SlideShare a Scribd company logo
1 of 36
Nova Spivack CEO & Founder Radar Networks Making  Sense of the  Semantic  Web
About This Talk ,[object Object],[object Object],[object Object],[object Object],[object Object]
The Big Opportunity… Better search More targeted ads Smarter collaboration Deeper integration Richer content Better personalization The social graph just connects people People Groups The semantic graph connects everything… Emails Companies Products Services Web Pages Multimedia Documents Events Projects Activities Interests Places
The third decade of the Web ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Intelligence is in the Connections Connections between people Connections between Information Email Social Networking Groupware Javascript Weblogs Databases File Systems HTTP Keyword Search USENET Wikis Websites Directory Portals 2010 - 2020 Web 1.0  2000 - 2010 1990 - 2000 PC Era 1980 - 1990 RSS Widgets PC’s 2020 - 2030 Office 2.0 XML RDF SPARQL AJAX FTP IRC SOAP Mashups File Servers Social Media Sharing Lightweight Collaboration ATOM Web 3.0  Web 4.0  Semantic Search Semantic Databases Distributed Search Intelligent personal agents Java SaaS Web 2.0  Flash OWL HTML SGML SQL Gopher P2P The Web The PC Windows MacOS SWRL OpenID BBS MMO’s VR Semantic Web Intelligent Web  The Internet Social Web Web OS
Beyond the Limits of Keyword Search  Amount of data Productivity of Search Databases 2010 - 2020 Web 1.0  2000 - 2010 1990 - 2000 PC Era 1980 - 1990 2020 - 2030 Web 3.0  Web 4.0  Web 2.0  The World Wide Web The Desktop Keyword search Natural language search Reasoning Tagging Semantic Search The Semantic Web The Intelligent Web Directories The Social Web  Files & Folders
A Higher Resolution Web Coldplay Band Palo Alto City Jane Person IBM Company Dave Person Bob Person Design Team Group Stanford Alumnae Group IBM.com Web Site 123.JPG Photo Dave.com Weblog Sue Person Joe Person Dave.com RSS Feed Lives in Publisher of Friend of Depiction of Depiction of Member of Married to Member  of Member of Member of Fan of Lives in Subscriber to Source of Author of Member of Employee of Fan of
Five Approaches to Semantics ,[object Object],[object Object],[object Object],[object Object],[object Object]
The Tagging Approach ,[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]
The Statistical Approach ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Linguistic Approach ,[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]
The Semantic Web Approach ,[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]
The Artificial Intelligence Approach ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Approaches Compared Make the software smarter Make the Data Smarter Statistics Linguistics Semantic Web A.I. Tagging
Two Paths to Adding Semantics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
In Practice: Hybrid Approach Works Best ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Semantic Web is a Key Enabler ,[object Object],[object Object],[object Object],[object Object]
The Semantic Web = Open database layer for the Web User Profiles Web Content Data Records Apps & Services Ads & Listings Open Data Mappings Open Data Records Open Rules Open Ontologies Open Query Interfaces
Semantic Web Open Standards ,[object Object],[object Object],[object Object],[object Object],[object Object]
RDF “Triples” ,[object Object],[object Object],[object Object],Source: http://www.w3.org/TR/rdf-concepts/#section-triples Subject Object Predicate
Semantic Web Data is Self-Describing Linked Data Data Record   ID Field 1  Value Field 2  Value Field 3  Value Field 4  Value Definition Definition Definition Definition Definition Definition Definition Ontologies
RDBMS vs Triplestore S P O Person Table f_name jim nova chris lew ID 001 002 003 004 l_name wissner spivack jones tucker Colleagues Table SRC-ID 001 001 001 001 002 002 002 002 003 003 003 003 004 004 004 004 TGT-ID 001 002 003 004 001 002 003 004 001 002 003 004 001 002 003 004 Subject Predicate Object 001 isA Person 001 firstName Jim 001 lastName Wissner 001 hasColleague 002 002 isA Person 002 firstName Nova 002 lastName Spivack 002 hasColleague 003 003 isA Person 003 firstName Chris 003 lastName Jones 003 hasColleague 004 004 isA Person 004 firstName Lew 004 lastName Tucker
Merging Databases in RDF is Easy S P O S P O S P O
The Web  IS  the Database! Application A Application B Coldplay Band Palo Alto City Jane Person IBM Company Dave Person Bob Person Design Team Group Stanford Alumnae Group IBM.com Web Site 123.JPG Photo Dave.com Weblog Sue Person Joe Person Dave.com RSS Feed Lives in Publisher of Friend of Depiction of Depiction of Member of Married to Member  of Member of Member of Fan of Lives in Subscriber to Source of Author of Member of Employee of Fan of
Are RDF/OWL the Only Way to Express Semantics? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
One Semantic Web or Many? ,[object Object],[object Object],[object Object]
Why has it Taken So Long? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Crossing the Chasm… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Future Outlook ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Future of the Platform… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
A Mainstream Application of  the Semantic Web…
What is Twine? ,[object Object],[object Object],[object Object]
How Twine Works ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Use-Cases ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Contact Info ,[object Object],[object Object],[object Object],[object Object]
Rights ,[object Object],[object Object],[object Object]

More Related Content

What's hot

Jim Hendler's Presentation at SSSW 2011
Jim Hendler's Presentation at SSSW 2011Jim Hendler's Presentation at SSSW 2011
Jim Hendler's Presentation at SSSW 2011sssw2011
 
Peter Mika's Presentation at SSSW 2011
Peter Mika's Presentation at SSSW 2011Peter Mika's Presentation at SSSW 2011
Peter Mika's Presentation at SSSW 2011sssw2011
 
Harith Alani's presentation at SSSW 2011
Harith Alani's presentation at SSSW 2011Harith Alani's presentation at SSSW 2011
Harith Alani's presentation at SSSW 2011sssw2011
 
SocialOverlay : P2P Infrastructure for social Networks
SocialOverlay : P2P Infrastructure for social NetworksSocialOverlay : P2P Infrastructure for social Networks
SocialOverlay : P2P Infrastructure for social NetworksBipin
 
How To Make Friends And Inference People
How To Make Friends And Inference PeopleHow To Make Friends And Inference People
How To Make Friends And Inference PeopleDan Brickley
 
Social Semantic Web (Social Activity and Facebook)
Social Semantic Web (Social Activity and Facebook)Social Semantic Web (Social Activity and Facebook)
Social Semantic Web (Social Activity and Facebook)Myungjin Lee
 
Dagstuhl FOAF history talk
Dagstuhl FOAF history talkDagstuhl FOAF history talk
Dagstuhl FOAF history talkDan Brickley
 
Semantic Web: an Introduction
Semantic Web: an IntroductionSemantic Web: an Introduction
Semantic Web: an IntroductionLuigi De Russis
 
Semantic Search using RDF Metadata (SemTech 2005)
Semantic Search using RDF Metadata (SemTech 2005)Semantic Search using RDF Metadata (SemTech 2005)
Semantic Search using RDF Metadata (SemTech 2005)Bradley Allen
 
IOT, Real World Things, & Linked data
IOT, Real World Things, & Linked dataIOT, Real World Things, & Linked data
IOT, Real World Things, & Linked datarobin fay
 
Interlinking Online Communities and Enriching Social Software with the Semant...
Interlinking Online Communities and Enriching Social Software with the Semant...Interlinking Online Communities and Enriching Social Software with the Semant...
Interlinking Online Communities and Enriching Social Software with the Semant...John Breslin
 
Tutorial: Social Semantics
Tutorial: Social SemanticsTutorial: Social Semantics
Tutorial: Social SemanticsMatthew Rowe
 
NE7012- SOCIAL NETWORK ANALYSIS
NE7012- SOCIAL NETWORK ANALYSISNE7012- SOCIAL NETWORK ANALYSIS
NE7012- SOCIAL NETWORK ANALYSISrathnaarul
 
6.[34 38]face location - a novel approach to post the user global location
6.[34 38]face location - a novel approach to post the user global location6.[34 38]face location - a novel approach to post the user global location
6.[34 38]face location - a novel approach to post the user global locationAlexander Decker
 
RDFa From Theory to Practice
RDFa From Theory to PracticeRDFa From Theory to Practice
RDFa From Theory to PracticeAdrian Stevenson
 
Community Challenges for Practical Linked Open Data - Linked Pasts keynote
Community Challenges for Practical Linked Open Data - Linked Pasts keynoteCommunity Challenges for Practical Linked Open Data - Linked Pasts keynote
Community Challenges for Practical Linked Open Data - Linked Pasts keynoteRobert Sanderson
 
Linked Open Govt Data - Sem Tech East
Linked Open Govt Data - Sem Tech EastLinked Open Govt Data - Sem Tech East
Linked Open Govt Data - Sem Tech EastJames Hendler
 

What's hot (20)

Jim Hendler's Presentation at SSSW 2011
Jim Hendler's Presentation at SSSW 2011Jim Hendler's Presentation at SSSW 2011
Jim Hendler's Presentation at SSSW 2011
 
Peter Mika's Presentation at SSSW 2011
Peter Mika's Presentation at SSSW 2011Peter Mika's Presentation at SSSW 2011
Peter Mika's Presentation at SSSW 2011
 
Harith Alani's presentation at SSSW 2011
Harith Alani's presentation at SSSW 2011Harith Alani's presentation at SSSW 2011
Harith Alani's presentation at SSSW 2011
 
SocialOverlay : P2P Infrastructure for social Networks
SocialOverlay : P2P Infrastructure for social NetworksSocialOverlay : P2P Infrastructure for social Networks
SocialOverlay : P2P Infrastructure for social Networks
 
How To Make Friends And Inference People
How To Make Friends And Inference PeopleHow To Make Friends And Inference People
How To Make Friends And Inference People
 
Social Semantic Web (Social Activity and Facebook)
Social Semantic Web (Social Activity and Facebook)Social Semantic Web (Social Activity and Facebook)
Social Semantic Web (Social Activity and Facebook)
 
Dagstuhl FOAF history talk
Dagstuhl FOAF history talkDagstuhl FOAF history talk
Dagstuhl FOAF history talk
 
Semantic Web: an Introduction
Semantic Web: an IntroductionSemantic Web: an Introduction
Semantic Web: an Introduction
 
Library Linked Data
Library Linked DataLibrary Linked Data
Library Linked Data
 
Semantic Search using RDF Metadata (SemTech 2005)
Semantic Search using RDF Metadata (SemTech 2005)Semantic Search using RDF Metadata (SemTech 2005)
Semantic Search using RDF Metadata (SemTech 2005)
 
IOT, Real World Things, & Linked data
IOT, Real World Things, & Linked dataIOT, Real World Things, & Linked data
IOT, Real World Things, & Linked data
 
Interlinking Online Communities and Enriching Social Software with the Semant...
Interlinking Online Communities and Enriching Social Software with the Semant...Interlinking Online Communities and Enriching Social Software with the Semant...
Interlinking Online Communities and Enriching Social Software with the Semant...
 
Tutorial: Social Semantics
Tutorial: Social SemanticsTutorial: Social Semantics
Tutorial: Social Semantics
 
NE7012- SOCIAL NETWORK ANALYSIS
NE7012- SOCIAL NETWORK ANALYSISNE7012- SOCIAL NETWORK ANALYSIS
NE7012- SOCIAL NETWORK ANALYSIS
 
When?
When?When?
When?
 
computer
computercomputer
computer
 
6.[34 38]face location - a novel approach to post the user global location
6.[34 38]face location - a novel approach to post the user global location6.[34 38]face location - a novel approach to post the user global location
6.[34 38]face location - a novel approach to post the user global location
 
RDFa From Theory to Practice
RDFa From Theory to PracticeRDFa From Theory to Practice
RDFa From Theory to Practice
 
Community Challenges for Practical Linked Open Data - Linked Pasts keynote
Community Challenges for Practical Linked Open Data - Linked Pasts keynoteCommunity Challenges for Practical Linked Open Data - Linked Pasts keynote
Community Challenges for Practical Linked Open Data - Linked Pasts keynote
 
Linked Open Govt Data - Sem Tech East
Linked Open Govt Data - Sem Tech EastLinked Open Govt Data - Sem Tech East
Linked Open Govt Data - Sem Tech East
 

Similar to Nova Spivack - Semantic Web Talk

Making things findable
Making things findableMaking things findable
Making things findablePeter Mika
 
Web3.0 or The semantic web
Web3.0 or The semantic webWeb3.0 or The semantic web
Web3.0 or The semantic webDarren Wood
 
Web Evolution Nova Spivack Twine
Web Evolution   Nova Spivack   TwineWeb Evolution   Nova Spivack   Twine
Web Evolution Nova Spivack TwineNova Spivack
 
The Semantic Web: It's for Real
The Semantic Web: It's for RealThe Semantic Web: It's for Real
The Semantic Web: It's for RealJames Hendler
 
The semantic web
The semantic webThe semantic web
The semantic webDotkumo
 
2008-04-24 Enhancing Research Projects with Environmental Informatics and Web...
2008-04-24 Enhancing Research Projects with Environmental Informatics and Web...2008-04-24 Enhancing Research Projects with Environmental Informatics and Web...
2008-04-24 Enhancing Research Projects with Environmental Informatics and Web...Rudolf Husar
 
Internet research-1200691875464541-5
Internet research-1200691875464541-5Internet research-1200691875464541-5
Internet research-1200691875464541-5惠子 李
 
Internet research-1200691875464541-5
Internet research-1200691875464541-5Internet research-1200691875464541-5
Internet research-1200691875464541-5惠子 李
 
Information Extraction and Linked Data Cloud
Information Extraction and Linked Data CloudInformation Extraction and Linked Data Cloud
Information Extraction and Linked Data CloudDhaval Thakker
 
Semantic Web: Explanation
Semantic Web: ExplanationSemantic Web: Explanation
Semantic Web: ExplanationAnil Mishra
 
From semantic platforms to semantic apps
From semantic platforms to semantic appsFrom semantic platforms to semantic apps
From semantic platforms to semantic appsscroisier
 

Similar to Nova Spivack - Semantic Web Talk (20)

Making things findable
Making things findableMaking things findable
Making things findable
 
Web3.0 or The semantic web
Web3.0 or The semantic webWeb3.0 or The semantic web
Web3.0 or The semantic web
 
Web Evolution Nova Spivack Twine
Web Evolution   Nova Spivack   TwineWeb Evolution   Nova Spivack   Twine
Web Evolution Nova Spivack Twine
 
Semantic Web
Semantic WebSemantic Web
Semantic Web
 
Internet Research
Internet ResearchInternet Research
Internet Research
 
Web 3.0
Web 3.0 Web 3.0
Web 3.0
 
Semantic Web, e-commerce
Semantic Web, e-commerceSemantic Web, e-commerce
Semantic Web, e-commerce
 
The Semantic Web: It's for Real
The Semantic Web: It's for RealThe Semantic Web: It's for Real
The Semantic Web: It's for Real
 
The semantic web
The semantic webThe semantic web
The semantic web
 
2008-04-24 Enhancing Research Projects with Environmental Informatics and Web...
2008-04-24 Enhancing Research Projects with Environmental Informatics and Web...2008-04-24 Enhancing Research Projects with Environmental Informatics and Web...
2008-04-24 Enhancing Research Projects with Environmental Informatics and Web...
 
Internet research for HRD Profession
Internet research for HRD ProfessionInternet research for HRD Profession
Internet research for HRD Profession
 
Internet research-1200691875464541-5
Internet research-1200691875464541-5Internet research-1200691875464541-5
Internet research-1200691875464541-5
 
Internet research-1200691875464541-5
Internet research-1200691875464541-5Internet research-1200691875464541-5
Internet research-1200691875464541-5
 
Internet research
Internet researchInternet research
Internet research
 
Information Extraction and Linked Data Cloud
Information Extraction and Linked Data CloudInformation Extraction and Linked Data Cloud
Information Extraction and Linked Data Cloud
 
Semantic Web: Explanation
Semantic Web: ExplanationSemantic Web: Explanation
Semantic Web: Explanation
 
From semantic platforms to semantic apps
From semantic platforms to semantic appsFrom semantic platforms to semantic apps
From semantic platforms to semantic apps
 
Technology Trends
Technology TrendsTechnology Trends
Technology Trends
 
Web 3.0 Emerging
Web 3.0 EmergingWeb 3.0 Emerging
Web 3.0 Emerging
 
Pratical Deep Dive into the Semantic Web - #smconnect
Pratical Deep Dive into the Semantic Web - #smconnectPratical Deep Dive into the Semantic Web - #smconnect
Pratical Deep Dive into the Semantic Web - #smconnect
 

Recently uploaded

Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetHyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetEnjoy Anytime
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Azure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAzure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAndikSusilo4
 
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
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksSoftradix Technologies
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxnull - The Open Security Community
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 

Recently uploaded (20)

Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetHyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Azure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAzure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & Application
 
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
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other Frameworks
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 

Nova Spivack - Semantic Web Talk

  • 1. Nova Spivack CEO & Founder Radar Networks Making Sense of the Semantic Web
  • 2.
  • 3. The Big Opportunity… Better search More targeted ads Smarter collaboration Deeper integration Richer content Better personalization The social graph just connects people People Groups The semantic graph connects everything… Emails Companies Products Services Web Pages Multimedia Documents Events Projects Activities Interests Places
  • 4.
  • 5. The Intelligence is in the Connections Connections between people Connections between Information Email Social Networking Groupware Javascript Weblogs Databases File Systems HTTP Keyword Search USENET Wikis Websites Directory Portals 2010 - 2020 Web 1.0 2000 - 2010 1990 - 2000 PC Era 1980 - 1990 RSS Widgets PC’s 2020 - 2030 Office 2.0 XML RDF SPARQL AJAX FTP IRC SOAP Mashups File Servers Social Media Sharing Lightweight Collaboration ATOM Web 3.0 Web 4.0 Semantic Search Semantic Databases Distributed Search Intelligent personal agents Java SaaS Web 2.0 Flash OWL HTML SGML SQL Gopher P2P The Web The PC Windows MacOS SWRL OpenID BBS MMO’s VR Semantic Web Intelligent Web The Internet Social Web Web OS
  • 6. Beyond the Limits of Keyword Search Amount of data Productivity of Search Databases 2010 - 2020 Web 1.0 2000 - 2010 1990 - 2000 PC Era 1980 - 1990 2020 - 2030 Web 3.0 Web 4.0 Web 2.0 The World Wide Web The Desktop Keyword search Natural language search Reasoning Tagging Semantic Search The Semantic Web The Intelligent Web Directories The Social Web Files & Folders
  • 7. A Higher Resolution Web Coldplay Band Palo Alto City Jane Person IBM Company Dave Person Bob Person Design Team Group Stanford Alumnae Group IBM.com Web Site 123.JPG Photo Dave.com Weblog Sue Person Joe Person Dave.com RSS Feed Lives in Publisher of Friend of Depiction of Depiction of Member of Married to Member of Member of Member of Fan of Lives in Subscriber to Source of Author of Member of Employee of Fan of
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. The Approaches Compared Make the software smarter Make the Data Smarter Statistics Linguistics Semantic Web A.I. Tagging
  • 15.
  • 16.
  • 17.
  • 18. The Semantic Web = Open database layer for the Web User Profiles Web Content Data Records Apps & Services Ads & Listings Open Data Mappings Open Data Records Open Rules Open Ontologies Open Query Interfaces
  • 19.
  • 20.
  • 21. Semantic Web Data is Self-Describing Linked Data Data Record ID Field 1 Value Field 2 Value Field 3 Value Field 4 Value Definition Definition Definition Definition Definition Definition Definition Ontologies
  • 22. RDBMS vs Triplestore S P O Person Table f_name jim nova chris lew ID 001 002 003 004 l_name wissner spivack jones tucker Colleagues Table SRC-ID 001 001 001 001 002 002 002 002 003 003 003 003 004 004 004 004 TGT-ID 001 002 003 004 001 002 003 004 001 002 003 004 001 002 003 004 Subject Predicate Object 001 isA Person 001 firstName Jim 001 lastName Wissner 001 hasColleague 002 002 isA Person 002 firstName Nova 002 lastName Spivack 002 hasColleague 003 003 isA Person 003 firstName Chris 003 lastName Jones 003 hasColleague 004 004 isA Person 004 firstName Lew 004 lastName Tucker
  • 23. Merging Databases in RDF is Easy S P O S P O S P O
  • 24. The Web IS the Database! Application A Application B Coldplay Band Palo Alto City Jane Person IBM Company Dave Person Bob Person Design Team Group Stanford Alumnae Group IBM.com Web Site 123.JPG Photo Dave.com Weblog Sue Person Joe Person Dave.com RSS Feed Lives in Publisher of Friend of Depiction of Depiction of Member of Married to Member of Member of Member of Fan of Lives in Subscriber to Source of Author of Member of Employee of Fan of
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31. A Mainstream Application of the Semantic Web…
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.