SlideShare ist ein Scribd-Unternehmen logo
1 von 34
 
Modeling and Representing Trust Relations in Semantic Web-Driven Social Networks: An Ontological Analysis   Nima dokoohaki Royal Institute of Technology, Stockholm,  June 2007
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Semantic web ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Adopted from “ The Semantic Web: A Guide to the Future of XML, Web Services, and Knowledge Management ” – Daconta et al., 2003 Structure XML Schema Security and Identity Inference Engine DAML+OIL,OWL RDF/RDF Schema Reasoning and Proof Higher Semantics Semantics Trust Syntax Data XML Domain NameSpace Intelligent Domain Applications and Services
Importance of trust in semantic web ,[object Object],[object Object],[object Object],[object Object],[object Object]
Trust Definition ,[object Object],[object Object],[object Object]
Trust properties ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Trust properties contd. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Social Networks ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Semantic Social Networks  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Foaf: A framework ,a vocabulary and an ontology ,[object Object],[object Object],[object Object]
Sample Foaf profile ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ontology definition ,[object Object],[object Object],[object Object],[object Object],[object Object]
Semantic Web Ontology languages ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ontology construction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Main sphere of trust ontology .  3 main Concepts of trust ontology as well as two relationships connecting  them together.  (visualized using  Ontosphere3D plug-in for Protégé .)
Relationship concept ;  two main properties of  hasTrustee   And  hasTruster  defined on the range of   Foaf-agent  and connected to AuxiliaryProperties And MainProperties using two relations of hasAuxiliaryProperties and hasMainProperties
MainProperties  concept;   having two main data type properties of  trust   subject (topical trust) ,  and  trust value
AuxiliaryProperties  concept; having 3 data type properties of  DateBegin ,  DateEnd  and  ContextType  and also  hasRecommender  which is defined on the range of foaf agent
Modeling trust ,[object Object],[object Object],[object Object],[object Object]
Modeling distrust and feelings ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Presentation of Network using our ontology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Bob Alice Trust / Driving 0.95
Trust networks of small size Increasing the  length  of the network structure,  Network contains 20 nodes and 34 edges) Increasing the  width  of the network structure,  (Network contains 28 nodes and 54 edges) Clara Bob David Alice Trust /  Cooking Distrust /  Dishwashing Trust / Driving Distrust / Teaching 0.76 0.46 0.96 0.80 Clara Bob David Alice
Trust networks of larger size Hybrid Networks  -  Connected networks of  different contexts ; a social and a business network. Example Hybrid networks, contain 8 people and 12 relations. 8 links are interconnections (local), and 4 links are acting as glue connecting two networks (foreign). Network contains 48 nodes and 92 edges . Clara Bob David Alice Ginger Eric Henrik Frida Social  Network Business  Network
Trust networks of larger size Meshed networks  –Motivated from real-world network formations, complex, combined networks of different sizes and different contexts. Partial or fully connected meshed networks. In sample,  A partial meshed network made-up of two connected hybrid networks; This network contains 16 people and 26 relations.   (Network contains 98 nodes and 198 edges)   C B D A aB G E H F O M P N K I L J
Structural comparison; Small sized networks Increase in  length ;  Networks of 4 people and 4 relationships. Increasing is  width ;  Networks of 4 people and 6 relationships.
Structural comparison; large sized networks Hybrid Network  ; Network of 8 people and 12 relationships.   Meshed network ; Networks of 16 people and 26 relationships.
Discussion on comparisons ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Discussion on comparisons ,[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusion ,[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusion ,[object Object],[object Object],[object Object]
Future work ,[object Object],[object Object],[object Object]
Questions ,[object Object],[object Object]

Weitere ähnliche Inhalte

Andere mochten auch

A Semantic Multimedia Web (Part 1)
A Semantic Multimedia Web (Part 1)A Semantic Multimedia Web (Part 1)
A Semantic Multimedia Web (Part 1)Raphael Troncy
 
Vijay foundation trust a brief sketch
Vijay foundation trust   a brief sketchVijay foundation trust   a brief sketch
Vijay foundation trust a brief sketchMumbai Ngo
 
Concept Modeling on Semantic Wiki
Concept Modeling on Semantic WikiConcept Modeling on Semantic Wiki
Concept Modeling on Semantic WikiJie Bao
 
Semantic Data Normalization For Efficient Clinical Trial Research
Semantic Data Normalization For Efficient Clinical Trial ResearchSemantic Data Normalization For Efficient Clinical Trial Research
Semantic Data Normalization For Efficient Clinical Trial ResearchOntotext
 
A Semantic Data Model for Web Applications
A Semantic Data Model for Web ApplicationsA Semantic Data Model for Web Applications
A Semantic Data Model for Web ApplicationsArmin Haller
 
Smart Models for Smart Cities - Modeling of Dynamics, Sensors, Urban Indicato...
Smart Models for Smart Cities - Modeling of Dynamics, Sensors, Urban Indicato...Smart Models for Smart Cities - Modeling of Dynamics, Sensors, Urban Indicato...
Smart Models for Smart Cities - Modeling of Dynamics, Sensors, Urban Indicato...Technische Universität München
 
Freebase, RDF and the Semantic Web
Freebase, RDF and the Semantic WebFreebase, RDF and the Semantic Web
Freebase, RDF and the Semantic WebJamie Taylor
 
First Steps in Semantic Data Modelling and Search & Analytics in the Cloud
First Steps in Semantic Data Modelling and Search & Analytics in the CloudFirst Steps in Semantic Data Modelling and Search & Analytics in the Cloud
First Steps in Semantic Data Modelling and Search & Analytics in the CloudOntotext
 
Semantic Modeling - A Query Language for the 21st century
Semantic Modeling - A Query Language for the 21st centurySemantic Modeling - A Query Language for the 21st century
Semantic Modeling - A Query Language for the 21st centuryClifford Heath
 
Data Modeling Presentations I
Data Modeling Presentations IData Modeling Presentations I
Data Modeling Presentations Icd_crisci
 
Lexical Relations in Semantic
Lexical Relations in SemanticLexical Relations in Semantic
Lexical Relations in SemanticAyu Monita
 
Reportaje Yous & La Juana
Reportaje Yous & La JuanaReportaje Yous & La Juana
Reportaje Yous & La Juanapepe_linea
 
Ec2009 ch05 online advertising
Ec2009 ch05 online advertisingEc2009 ch05 online advertising
Ec2009 ch05 online advertisingNuth Otanasap
 
Malaysia Boleh
Malaysia BolehMalaysia Boleh
Malaysia Bolehnotarazi
 
Web 2.0 For Teachers
Web 2.0 For TeachersWeb 2.0 For Teachers
Web 2.0 For TeachersPaty.Savage
 
Lesson Plan Two Us Govt. U23
Lesson Plan Two Us Govt. U23Lesson Plan Two Us Govt. U23
Lesson Plan Two Us Govt. U23Jenny Hulbert
 

Andere mochten auch (20)

A Semantic Multimedia Web (Part 1)
A Semantic Multimedia Web (Part 1)A Semantic Multimedia Web (Part 1)
A Semantic Multimedia Web (Part 1)
 
Vijay foundation trust a brief sketch
Vijay foundation trust   a brief sketchVijay foundation trust   a brief sketch
Vijay foundation trust a brief sketch
 
Concept Modeling on Semantic Wiki
Concept Modeling on Semantic WikiConcept Modeling on Semantic Wiki
Concept Modeling on Semantic Wiki
 
Semantic Data Normalization For Efficient Clinical Trial Research
Semantic Data Normalization For Efficient Clinical Trial ResearchSemantic Data Normalization For Efficient Clinical Trial Research
Semantic Data Normalization For Efficient Clinical Trial Research
 
A Semantic Data Model for Web Applications
A Semantic Data Model for Web ApplicationsA Semantic Data Model for Web Applications
A Semantic Data Model for Web Applications
 
Freebase Schema
Freebase SchemaFreebase Schema
Freebase Schema
 
Smart Models for Smart Cities - Modeling of Dynamics, Sensors, Urban Indicato...
Smart Models for Smart Cities - Modeling of Dynamics, Sensors, Urban Indicato...Smart Models for Smart Cities - Modeling of Dynamics, Sensors, Urban Indicato...
Smart Models for Smart Cities - Modeling of Dynamics, Sensors, Urban Indicato...
 
Freebase, RDF and the Semantic Web
Freebase, RDF and the Semantic WebFreebase, RDF and the Semantic Web
Freebase, RDF and the Semantic Web
 
First Steps in Semantic Data Modelling and Search & Analytics in the Cloud
First Steps in Semantic Data Modelling and Search & Analytics in the CloudFirst Steps in Semantic Data Modelling and Search & Analytics in the Cloud
First Steps in Semantic Data Modelling and Search & Analytics in the Cloud
 
Semantic Modeling - A Query Language for the 21st century
Semantic Modeling - A Query Language for the 21st centurySemantic Modeling - A Query Language for the 21st century
Semantic Modeling - A Query Language for the 21st century
 
Data Modeling Presentations I
Data Modeling Presentations IData Modeling Presentations I
Data Modeling Presentations I
 
Lexical Relations in Semantic
Lexical Relations in SemanticLexical Relations in Semantic
Lexical Relations in Semantic
 
Blogging basics
Blogging basicsBlogging basics
Blogging basics
 
Reportaje Yous & La Juana
Reportaje Yous & La JuanaReportaje Yous & La Juana
Reportaje Yous & La Juana
 
Web20 part 1
Web20 part 1Web20 part 1
Web20 part 1
 
Ec2009 ch05 online advertising
Ec2009 ch05 online advertisingEc2009 ch05 online advertising
Ec2009 ch05 online advertising
 
Malaysia Boleh
Malaysia BolehMalaysia Boleh
Malaysia Boleh
 
Web 2.0 For Teachers
Web 2.0 For TeachersWeb 2.0 For Teachers
Web 2.0 For Teachers
 
The Sun King
The Sun KingThe Sun King
The Sun King
 
Lesson Plan Two Us Govt. U23
Lesson Plan Two Us Govt. U23Lesson Plan Two Us Govt. U23
Lesson Plan Two Us Govt. U23
 

Ähnlich wie TRUST-MODELING

Trustlet, Open Research on Trust Metrics
Trustlet, Open Research on Trust MetricsTrustlet, Open Research on Trust Metrics
Trustlet, Open Research on Trust MetricsPaolo Massa
 
Semantic web assignment1
Semantic web assignment1Semantic web assignment1
Semantic web assignment1BarryK88
 
Social life in digital societies: Trust, Reputation and Privacy EINS summer s...
Social life in digital societies: Trust, Reputation and Privacy EINS summer s...Social life in digital societies: Trust, Reputation and Privacy EINS summer s...
Social life in digital societies: Trust, Reputation and Privacy EINS summer s...i_scienceEU
 
Introduction To Abortion Essay. Group launches site to help women self-induce...
Introduction To Abortion Essay. Group launches site to help women self-induce...Introduction To Abortion Essay. Group launches site to help women self-induce...
Introduction To Abortion Essay. Group launches site to help women self-induce...Ciara Hall
 
Semantic Monitoring of Personal Web Activity to Support the Management of Tru...
Semantic Monitoring of Personal Web Activity to Support the Management of Tru...Semantic Monitoring of Personal Web Activity to Support the Management of Tru...
Semantic Monitoring of Personal Web Activity to Support the Management of Tru...Mathieu d'Aquin
 
The Shawshank Redemption Essay
The Shawshank Redemption EssayThe Shawshank Redemption Essay
The Shawshank Redemption EssayFelisha Bryant
 
Entity linking with a knowledge base issues techniques and solutions
Entity linking with a knowledge base issues techniques and solutionsEntity linking with a knowledge base issues techniques and solutions
Entity linking with a knowledge base issues techniques and solutionsCloudTechnologies
 
Relationships In Wbs Ns (Tin180 Com)
Relationships In Wbs Ns (Tin180 Com)Relationships In Wbs Ns (Tin180 Com)
Relationships In Wbs Ns (Tin180 Com)Tin180 VietNam
 
How to study trust online
How to study trust onlineHow to study trust online
How to study trust onlineTina Guenther
 
2006-05-25__coi-semdis
2006-05-25__coi-semdis2006-05-25__coi-semdis
2006-05-25__coi-semdiswebuploader
 
992 sms10 social_media_services
992 sms10 social_media_services992 sms10 social_media_services
992 sms10 social_media_servicessiyaza
 
Good Deeds Reflect Good Character Essay
Good Deeds Reflect Good Character EssayGood Deeds Reflect Good Character Essay
Good Deeds Reflect Good Character EssayJacqueline Ramirez
 
Introduction to Application Profiles
Introduction to Application ProfilesIntroduction to Application Profiles
Introduction to Application ProfilesDiane Hillmann
 
Management of Organization-Part 3 and 4
Management of Organization-Part 3 and 4Management of Organization-Part 3 and 4
Management of Organization-Part 3 and 4Ramnath Srinivasan
 
DM110 - Week 10 - Semantic Web / Web 3.0
DM110 - Week 10 - Semantic Web / Web 3.0DM110 - Week 10 - Semantic Web / Web 3.0
DM110 - Week 10 - Semantic Web / Web 3.0John Breslin
 

Ähnlich wie TRUST-MODELING (20)

Trustlet, Open Research on Trust Metrics
Trustlet, Open Research on Trust MetricsTrustlet, Open Research on Trust Metrics
Trustlet, Open Research on Trust Metrics
 
Linked data 20171106
Linked data 20171106Linked data 20171106
Linked data 20171106
 
Semantic web assignment1
Semantic web assignment1Semantic web assignment1
Semantic web assignment1
 
Social life in digital societies: Trust, Reputation and Privacy EINS summer s...
Social life in digital societies: Trust, Reputation and Privacy EINS summer s...Social life in digital societies: Trust, Reputation and Privacy EINS summer s...
Social life in digital societies: Trust, Reputation and Privacy EINS summer s...
 
presentation29
presentation29presentation29
presentation29
 
Introduction To Abortion Essay. Group launches site to help women self-induce...
Introduction To Abortion Essay. Group launches site to help women self-induce...Introduction To Abortion Essay. Group launches site to help women self-induce...
Introduction To Abortion Essay. Group launches site to help women self-induce...
 
Semantic Monitoring of Personal Web Activity to Support the Management of Tru...
Semantic Monitoring of Personal Web Activity to Support the Management of Tru...Semantic Monitoring of Personal Web Activity to Support the Management of Tru...
Semantic Monitoring of Personal Web Activity to Support the Management of Tru...
 
The Shawshank Redemption Essay
The Shawshank Redemption EssayThe Shawshank Redemption Essay
The Shawshank Redemption Essay
 
Entity linking with a knowledge base issues techniques and solutions
Entity linking with a knowledge base issues techniques and solutionsEntity linking with a knowledge base issues techniques and solutions
Entity linking with a knowledge base issues techniques and solutions
 
Duke talk
Duke talkDuke talk
Duke talk
 
Relationships In Wbs Ns (Tin180 Com)
Relationships In Wbs Ns (Tin180 Com)Relationships In Wbs Ns (Tin180 Com)
Relationships In Wbs Ns (Tin180 Com)
 
How to study trust online
How to study trust onlineHow to study trust online
How to study trust online
 
NISO/NFAIS Joint Virtual Conference: Connecting the Library to the Wider Wor...
NISO/NFAIS Joint Virtual Conference:  Connecting the Library to the Wider Wor...NISO/NFAIS Joint Virtual Conference:  Connecting the Library to the Wider Wor...
NISO/NFAIS Joint Virtual Conference: Connecting the Library to the Wider Wor...
 
2006-05-25__coi-semdis
2006-05-25__coi-semdis2006-05-25__coi-semdis
2006-05-25__coi-semdis
 
992 sms10 social_media_services
992 sms10 social_media_services992 sms10 social_media_services
992 sms10 social_media_services
 
Good Deeds Reflect Good Character Essay
Good Deeds Reflect Good Character EssayGood Deeds Reflect Good Character Essay
Good Deeds Reflect Good Character Essay
 
Trust networks infotech2010
Trust networks infotech2010Trust networks infotech2010
Trust networks infotech2010
 
Introduction to Application Profiles
Introduction to Application ProfilesIntroduction to Application Profiles
Introduction to Application Profiles
 
Management of Organization-Part 3 and 4
Management of Organization-Part 3 and 4Management of Organization-Part 3 and 4
Management of Organization-Part 3 and 4
 
DM110 - Week 10 - Semantic Web / Web 3.0
DM110 - Week 10 - Semantic Web / Web 3.0DM110 - Week 10 - Semantic Web / Web 3.0
DM110 - Week 10 - Semantic Web / Web 3.0
 

Kürzlich hochgeladen

Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
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
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
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
 
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
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DaySri Ambati
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
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
 
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
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
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
 
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
 

Kürzlich hochgeladen (20)

Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
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!
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
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?
 
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
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
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
 
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
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
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
 
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
 

TRUST-MODELING

  • 1.  
  • 2. Modeling and Representing Trust Relations in Semantic Web-Driven Social Networks: An Ontological Analysis Nima dokoohaki Royal Institute of Technology, Stockholm, June 2007
  • 3.
  • 4.
  • 5. Adopted from “ The Semantic Web: A Guide to the Future of XML, Web Services, and Knowledge Management ” – Daconta et al., 2003 Structure XML Schema Security and Identity Inference Engine DAML+OIL,OWL RDF/RDF Schema Reasoning and Proof Higher Semantics Semantics Trust Syntax Data XML Domain NameSpace Intelligent Domain Applications and Services
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17. Main sphere of trust ontology . 3 main Concepts of trust ontology as well as two relationships connecting them together. (visualized using Ontosphere3D plug-in for Protégé .)
  • 18. Relationship concept ; two main properties of hasTrustee And hasTruster defined on the range of Foaf-agent and connected to AuxiliaryProperties And MainProperties using two relations of hasAuxiliaryProperties and hasMainProperties
  • 19. MainProperties concept; having two main data type properties of trust subject (topical trust) , and trust value
  • 20. AuxiliaryProperties concept; having 3 data type properties of DateBegin , DateEnd and ContextType and also hasRecommender which is defined on the range of foaf agent
  • 21.
  • 22.
  • 23.
  • 24. Trust networks of small size Increasing the length of the network structure, Network contains 20 nodes and 34 edges) Increasing the width of the network structure, (Network contains 28 nodes and 54 edges) Clara Bob David Alice Trust / Cooking Distrust / Dishwashing Trust / Driving Distrust / Teaching 0.76 0.46 0.96 0.80 Clara Bob David Alice
  • 25. Trust networks of larger size Hybrid Networks - Connected networks of different contexts ; a social and a business network. Example Hybrid networks, contain 8 people and 12 relations. 8 links are interconnections (local), and 4 links are acting as glue connecting two networks (foreign). Network contains 48 nodes and 92 edges . Clara Bob David Alice Ginger Eric Henrik Frida Social Network Business Network
  • 26. Trust networks of larger size Meshed networks –Motivated from real-world network formations, complex, combined networks of different sizes and different contexts. Partial or fully connected meshed networks. In sample, A partial meshed network made-up of two connected hybrid networks; This network contains 16 people and 26 relations. (Network contains 98 nodes and 198 edges) C B D A aB G E H F O M P N K I L J
  • 27. Structural comparison; Small sized networks Increase in length ; Networks of 4 people and 4 relationships. Increasing is width ; Networks of 4 people and 6 relationships.
  • 28. Structural comparison; large sized networks Hybrid Network ; Network of 8 people and 12 relationships. Meshed network ; Networks of 16 people and 26 relationships.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.

Hinweis der Redaktion

  1. I would like to thank you for giving me this pleasure to be at my defense presentation