using rfid technologyShopping and automatic billing using rfid technology
Shopping and automatic billing using rfid technologyIAEME Publication
 

Viewers also liked (10)

Abstract example seminar pht 2013
Abstract example seminar pht 2013Abstract example seminar pht 2013
Abstract example seminar pht 2013
 
อุปกรณ์คอม11
อุปกรณ์คอม11อุปกรณ์คอม11
อุปกรณ์คอม11
 
Thailand E-commerce 2008 Forum2
Thailand E-commerce 2008 Forum2Thailand E-commerce 2008 Forum2
Thailand E-commerce 2008 Forum2
 
Crossmediaal Concepting Horecabedrijf
Crossmediaal Concepting HorecabedrijfCrossmediaal Concepting Horecabedrijf
Crossmediaal Concepting Horecabedrijf
 
S2 3 abhijit das unicef irrad
S2   3 abhijit das unicef irrad S2   3 abhijit das unicef irrad
S2 3 abhijit das unicef irrad
 
Jv 2011 Espanol
Jv 2011 EspanolJv 2011 Espanol
Jv 2011 Espanol
 
Non-Life Insurance in the US, Key Trends and Opportunities to 2016
Non-Life Insurance in the US, Key Trends and Opportunities to 2016Non-Life Insurance in the US, Key Trends and Opportunities to 2016
Non-Life Insurance in the US, Key Trends and Opportunities to 2016
 
Auto Billing Service
Auto Billing ServiceAuto Billing Service
Auto Billing Service
 
Health leaders conference (2)
Health leaders conference (2)Health leaders conference (2)
Health leaders conference (2)
 
Shopping and automatic billing using rfid technology
Shopping and automatic billing using rfid technologyShopping and automatic billing using rfid technology
Shopping and automatic billing using rfid technology
 

Similar to Ontology Language Extension to Support Collaborative Ontology Building

Collaborative Ontology Building with Wiki@nt
Collaborative Ontology Building with Wiki@ntCollaborative Ontology Building with Wiki@nt
Collaborative Ontology Building with Wiki@ntJie Bao
 
Formalization and implementation of BFO 2 with a focus on the OWL implementation
Formalization and implementation of BFO 2 with a focus on the OWL implementationFormalization and implementation of BFO 2 with a focus on the OWL implementation
Formalization and implementation of BFO 2 with a focus on the OWL implementationgolpedegato2
 
Object? You Keep Using that Word
Object? You Keep Using that WordObject? You Keep Using that Word
Object? You Keep Using that WordKevlin Henney
 
Semantic IoT Semantic Inter-Operability Practices - Part 1
Semantic IoT Semantic Inter-Operability Practices - Part 1Semantic IoT Semantic Inter-Operability Practices - Part 1
Semantic IoT Semantic Inter-Operability Practices - Part 1iotest
 
Logic Progamming in Perl
Logic Progamming in PerlLogic Progamming in Perl
Logic Progamming in PerlCurtis Poe
 
Towards ubiquitous OWL computing: Simplifying programmatic authoring of and q...
Towards ubiquitous OWL computing: Simplifying programmatic authoring of and q...Towards ubiquitous OWL computing: Simplifying programmatic authoring of and q...
Towards ubiquitous OWL computing: Simplifying programmatic authoring of and q...Hilmar Lapp
 
Tutorial OWL and drug discovery ICBO 2013
Tutorial OWL and drug discovery ICBO 2013Tutorial OWL and drug discovery ICBO 2013
Tutorial OWL and drug discovery ICBO 2013Samuel Croset
 
Research Objects for e-Laboratories
Research Objects for e-LaboratoriesResearch Objects for e-Laboratories
Research Objects for e-LaboratoriesDavid Newman
 
OWL-XML-Summer-School-09
OWL-XML-Summer-School-09OWL-XML-Summer-School-09
OWL-XML-Summer-School-09Duncan Hull
 
A Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies (Po...
A Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies (Po...A Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies (Po...
A Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies (Po...Jie Bao
 
From OBO to OWL and back - building scalable ontologies
From OBO to OWL and back - building scalable ontologiesFrom OBO to OWL and back - building scalable ontologies
From OBO to OWL and back - building scalable ontologiesdosumis
 
Ontology-based data access and semantic mining with Aber-OWL
Ontology-based data access and semantic mining with Aber-OWLOntology-based data access and semantic mining with Aber-OWL
Ontology-based data access and semantic mining with Aber-OWLRobert Hoehndorf
 
From OBO to OWL - a primer
From OBO to OWL - a primerFrom OBO to OWL - a primer
From OBO to OWL - a primerdosumis
 
Java OOPs Concepts.docx
Java OOPs Concepts.docxJava OOPs Concepts.docx
Java OOPs Concepts.docxFredWauyo
 

Similar to Ontology Language Extension to Support Collaborative Ontology Building (20)

Collaborative Ontology Building with Wiki@nt
Collaborative Ontology Building with Wiki@ntCollaborative Ontology Building with Wiki@nt
Collaborative Ontology Building with Wiki@nt
 
Formalization and implementation of BFO 2 with a focus on the OWL implementation
Formalization and implementation of BFO 2 with a focus on the OWL implementationFormalization and implementation of BFO 2 with a focus on the OWL implementation
Formalization and implementation of BFO 2 with a focus on the OWL implementation
 
Object? You Keep Using that Word
Object? You Keep Using that WordObject? You Keep Using that Word
Object? You Keep Using that Word
 
Semantic IoT Semantic Inter-Operability Practices - Part 1
Semantic IoT Semantic Inter-Operability Practices - Part 1Semantic IoT Semantic Inter-Operability Practices - Part 1
Semantic IoT Semantic Inter-Operability Practices - Part 1
 
Logic Progamming in Perl
Logic Progamming in PerlLogic Progamming in Perl
Logic Progamming in Perl
 
Towards ubiquitous OWL computing: Simplifying programmatic authoring of and q...
Towards ubiquitous OWL computing: Simplifying programmatic authoring of and q...Towards ubiquitous OWL computing: Simplifying programmatic authoring of and q...
Towards ubiquitous OWL computing: Simplifying programmatic authoring of and q...
 
Owl Pizza Eg2004
Owl Pizza Eg2004Owl Pizza Eg2004
Owl Pizza Eg2004
 
Tutorial OWL and drug discovery ICBO 2013
Tutorial OWL and drug discovery ICBO 2013Tutorial OWL and drug discovery ICBO 2013
Tutorial OWL and drug discovery ICBO 2013
 
Tutorial 1-Ontologies
Tutorial 1-OntologiesTutorial 1-Ontologies
Tutorial 1-Ontologies
 
Research Objects for e-Laboratories
Research Objects for e-LaboratoriesResearch Objects for e-Laboratories
Research Objects for e-Laboratories
 
OWL-XML-Summer-School-09
OWL-XML-Summer-School-09OWL-XML-Summer-School-09
OWL-XML-Summer-School-09
 
A Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies (Po...
A Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies (Po...A Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies (Po...
A Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies (Po...
 
eureka09
eureka09eureka09
eureka09
 
eureka09
eureka09eureka09
eureka09
 
From OBO to OWL and back - building scalable ontologies
From OBO to OWL and back - building scalable ontologiesFrom OBO to OWL and back - building scalable ontologies
From OBO to OWL and back - building scalable ontologies
 
Ontology-based data access and semantic mining with Aber-OWL
Ontology-based data access and semantic mining with Aber-OWLOntology-based data access and semantic mining with Aber-OWL
Ontology-based data access and semantic mining with Aber-OWL
 
From OBO to OWL - a primer
From OBO to OWL - a primerFrom OBO to OWL - a primer
From OBO to OWL - a primer
 
PYTHON PPT.pptx
PYTHON PPT.pptxPYTHON PPT.pptx
PYTHON PPT.pptx
 
Java OOPs Concepts.docx
Java OOPs Concepts.docxJava OOPs Concepts.docx
Java OOPs Concepts.docx
 
Ontology engineering
Ontology engineering Ontology engineering
Ontology engineering
 

More from Jie Bao

python-graph-lovestory
python-graph-lovestorypython-graph-lovestory
python-graph-lovestoryJie Bao
 
unix toolbox 中文版
unix toolbox 中文版unix toolbox 中文版
unix toolbox 中文版Jie Bao
 
unixtoolbox.book
unixtoolbox.bookunixtoolbox.book
unixtoolbox.bookJie Bao
 
Lean startup 精益创业 新创企业的成长思维
Lean startup 精益创业 新创企业的成长思维Lean startup 精益创业 新创企业的成长思维
Lean startup 精益创业 新创企业的成长思维Jie Bao
 
Towards social webtops using semantic wiki
Towards social webtops using semantic wikiTowards social webtops using semantic wiki
Towards social webtops using semantic wikiJie Bao
 
Semantic information theory in 20 minutes
Semantic information theory in 20 minutesSemantic information theory in 20 minutes
Semantic information theory in 20 minutesJie Bao
 
Towards a theory of semantic communication
Towards a theory of semantic communicationTowards a theory of semantic communication
Towards a theory of semantic communicationJie Bao
 
Expressive Query Answering For Semantic Wikis (20min)
Expressive Query Answering For  Semantic Wikis (20min)Expressive Query Answering For  Semantic Wikis (20min)
Expressive Query Answering For Semantic Wikis (20min)Jie Bao
 
Startup best practices
Startup best practicesStartup best practices
Startup best practicesJie Bao
 
Owl 2 quick reference card a4 size
Owl 2 quick reference card a4 sizeOwl 2 quick reference card a4 size
Owl 2 quick reference card a4 sizeJie Bao
 
ISWC 2010 Metadata Work Summary
ISWC 2010 Metadata Work SummaryISWC 2010 Metadata Work Summary
ISWC 2010 Metadata Work SummaryJie Bao
 
Expressive Query Answering For Semantic Wikis
Expressive Query Answering For  Semantic WikisExpressive Query Answering For  Semantic Wikis
Expressive Query Answering For Semantic WikisJie Bao
 
24 Ways to Explore ISWC 2010 Data
24 Ways to Explore ISWC 2010 Data24 Ways to Explore ISWC 2010 Data
24 Ways to Explore ISWC 2010 DataJie Bao
 
Semantic Web: In Quest for the Next Generation Killer Apps
Semantic Web: In Quest for the Next Generation Killer AppsSemantic Web: In Quest for the Next Generation Killer Apps
Semantic Web: In Quest for the Next Generation Killer AppsJie Bao
 
Representing financial reports on the semantic web a faithful translation f...
Representing financial reports on the semantic web   a faithful translation f...Representing financial reports on the semantic web   a faithful translation f...
Representing financial reports on the semantic web a faithful translation f...Jie Bao
 
XACML 3.0 (Partial) Concept Map
XACML 3.0 (Partial) Concept MapXACML 3.0 (Partial) Concept Map
XACML 3.0 (Partial) Concept MapJie Bao
 
Development of a Controlled Natural Language Interface for Semantic MediaWiki
Development of a Controlled Natural Language Interface for Semantic MediaWikiDevelopment of a Controlled Natural Language Interface for Semantic MediaWiki
Development of a Controlled Natural Language Interface for Semantic MediaWikiJie Bao
 
Digital image self-adaptive acquisition in medical x-ray imaging
Digital image self-adaptive acquisition in medical x-ray imagingDigital image self-adaptive acquisition in medical x-ray imaging
Digital image self-adaptive acquisition in medical x-ray imagingJie Bao
 
Privacy-Preserving Reasoning on the Semantic Web (Poster)
Privacy-Preserving Reasoning on the Semantic Web (Poster)Privacy-Preserving Reasoning on the Semantic Web (Poster)
Privacy-Preserving Reasoning on the Semantic Web (Poster)Jie Bao
 

More from Jie Bao (20)

python-graph-lovestory
python-graph-lovestorypython-graph-lovestory
python-graph-lovestory
 
unix toolbox 中文版
unix toolbox 中文版unix toolbox 中文版
unix toolbox 中文版
 
unixtoolbox.book
unixtoolbox.bookunixtoolbox.book
unixtoolbox.book
 
Lean startup 精益创业 新创企业的成长思维
Lean startup 精益创业 新创企业的成长思维Lean startup 精益创业 新创企业的成长思维
Lean startup 精益创业 新创企业的成长思维
 
Towards social webtops using semantic wiki
Towards social webtops using semantic wikiTowards social webtops using semantic wiki
Towards social webtops using semantic wiki
 
Semantic information theory in 20 minutes
Semantic information theory in 20 minutesSemantic information theory in 20 minutes
Semantic information theory in 20 minutes
 
Towards a theory of semantic communication
Towards a theory of semantic communicationTowards a theory of semantic communication
Towards a theory of semantic communication
 
Expressive Query Answering For Semantic Wikis (20min)
Expressive Query Answering For  Semantic Wikis (20min)Expressive Query Answering For  Semantic Wikis (20min)
Expressive Query Answering For Semantic Wikis (20min)
 
Startup best practices
Startup best practicesStartup best practices
Startup best practices
 
Owl 2 quick reference card a4 size
Owl 2 quick reference card a4 sizeOwl 2 quick reference card a4 size
Owl 2 quick reference card a4 size
 
ISWC 2010 Metadata Work Summary
ISWC 2010 Metadata Work SummaryISWC 2010 Metadata Work Summary
ISWC 2010 Metadata Work Summary
 
Expressive Query Answering For Semantic Wikis
Expressive Query Answering For  Semantic WikisExpressive Query Answering For  Semantic Wikis
Expressive Query Answering For Semantic Wikis
 
CV
CVCV
CV
 
24 Ways to Explore ISWC 2010 Data
24 Ways to Explore ISWC 2010 Data24 Ways to Explore ISWC 2010 Data
24 Ways to Explore ISWC 2010 Data
 
Semantic Web: In Quest for the Next Generation Killer Apps
Semantic Web: In Quest for the Next Generation Killer AppsSemantic Web: In Quest for the Next Generation Killer Apps
Semantic Web: In Quest for the Next Generation Killer Apps
 
Representing financial reports on the semantic web a faithful translation f...
Representing financial reports on the semantic web   a faithful translation f...Representing financial reports on the semantic web   a faithful translation f...
Representing financial reports on the semantic web a faithful translation f...
 
XACML 3.0 (Partial) Concept Map
XACML 3.0 (Partial) Concept MapXACML 3.0 (Partial) Concept Map
XACML 3.0 (Partial) Concept Map
 
Development of a Controlled Natural Language Interface for Semantic MediaWiki
Development of a Controlled Natural Language Interface for Semantic MediaWikiDevelopment of a Controlled Natural Language Interface for Semantic MediaWiki
Development of a Controlled Natural Language Interface for Semantic MediaWiki
 
Digital image self-adaptive acquisition in medical x-ray imaging
Digital image self-adaptive acquisition in medical x-ray imagingDigital image self-adaptive acquisition in medical x-ray imaging
Digital image self-adaptive acquisition in medical x-ray imaging
 
Privacy-Preserving Reasoning on the Semantic Web (Poster)
Privacy-Preserving Reasoning on the Semantic Web (Poster)Privacy-Preserving Reasoning on the Semantic Web (Poster)
Privacy-Preserving Reasoning on the Semantic Web (Poster)
 

Recently uploaded

TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 

Recently uploaded (20)

TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 

Ontology Language Extension to Support Collaborative Ontology Building

  • 1.