SlideShare ist ein Scribd-Unternehmen logo
1 von 35
Web 3.0 emerges… Jim Hendler Tetherless World Professor of Computer and Cognitive Science Assistant Dean of Information Technology and Web Science Rensselaer Polytechnic Institute http://www.cs.rpi.edu/~hendler
 
The Semantic Web (ca. 2001) (Berners-Lee, Hendler, Lassila; 2001)
Semantic Web ca. 2010 ,[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],[object Object],[object Object],[object Object]
Two very different sorts of use cases ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Widely varying use ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Why ? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],In this view OWL is a formal  knowledge representation  standard
The argument for this  seems compelling  ,[object Object],Which one do you want  your   doctor to use?
But the cost is high ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The alternative ,[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],“ linked data” often used to describe this low semantics Semantic Web (slogan: a little semantics goes a long way)
Semantic   Web Applications ,[object Object],RDF Triple Store Dynamic Content Engine HTTP RDF Web App (w SPARQL) RDF Triple Store … HTML 2008 examples include sites from "regular" Web players such as Dow Jones, Reuters and Yahoo!
cf.  Yahoo mixes RDF with other  technologies: at Web scale Dave  Beckett, SemTech 08 http://www.semantic-conference.com/session/733/
Linked Data + Semantics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The data is out there Example: the linked open data cloud now has tens of billions of triples and is growing rapidly
Government Data on the Web
Moving data.gov to linked data (UK) ,[object Object]
Moving data.gov to linked data (US) ,[object Object],•  Plans for a semantic.data.gov in OGD implementation plans,, but unfunded
Adding Meta-data
Pump through to Google Viz for demos
Data.gov + epa.gov
Adding some Web magic Web Analytics Social Data Networks External Links
Mashup w/Web content
Linked Data  (RDF, SPARQL) Semantic Web  (RDFS, owl) Web 3.0  Web 2.0 Web 3.0 extends current Web applications using Semantic Web technologies and graph-based, open data.
Semantic Search IEEE Computer, Jan 2010; IEEE Computing Now, Feb 2010 (free)
Semantic Search examples T2 (twine.com) TipTop ( feeltiptop.com )
Web 3.0 examples Semantic classified (bintro.com)
Trialx.com
Web 3.0 examples
Web 3.0 examples Social database (freebase.com)
Tiptop health Ok, so we have a way to go on this one  
Web 3.0 excitement (hype?) ,[object Object],[object Object],[object Object],[object Object]
1B computers (mostly owned by a few large companies) 3B cell phones (most are Web enable)
Sem Web  going mobile? (Add social contexts)
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What’s next? Still, like many researchers working in this area, Hendler is already looking beyond emerging Semantic Web strategies and related technologies that are now collectively called Web 3.0. “This stuff is new and exciting,” he says. “ But I look at it this way: I started playing with the Semantic Web back in the 1990s. As a researcher, I’m not content to sit around and exploit Web 3.0; my job is to help create Web 4.0.” “Engineering the Web’s Third Decade,” CACM March, 2010

Weitere ähnliche Inhalte

Was ist angesagt?

2011 05-01 linked data
2011 05-01 linked data2011 05-01 linked data
2011 05-01 linked datavafopoulos
 
WikiFactMine: Science for Everyone
WikiFactMine: Science for EveryoneWikiFactMine: Science for Everyone
WikiFactMine: Science for Everyonepetermurrayrust
 
Data, data, data
Data, data, dataData, data, data
Data, data, dataandrewxhill
 
Data Science in 2016: Moving up by Paco Nathan at Big Data Spain 2015
Data Science in 2016: Moving up by Paco Nathan at Big Data Spain 2015Data Science in 2016: Moving up by Paco Nathan at Big Data Spain 2015
Data Science in 2016: Moving up by Paco Nathan at Big Data Spain 2015Big Data Spain
 
AgriFood Data, Models, Standards, Tools, Use Cases
AgriFood Data, Models, Standards, Tools, Use CasesAgriFood Data, Models, Standards, Tools, Use Cases
AgriFood Data, Models, Standards, Tools, Use CasesRothamsted Research, UK
 
Climate Change and Human Migration
Climate Change and Human MigrationClimate Change and Human Migration
Climate Change and Human Migrationpetermurrayrust
 
HKU Data Curation MLIM7350 Class 7
HKU Data Curation MLIM7350 Class 7HKU Data Curation MLIM7350 Class 7
HKU Data Curation MLIM7350 Class 7Scott Edmunds
 
Online text data for machine learning, data science, and research - Who can p...
Online text data for machine learning, data science, and research - Who can p...Online text data for machine learning, data science, and research - Who can p...
Online text data for machine learning, data science, and research - Who can p...Fredrik Olsson
 
Data Science, Data Curation, and Human-Data Interaction
Data Science, Data Curation, and Human-Data InteractionData Science, Data Curation, and Human-Data Interaction
Data Science, Data Curation, and Human-Data InteractionUniversity of Washington
 
Elements of AI Luxembourg - session 5
Elements of AI Luxembourg - session 5Elements of AI Luxembourg - session 5
Elements of AI Luxembourg - session 5Jeremie Dauphin
 
Big Data Talent in Academic and Industry R&D
Big Data Talent in Academic and Industry R&DBig Data Talent in Academic and Industry R&D
Big Data Talent in Academic and Industry R&DUniversity of Washington
 
Disrupting the Publisher-Academic Complex
Disrupting the Publisher-Academic ComplexDisrupting the Publisher-Academic Complex
Disrupting the Publisher-Academic Complexpetermurrayrust
 
Semantics-aware Graph-based Recommender Systems exploiting Linked Open Data
Semantics-aware Graph-based Recommender Systems exploiting Linked Open DataSemantics-aware Graph-based Recommender Systems exploiting Linked Open Data
Semantics-aware Graph-based Recommender Systems exploiting Linked Open DataCataldo Musto
 
Data4Ed - How data sharing, curation and analytics support innovation in educ...
Data4Ed - How data sharing, curation and analytics support innovation in educ...Data4Ed - How data sharing, curation and analytics support innovation in educ...
Data4Ed - How data sharing, curation and analytics support innovation in educ...Mathieu d'Aquin
 
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
 
EKAW2014 Keynote: Ontology Engineering for and by the Masses: are we already ...
EKAW2014 Keynote: Ontology Engineering for and by the Masses: are we already ...EKAW2014 Keynote: Ontology Engineering for and by the Masses: are we already ...
EKAW2014 Keynote: Ontology Engineering for and by the Masses: are we already ...Oscar Corcho
 
2013 10-03-semantics-meetup-s buxton-mark_logic_pub
2013 10-03-semantics-meetup-s buxton-mark_logic_pub2013 10-03-semantics-meetup-s buxton-mark_logic_pub
2013 10-03-semantics-meetup-s buxton-mark_logic_pubStephen Buxton
 

Was ist angesagt? (20)

2011 05-01 linked data
2011 05-01 linked data2011 05-01 linked data
2011 05-01 linked data
 
WikiFactMine: Science for Everyone
WikiFactMine: Science for EveryoneWikiFactMine: Science for Everyone
WikiFactMine: Science for Everyone
 
Data, data, data
Data, data, dataData, data, data
Data, data, data
 
Data Science in 2016: Moving up by Paco Nathan at Big Data Spain 2015
Data Science in 2016: Moving up by Paco Nathan at Big Data Spain 2015Data Science in 2016: Moving up by Paco Nathan at Big Data Spain 2015
Data Science in 2016: Moving up by Paco Nathan at Big Data Spain 2015
 
AgriFood Data, Models, Standards, Tools, Use Cases
AgriFood Data, Models, Standards, Tools, Use CasesAgriFood Data, Models, Standards, Tools, Use Cases
AgriFood Data, Models, Standards, Tools, Use Cases
 
Climate Change and Human Migration
Climate Change and Human MigrationClimate Change and Human Migration
Climate Change and Human Migration
 
HKU Data Curation MLIM7350 Class 7
HKU Data Curation MLIM7350 Class 7HKU Data Curation MLIM7350 Class 7
HKU Data Curation MLIM7350 Class 7
 
Online text data for machine learning, data science, and research - Who can p...
Online text data for machine learning, data science, and research - Who can p...Online text data for machine learning, data science, and research - Who can p...
Online text data for machine learning, data science, and research - Who can p...
 
Data Science, Data Curation, and Human-Data Interaction
Data Science, Data Curation, and Human-Data InteractionData Science, Data Curation, and Human-Data Interaction
Data Science, Data Curation, and Human-Data Interaction
 
Elements of AI Luxembourg - session 5
Elements of AI Luxembourg - session 5Elements of AI Luxembourg - session 5
Elements of AI Luxembourg - session 5
 
Big Data Talent in Academic and Industry R&D
Big Data Talent in Academic and Industry R&DBig Data Talent in Academic and Industry R&D
Big Data Talent in Academic and Industry R&D
 
Urban Data Science at UW
Urban Data Science at UWUrban Data Science at UW
Urban Data Science at UW
 
Disrupting the Publisher-Academic Complex
Disrupting the Publisher-Academic ComplexDisrupting the Publisher-Academic Complex
Disrupting the Publisher-Academic Complex
 
Semantics-aware Graph-based Recommender Systems exploiting Linked Open Data
Semantics-aware Graph-based Recommender Systems exploiting Linked Open DataSemantics-aware Graph-based Recommender Systems exploiting Linked Open Data
Semantics-aware Graph-based Recommender Systems exploiting Linked Open Data
 
Democratizing Data Science in the Cloud
Democratizing Data Science in the CloudDemocratizing Data Science in the Cloud
Democratizing Data Science in the Cloud
 
Data4Ed - How data sharing, curation and analytics support innovation in educ...
Data4Ed - How data sharing, curation and analytics support innovation in educ...Data4Ed - How data sharing, curation and analytics support innovation in educ...
Data4Ed - How data sharing, curation and analytics support innovation in educ...
 
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
 
Data Science and Urban Science @ UW
Data Science and Urban Science @ UWData Science and Urban Science @ UW
Data Science and Urban Science @ UW
 
EKAW2014 Keynote: Ontology Engineering for and by the Masses: are we already ...
EKAW2014 Keynote: Ontology Engineering for and by the Masses: are we already ...EKAW2014 Keynote: Ontology Engineering for and by the Masses: are we already ...
EKAW2014 Keynote: Ontology Engineering for and by the Masses: are we already ...
 
2013 10-03-semantics-meetup-s buxton-mark_logic_pub
2013 10-03-semantics-meetup-s buxton-mark_logic_pub2013 10-03-semantics-meetup-s buxton-mark_logic_pub
2013 10-03-semantics-meetup-s buxton-mark_logic_pub
 

Andere mochten auch (7)

Web 3.0
Web 3.0Web 3.0
Web 3.0
 
Albergue de peregrinos en Santiago de Compostela
Albergue de peregrinos en Santiago de CompostelaAlbergue de peregrinos en Santiago de Compostela
Albergue de peregrinos en Santiago de Compostela
 
Web 3.0
Web 3.0Web 3.0
Web 3.0
 
Semantics and Web 3.0
Semantics and Web 3.0Semantics and Web 3.0
Semantics and Web 3.0
 
Web 3.0 Intro
Web 3.0 IntroWeb 3.0 Intro
Web 3.0 Intro
 
Web 3.0
Web 3.0Web 3.0
Web 3.0
 
Web 3.0 The Semantic Web
Web 3.0 The Semantic WebWeb 3.0 The Semantic Web
Web 3.0 The Semantic Web
 

Ähnlich wie Web 3.0 Emerging

Semantic Web Science
Semantic Web ScienceSemantic Web Science
Semantic Web ScienceJames Hendler
 
Making things findable
Making things findableMaking things findable
Making things findablePeter Mika
 
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
 
Spivack Blogtalk 2008
Spivack Blogtalk 2008Spivack Blogtalk 2008
Spivack Blogtalk 2008Blogtalk 2008
 
HKU Data Curation MLIM7350 Class 10
HKU Data Curation MLIM7350 Class 10HKU Data Curation MLIM7350 Class 10
HKU Data Curation MLIM7350 Class 10Scott Edmunds
 
Linked Open Government Data and the Semantic Web
Linked Open Government Data and the Semantic WebLinked Open Government Data and the Semantic Web
Linked Open Government Data and the Semantic WebJames Hendler
 
Evolution Towards Web 3.0: The Semantic Web
Evolution Towards Web 3.0: The Semantic WebEvolution Towards Web 3.0: The Semantic Web
Evolution Towards Web 3.0: The Semantic WebLeeFeigenbaum
 
Web Search And Mining (Ntuim)
Web Search And Mining (Ntuim)Web Search And Mining (Ntuim)
Web Search And Mining (Ntuim)Hector Lin
 
Doing Clever Things with the Semantic Web
Doing Clever Things with the Semantic WebDoing Clever Things with the Semantic Web
Doing Clever Things with the Semantic WebMathieu d'Aquin
 
Big data and APIs for PHP developers - SXSW 2011
Big data and APIs for PHP developers - SXSW 2011Big data and APIs for PHP developers - SXSW 2011
Big data and APIs for PHP developers - SXSW 2011Eli White
 
Intelligentcontent2009
Intelligentcontent2009Intelligentcontent2009
Intelligentcontent2009Salim Ismail
 
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
 
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 2.0
Semantic Web 2.0Semantic Web 2.0
Semantic Web 2.0hchen1
 
Data science training institute in hyderabad
Data science training institute in hyderabadData science training institute in hyderabad
Data science training institute in hyderabadKelly Technologies
 
Nova Spivack - Semantic Web Talk
Nova Spivack - Semantic Web TalkNova Spivack - Semantic Web Talk
Nova Spivack - Semantic Web Talksyawal
 
01_intro.pfwekfmwEKFHswfuhSWFYUGsduyfgSWY6FEWUFpt
01_intro.pfwekfmwEKFHswfuhSWFYUGsduyfgSWY6FEWUFpt01_intro.pfwekfmwEKFHswfuhSWFYUGsduyfgSWY6FEWUFpt
01_intro.pfwekfmwEKFHswfuhSWFYUGsduyfgSWY6FEWUFptWrushabhShirsat3
 
SAP Technology Services Conference 2013: Big Data and The Cloud at Yahoo!
SAP Technology Services Conference 2013: Big Data and The Cloud at Yahoo! SAP Technology Services Conference 2013: Big Data and The Cloud at Yahoo!
SAP Technology Services Conference 2013: Big Data and The Cloud at Yahoo! Sumeet Singh
 

Ähnlich wie Web 3.0 Emerging (20)

Semantic Web Science
Semantic Web ScienceSemantic Web Science
Semantic Web Science
 
Making things findable
Making things findableMaking things findable
Making things findable
 
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
 
Spivack Blogtalk 2008
Spivack Blogtalk 2008Spivack Blogtalk 2008
Spivack Blogtalk 2008
 
Semantic Web, e-commerce
Semantic Web, e-commerceSemantic Web, e-commerce
Semantic Web, e-commerce
 
HKU Data Curation MLIM7350 Class 10
HKU Data Curation MLIM7350 Class 10HKU Data Curation MLIM7350 Class 10
HKU Data Curation MLIM7350 Class 10
 
Linked Open Government Data and the Semantic Web
Linked Open Government Data and the Semantic WebLinked Open Government Data and the Semantic Web
Linked Open Government Data and the Semantic Web
 
Evolution Towards Web 3.0: The Semantic Web
Evolution Towards Web 3.0: The Semantic WebEvolution Towards Web 3.0: The Semantic Web
Evolution Towards Web 3.0: The Semantic Web
 
Web Search And Mining (Ntuim)
Web Search And Mining (Ntuim)Web Search And Mining (Ntuim)
Web Search And Mining (Ntuim)
 
Doing Clever Things with the Semantic Web
Doing Clever Things with the Semantic WebDoing Clever Things with the Semantic Web
Doing Clever Things with the Semantic Web
 
Big data and APIs for PHP developers - SXSW 2011
Big data and APIs for PHP developers - SXSW 2011Big data and APIs for PHP developers - SXSW 2011
Big data and APIs for PHP developers - SXSW 2011
 
Intelligentcontent2009
Intelligentcontent2009Intelligentcontent2009
Intelligentcontent2009
 
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
 
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 2.0
Semantic Web 2.0Semantic Web 2.0
Semantic Web 2.0
 
Data science training institute in hyderabad
Data science training institute in hyderabadData science training institute in hyderabad
Data science training institute in hyderabad
 
Nova Spivack - Semantic Web Talk
Nova Spivack - Semantic Web TalkNova Spivack - Semantic Web Talk
Nova Spivack - Semantic Web Talk
 
01_intro.pfwekfmwEKFHswfuhSWFYUGsduyfgSWY6FEWUFpt
01_intro.pfwekfmwEKFHswfuhSWFYUGsduyfgSWY6FEWUFpt01_intro.pfwekfmwEKFHswfuhSWFYUGsduyfgSWY6FEWUFpt
01_intro.pfwekfmwEKFHswfuhSWFYUGsduyfgSWY6FEWUFpt
 
Technology Trends
Technology TrendsTechnology Trends
Technology Trends
 
SAP Technology Services Conference 2013: Big Data and The Cloud at Yahoo!
SAP Technology Services Conference 2013: Big Data and The Cloud at Yahoo! SAP Technology Services Conference 2013: Big Data and The Cloud at Yahoo!
SAP Technology Services Conference 2013: Big Data and The Cloud at Yahoo!
 

Mehr von James Hendler

Knowing what AI Systems Don't know and Why it matters
Knowing what AI  Systems Don't know and Why it mattersKnowing what AI  Systems Don't know and Why it matters
Knowing what AI Systems Don't know and Why it mattersJames Hendler
 
Exploring the Boundaries of Artificial Intelligence (or "Modern AI")
Exploring the Boundaries of Artificial Intelligence (or "Modern AI")Exploring the Boundaries of Artificial Intelligence (or "Modern AI")
Exploring the Boundaries of Artificial Intelligence (or "Modern AI")James Hendler
 
Tragedy of the Data Commons (ODSC-East, 2021)
Tragedy of the Data Commons (ODSC-East, 2021)Tragedy of the Data Commons (ODSC-East, 2021)
Tragedy of the Data Commons (ODSC-East, 2021)James Hendler
 
Tragedy of the (Data) Commons
Tragedy of the (Data) CommonsTragedy of the (Data) Commons
Tragedy of the (Data) CommonsJames Hendler
 
Knowledge Graph Semantics/Interoperability
Knowledge Graph Semantics/InteroperabilityKnowledge Graph Semantics/Interoperability
Knowledge Graph Semantics/InteroperabilityJames Hendler
 
The Future(s) of the World Wide Web
The Future(s) of the World Wide WebThe Future(s) of the World Wide Web
The Future(s) of the World Wide WebJames Hendler
 
Enhancing Precision Wellness with Personal Health Knowledge Graphs
Enhancing Precision Wellness with Personal Health Knowledge Graphs Enhancing Precision Wellness with Personal Health Knowledge Graphs
Enhancing Precision Wellness with Personal Health Knowledge Graphs James Hendler
 
The Future of AI: Going Beyond Deep Learning, Watson, and the Semantic Web
The Future of AI: Going BeyondDeep Learning, Watson, and the Semantic WebThe Future of AI: Going BeyondDeep Learning, Watson, and the Semantic Web
The Future of AI: Going Beyond Deep Learning, Watson, and the Semantic WebJames Hendler
 
Capacity Building: Data Science in the University At Rensselaer Polytechnic ...
Capacity Building: Data Science in the University  At Rensselaer Polytechnic ...Capacity Building: Data Science in the University  At Rensselaer Polytechnic ...
Capacity Building: Data Science in the University At Rensselaer Polytechnic ...James Hendler
 
Enhancing Precision Wellness with Knowledge Graphs and Semantic Analytics: O...
Enhancing Precision Wellness with  Knowledge Graphs and Semantic Analytics: O...Enhancing Precision Wellness with  Knowledge Graphs and Semantic Analytics: O...
Enhancing Precision Wellness with Knowledge Graphs and Semantic Analytics: O...James Hendler
 
KR in the age of Deep Learning
KR in the age of Deep LearningKR in the age of Deep Learning
KR in the age of Deep LearningJames Hendler
 
Digital Archiving, The Semantic Web, and Modern AI
Digital Archiving, The Semantic Web, and Modern AIDigital Archiving, The Semantic Web, and Modern AI
Digital Archiving, The Semantic Web, and Modern AIJames Hendler
 
The Unreasonable Effectiveness of Metadata
The Unreasonable Effectiveness of MetadataThe Unreasonable Effectiveness of Metadata
The Unreasonable Effectiveness of MetadataJames Hendler
 
Social Machines - 2017 Update (University of Iowa)
Social Machines - 2017 Update (University of Iowa)Social Machines - 2017 Update (University of Iowa)
Social Machines - 2017 Update (University of Iowa)James Hendler
 
Social Machines: The coming collision of Artificial Intelligence, Social Netw...
Social Machines: The coming collision of Artificial Intelligence, Social Netw...Social Machines: The coming collision of Artificial Intelligence, Social Netw...
Social Machines: The coming collision of Artificial Intelligence, Social Netw...James Hendler
 
Knowledge Representation in the Age of Deep Learning, Watson, and the Semanti...
Knowledge Representation in the Age of Deep Learning, Watson, and the Semanti...Knowledge Representation in the Age of Deep Learning, Watson, and the Semanti...
Knowledge Representation in the Age of Deep Learning, Watson, and the Semanti...James Hendler
 
Artificial Intelligence: Existential Threat or Our Best Hope for the Future?
Artificial Intelligence: Existential Threat or Our Best Hope for the Future?Artificial Intelligence: Existential Threat or Our Best Hope for the Future?
Artificial Intelligence: Existential Threat or Our Best Hope for the Future?James Hendler
 
On Beyond OWL: challenges for ontologies on the Web
On Beyond OWL: challenges for ontologies on the WebOn Beyond OWL: challenges for ontologies on the Web
On Beyond OWL: challenges for ontologies on the WebJames Hendler
 
Broad Data (India 2015)
Broad Data (India 2015)Broad Data (India 2015)
Broad Data (India 2015)James Hendler
 

Mehr von James Hendler (20)

Knowing what AI Systems Don't know and Why it matters
Knowing what AI  Systems Don't know and Why it mattersKnowing what AI  Systems Don't know and Why it matters
Knowing what AI Systems Don't know and Why it matters
 
Exploring the Boundaries of Artificial Intelligence (or "Modern AI")
Exploring the Boundaries of Artificial Intelligence (or "Modern AI")Exploring the Boundaries of Artificial Intelligence (or "Modern AI")
Exploring the Boundaries of Artificial Intelligence (or "Modern AI")
 
Tragedy of the Data Commons (ODSC-East, 2021)
Tragedy of the Data Commons (ODSC-East, 2021)Tragedy of the Data Commons (ODSC-East, 2021)
Tragedy of the Data Commons (ODSC-East, 2021)
 
Tragedy of the (Data) Commons
Tragedy of the (Data) CommonsTragedy of the (Data) Commons
Tragedy of the (Data) Commons
 
Knowledge Graph Semantics/Interoperability
Knowledge Graph Semantics/InteroperabilityKnowledge Graph Semantics/Interoperability
Knowledge Graph Semantics/Interoperability
 
The Future(s) of the World Wide Web
The Future(s) of the World Wide WebThe Future(s) of the World Wide Web
The Future(s) of the World Wide Web
 
Enhancing Precision Wellness with Personal Health Knowledge Graphs
Enhancing Precision Wellness with Personal Health Knowledge Graphs Enhancing Precision Wellness with Personal Health Knowledge Graphs
Enhancing Precision Wellness with Personal Health Knowledge Graphs
 
The Future of AI: Going Beyond Deep Learning, Watson, and the Semantic Web
The Future of AI: Going BeyondDeep Learning, Watson, and the Semantic WebThe Future of AI: Going BeyondDeep Learning, Watson, and the Semantic Web
The Future of AI: Going Beyond Deep Learning, Watson, and the Semantic Web
 
Capacity Building: Data Science in the University At Rensselaer Polytechnic ...
Capacity Building: Data Science in the University  At Rensselaer Polytechnic ...Capacity Building: Data Science in the University  At Rensselaer Polytechnic ...
Capacity Building: Data Science in the University At Rensselaer Polytechnic ...
 
Enhancing Precision Wellness with Knowledge Graphs and Semantic Analytics: O...
Enhancing Precision Wellness with  Knowledge Graphs and Semantic Analytics: O...Enhancing Precision Wellness with  Knowledge Graphs and Semantic Analytics: O...
Enhancing Precision Wellness with Knowledge Graphs and Semantic Analytics: O...
 
KR in the age of Deep Learning
KR in the age of Deep LearningKR in the age of Deep Learning
KR in the age of Deep Learning
 
Digital Archiving, The Semantic Web, and Modern AI
Digital Archiving, The Semantic Web, and Modern AIDigital Archiving, The Semantic Web, and Modern AI
Digital Archiving, The Semantic Web, and Modern AI
 
The Unreasonable Effectiveness of Metadata
The Unreasonable Effectiveness of MetadataThe Unreasonable Effectiveness of Metadata
The Unreasonable Effectiveness of Metadata
 
Social Machines - 2017 Update (University of Iowa)
Social Machines - 2017 Update (University of Iowa)Social Machines - 2017 Update (University of Iowa)
Social Machines - 2017 Update (University of Iowa)
 
Social Machines: The coming collision of Artificial Intelligence, Social Netw...
Social Machines: The coming collision of Artificial Intelligence, Social Netw...Social Machines: The coming collision of Artificial Intelligence, Social Netw...
Social Machines: The coming collision of Artificial Intelligence, Social Netw...
 
Knowledge Representation in the Age of Deep Learning, Watson, and the Semanti...
Knowledge Representation in the Age of Deep Learning, Watson, and the Semanti...Knowledge Representation in the Age of Deep Learning, Watson, and the Semanti...
Knowledge Representation in the Age of Deep Learning, Watson, and the Semanti...
 
Wither OWL
Wither OWLWither OWL
Wither OWL
 
Artificial Intelligence: Existential Threat or Our Best Hope for the Future?
Artificial Intelligence: Existential Threat or Our Best Hope for the Future?Artificial Intelligence: Existential Threat or Our Best Hope for the Future?
Artificial Intelligence: Existential Threat or Our Best Hope for the Future?
 
On Beyond OWL: challenges for ontologies on the Web
On Beyond OWL: challenges for ontologies on the WebOn Beyond OWL: challenges for ontologies on the Web
On Beyond OWL: challenges for ontologies on the Web
 
Broad Data (India 2015)
Broad Data (India 2015)Broad Data (India 2015)
Broad Data (India 2015)
 

Kürzlich hochgeladen

Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jisc
 
Google Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptxGoogle Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptxDr. Sarita Anand
 
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxEsquimalt MFRC
 
Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - Englishneillewis46
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfNirmal Dwivedi
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsMebane Rash
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...Nguyen Thanh Tu Collection
 
21st_Century_Skills_Framework_Final_Presentation_2.pptx
21st_Century_Skills_Framework_Final_Presentation_2.pptx21st_Century_Skills_Framework_Final_Presentation_2.pptx
21st_Century_Skills_Framework_Final_Presentation_2.pptxJoelynRubio1
 
Interdisciplinary_Insights_Data_Collection_Methods.pptx
Interdisciplinary_Insights_Data_Collection_Methods.pptxInterdisciplinary_Insights_Data_Collection_Methods.pptx
Interdisciplinary_Insights_Data_Collection_Methods.pptxPooja Bhuva
 
How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17Celine George
 
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSCeline George
 
REMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptxREMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptxDr. Ravikiran H M Gowda
 
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptxHMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptxmarlenawright1
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxDenish Jangid
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...Poonam Aher Patil
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxAreebaZafar22
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibitjbellavia9
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...ZurliaSoop
 
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...Nguyen Thanh Tu Collection
 

Kürzlich hochgeladen (20)

Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)
 
Google Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptxGoogle Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptx
 
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
 
Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - English
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 
21st_Century_Skills_Framework_Final_Presentation_2.pptx
21st_Century_Skills_Framework_Final_Presentation_2.pptx21st_Century_Skills_Framework_Final_Presentation_2.pptx
21st_Century_Skills_Framework_Final_Presentation_2.pptx
 
Interdisciplinary_Insights_Data_Collection_Methods.pptx
Interdisciplinary_Insights_Data_Collection_Methods.pptxInterdisciplinary_Insights_Data_Collection_Methods.pptx
Interdisciplinary_Insights_Data_Collection_Methods.pptx
 
How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17
 
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POS
 
REMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptxREMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptx
 
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptxHMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibit
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
 
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
 

Web 3.0 Emerging

  • 1. Web 3.0 emerges… Jim Hendler Tetherless World Professor of Computer and Cognitive Science Assistant Dean of Information Technology and Web Science Rensselaer Polytechnic Institute http://www.cs.rpi.edu/~hendler
  • 2.  
  • 3. The Semantic Web (ca. 2001) (Berners-Lee, Hendler, Lassila; 2001)
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12. cf. Yahoo mixes RDF with other technologies: at Web scale Dave Beckett, SemTech 08 http://www.semantic-conference.com/session/733/
  • 13.
  • 14. The data is out there Example: the linked open data cloud now has tens of billions of triples and is growing rapidly
  • 16.
  • 17.
  • 19. Pump through to Google Viz for demos
  • 21. Adding some Web magic Web Analytics Social Data Networks External Links
  • 23. Linked Data (RDF, SPARQL) Semantic Web (RDFS, owl) Web 3.0 Web 2.0 Web 3.0 extends current Web applications using Semantic Web technologies and graph-based, open data.
  • 24. Semantic Search IEEE Computer, Jan 2010; IEEE Computing Now, Feb 2010 (free)
  • 25. Semantic Search examples T2 (twine.com) TipTop ( feeltiptop.com )
  • 26. Web 3.0 examples Semantic classified (bintro.com)
  • 29. Web 3.0 examples Social database (freebase.com)
  • 30. Tiptop health Ok, so we have a way to go on this one 
  • 31.
  • 32. 1B computers (mostly owned by a few large companies) 3B cell phones (most are Web enable)
  • 33. Sem Web going mobile? (Add social contexts)
  • 34.
  • 35. What’s next? Still, like many researchers working in this area, Hendler is already looking beyond emerging Semantic Web strategies and related technologies that are now collectively called Web 3.0. “This stuff is new and exciting,” he says. “ But I look at it this way: I started playing with the Semantic Web back in the 1990s. As a researcher, I’m not content to sit around and exploit Web 3.0; my job is to help create Web 4.0.” “Engineering the Web’s Third Decade,” CACM March, 2010

Hinweis der Redaktion

  1. Ora
  2. Ora
  3. And for 4.0 - one big change is the move to mobile computing – there are now many billions of more cellular phones than laptops in the world, and these machines are becoming more and more capable – we need to combine communications and information technology to create the mobile Web
  4. The slogan of Rensselaer is “Why not change the world” – with a combination of Web, Data and Communications technology, that is just what we are doing!