SlideShare une entreprise Scribd logo
1  sur  32
Semantic Web Science 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 @jahendler (twitter)
Following Lazlo
Punchline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Sem Web 2010 4/2010
Semantic Web 2010 7/2010
Semantic Web 2010 11/2010
Sem Web 2010 7/2010
Sem Web 2010 8/2010
Sem Web 2010 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Friend of a Friend (our former favorite example) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
FOAF Network has been  explored as Social network  per se
Foaf complicated compared to OGP (Facebook’s Open Graph Protocol) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
OGP use growing quickly Facebook incentivizing use of RDFa like buttons 15,178 sites of top 1,000,000 as of 3/3/11
OGP creates a fast-growing,  multiply-labeled, network FB reports ~ 10-15% of  > 3,000,000 likes per day!
Important Real World Use Case: Government Data Sharing January 1, 2009 “ Openness will strengthen our democracy and promote efficiency and effectiveness in Government.” --- President Obama Putting Govt Data online- Data.gov.uk beta May 21, 2009 January 19, 2010 data.gov.uk online May 21, 2010 data.gov online data.gov relaunch with semantic web featured June30,2009 December 8, 2009 “ Open Government Directive” released 2009 2010 … 57 Data Sets ~6000 Data Set ~2000 Data Sets >305,000 Data Sets
Government Mashups and Applications See more than 50 of these at http://logd.tw.rpi.edu
Linking GDP of the US and China GDP of China (Billion Chinese Yuan ) GDP of the US (Billion Dollar) [Temporal Mashup] bea.gov + federalreserve.gov +stats.gov.cn
Linking GDP of the US and China GDP of China (Billion Chinese Yuan ) GDP of the US (Billion Dollar) [Temporal Mashup] bea.gov + federalreserve.gov +stats.gov.cn  This mashup was built in less than 8 hours – including conversion of data, web interface, and visualization!
Mashups allow comparisons that single data sets cannot Trends in Smoking Prevalence, Tobacco Policy Coverage and Tobacco Prices (1991-2007)  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Govt data linked to Social Media Metadata
There is a lot of workflow information in the mix derive derive create derive revision Convert Access Enhance Version SemDiff
A Web Science Challenge How can we search for data?
Effective open govt requires exploiting the  linked open govt network  http://linkeddata.org/
Effective open govt requires exploiting the  linked open govt network  Government Data is currently about ½ the cloud in size (~15B triples), 10s of thousands of links to other data (within and without)
Linked Open Data on the Web Linked Open Data – over 23B triples
Linked open data network Linked Open Data – over 23B triples in a sparsely connected graph of highly connected graphs (and we know very little about the properties of most of these, let alone of the whole)
Linked open data network The good news:  Web accessible, machine readable, anonymized and
Linked open data network Why is this hard?  Doubling in size every 10 months, very varied “authorities,” many different kinds of linking used (same URI, (sort of) same by assertion, (sort of) same by inference, transitive closures, …)
A new buzzword… Linked Data  (RDF, SPARQL) Semantic Web  (RDFS,  owl ) Web 3.0  Web 2.0 Web 3.0 extends current Web applications using Semantic Web, esp semantic and real-time search, technologies and graph-based, open data. Web (REST API)
And a new commercial motivator ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Punchline: Web and Network Science Challenge ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Questions? New edition includes OGP, Data.gov, …

Contenu connexe

Tendances

The changing landscape of search for business information
The changing landscape of search for business informationThe changing landscape of search for business information
The changing landscape of search for business informationvoginip
 
Structured Data and Semantic SEO
Structured Data and Semantic SEOStructured Data and Semantic SEO
Structured Data and Semantic SEOMatthew Brown
 
Leveraging the semantic web meetup, Semantic Search, Schema.org and more
Leveraging the semantic web meetup, Semantic Search, Schema.org and moreLeveraging the semantic web meetup, Semantic Search, Schema.org and more
Leveraging the semantic web meetup, Semantic Search, Schema.org and moreBarbaraStarr2009
 
Web Ontologies: Lessons Learned from Conceptual Modeling at Scale
Web Ontologies: Lessons Learned from Conceptual Modeling at ScaleWeb Ontologies: Lessons Learned from Conceptual Modeling at Scale
Web Ontologies: Lessons Learned from Conceptual Modeling at ScaleMartin Hepp
 
Seo; Cutting Through The Noise
Seo; Cutting Through The NoiseSeo; Cutting Through The Noise
Seo; Cutting Through The NoiseBill Slawski
 
Advertising with Linked Data in Web Content
Advertising with Linked Data in Web ContentAdvertising with Linked Data in Web Content
Advertising with Linked Data in Web ContentMartin Hepp
 
Done reread detecting phrase-level duplication on the world wide we
Done reread detecting phrase-level duplication on the world wide weDone reread detecting phrase-level duplication on the world wide we
Done reread detecting phrase-level duplication on the world wide weJames Arnold
 
Comparing Published Scientific Journal Articles to Their Pre-print Versions
Comparing Published Scientific Journal Articles  to Their Pre-print VersionsComparing Published Scientific Journal Articles  to Their Pre-print Versions
Comparing Published Scientific Journal Articles to Their Pre-print VersionsMartin Klein
 
Search Engine PPT For Students and Professionals
Search Engine PPT For Students and ProfessionalsSearch Engine PPT For Students and Professionals
Search Engine PPT For Students and ProfessionalsMüdît Ărørå
 
Search Engines After The Semanatic Web
Search Engines After The Semanatic WebSearch Engines After The Semanatic Web
Search Engines After The Semanatic Websamar_slideshare
 
Sunlight Labs & MongoDB @ MongoDC
Sunlight Labs & MongoDB @ MongoDCSunlight Labs & MongoDB @ MongoDC
Sunlight Labs & MongoDB @ MongoDCLuigi Montanez
 
Lesson3.1 weborganizationtext
Lesson3.1 weborganizationtextLesson3.1 weborganizationtext
Lesson3.1 weborganizationtextbibliotecas-aedfl
 
How to Reveal Hidden Relationships in Data and Risk Analytics
How to Reveal Hidden Relationships in Data and Risk AnalyticsHow to Reveal Hidden Relationships in Data and Risk Analytics
How to Reveal Hidden Relationships in Data and Risk AnalyticsOntotext
 
Effective Googling
Effective GooglingEffective Googling
Effective Googlingguest526b5c
 

Tendances (20)

The changing landscape of search for business information
The changing landscape of search for business informationThe changing landscape of search for business information
The changing landscape of search for business information
 
Structured Data and Semantic SEO
Structured Data and Semantic SEOStructured Data and Semantic SEO
Structured Data and Semantic SEO
 
Leveraging the semantic web meetup, Semantic Search, Schema.org and more
Leveraging the semantic web meetup, Semantic Search, Schema.org and moreLeveraging the semantic web meetup, Semantic Search, Schema.org and more
Leveraging the semantic web meetup, Semantic Search, Schema.org and more
 
Web Ontologies: Lessons Learned from Conceptual Modeling at Scale
Web Ontologies: Lessons Learned from Conceptual Modeling at ScaleWeb Ontologies: Lessons Learned from Conceptual Modeling at Scale
Web Ontologies: Lessons Learned from Conceptual Modeling at Scale
 
Seo; Cutting Through The Noise
Seo; Cutting Through The NoiseSeo; Cutting Through The Noise
Seo; Cutting Through The Noise
 
Spj110509
Spj110509Spj110509
Spj110509
 
Advertising with Linked Data in Web Content
Advertising with Linked Data in Web ContentAdvertising with Linked Data in Web Content
Advertising with Linked Data in Web Content
 
Data Scientist Why now?
Data Scientist Why now?Data Scientist Why now?
Data Scientist Why now?
 
Done reread detecting phrase-level duplication on the world wide we
Done reread detecting phrase-level duplication on the world wide weDone reread detecting phrase-level duplication on the world wide we
Done reread detecting phrase-level duplication on the world wide we
 
Linked Data past, present and futures
Linked Datapast, present and futuresLinked Datapast, present and futures
Linked Data past, present and futures
 
Comparing Published Scientific Journal Articles to Their Pre-print Versions
Comparing Published Scientific Journal Articles  to Their Pre-print VersionsComparing Published Scientific Journal Articles  to Their Pre-print Versions
Comparing Published Scientific Journal Articles to Their Pre-print Versions
 
Search Engine PPT For Students and Professionals
Search Engine PPT For Students and ProfessionalsSearch Engine PPT For Students and Professionals
Search Engine PPT For Students and Professionals
 
Search Engines After The Semanatic Web
Search Engines After The Semanatic WebSearch Engines After The Semanatic Web
Search Engines After The Semanatic Web
 
Sunlight Labs & MongoDB @ MongoDC
Sunlight Labs & MongoDB @ MongoDCSunlight Labs & MongoDB @ MongoDC
Sunlight Labs & MongoDB @ MongoDC
 
Querying the Web
Querying the WebQuerying the Web
Querying the Web
 
Lesson3.1 weborganizationtext
Lesson3.1 weborganizationtextLesson3.1 weborganizationtext
Lesson3.1 weborganizationtext
 
How to Reveal Hidden Relationships in Data and Risk Analytics
How to Reveal Hidden Relationships in Data and Risk AnalyticsHow to Reveal Hidden Relationships in Data and Risk Analytics
How to Reveal Hidden Relationships in Data and Risk Analytics
 
Open Data
Open DataOpen Data
Open Data
 
Effective Googling
Effective GooglingEffective Googling
Effective Googling
 
Effective Googling
Effective GooglingEffective Googling
Effective Googling
 

Similaire à Semantic Web Science

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
 
Making things findable
Making things findableMaking things findable
Making things findablePeter Mika
 
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
 
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
 
Spivack Blogtalk 2008
Spivack Blogtalk 2008Spivack Blogtalk 2008
Spivack Blogtalk 2008Blogtalk 2008
 
Semantic Web 2.0
Semantic Web 2.0Semantic Web 2.0
Semantic Web 2.0hchen1
 
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
 
Web3.0- How brands can take advantage of the semantic shift - Brandsential
Web3.0- How brands can take advantage of the semantic shift -  BrandsentialWeb3.0- How brands can take advantage of the semantic shift -  Brandsential
Web3.0- How brands can take advantage of the semantic shift - BrandsentialJeffrey V
 
Information Extraction and Linked Data Cloud
Information Extraction and Linked Data CloudInformation Extraction and Linked Data Cloud
Information Extraction and Linked Data CloudDhaval Thakker
 
Nova Spivack - Semantic Web Talk
Nova Spivack - Semantic Web TalkNova Spivack - Semantic Web Talk
Nova Spivack - Semantic Web Talksyawal
 
Big data and hadoop ecosystem essentials for managers
Big data and hadoop ecosystem essentials for managersBig data and hadoop ecosystem essentials for managers
Big data and hadoop ecosystem essentials for managersManjeet Singh Nagi
 
Explaining The Semantic Web
Explaining The Semantic WebExplaining The Semantic Web
Explaining The Semantic WebAditya Tuli
 
MuseoTorino, first italian project using a GraphDB, RDFa, Linked Open Data
MuseoTorino, first italian project using a GraphDB, RDFa, Linked Open DataMuseoTorino, first italian project using a GraphDB, RDFa, Linked Open Data
MuseoTorino, first italian project using a GraphDB, RDFa, Linked Open Data21Style
 
History page-brin thesis - anatomy of a large scale hypertextual web search...
History   page-brin thesis - anatomy of a large scale hypertextual web search...History   page-brin thesis - anatomy of a large scale hypertextual web search...
History page-brin thesis - anatomy of a large scale hypertextual web search...Bitsytask
 
What is the Semantic Web
What is the Semantic WebWhat is the Semantic Web
What is the Semantic WebJuan Sequeda
 
Future platform for internet of things
Future platform for internet of thingsFuture platform for internet of things
Future platform for internet of thingsColdbeans Software
 
Defining Web 2.0 and RIA
Defining Web 2.0 and RIADefining Web 2.0 and RIA
Defining Web 2.0 and RIAArielladog
 

Similaire à Semantic Web Science (20)

Broad Data
Broad DataBroad Data
Broad Data
 
Web 3.0 Emerging
Web 3.0 EmergingWeb 3.0 Emerging
Web 3.0 Emerging
 
Semantic Web, e-commerce
Semantic Web, e-commerceSemantic Web, e-commerce
Semantic Web, e-commerce
 
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
 
Making things findable
Making things findableMaking things findable
Making things findable
 
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
 
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
 
Spivack Blogtalk 2008
Spivack Blogtalk 2008Spivack Blogtalk 2008
Spivack Blogtalk 2008
 
Semantic Web 2.0
Semantic Web 2.0Semantic Web 2.0
Semantic Web 2.0
 
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
 
Web3.0- How brands can take advantage of the semantic shift - Brandsential
Web3.0- How brands can take advantage of the semantic shift -  BrandsentialWeb3.0- How brands can take advantage of the semantic shift -  Brandsential
Web3.0- How brands can take advantage of the semantic shift - Brandsential
 
Information Extraction and Linked Data Cloud
Information Extraction and Linked Data CloudInformation Extraction and Linked Data Cloud
Information Extraction and Linked Data Cloud
 
Nova Spivack - Semantic Web Talk
Nova Spivack - Semantic Web TalkNova Spivack - Semantic Web Talk
Nova Spivack - Semantic Web Talk
 
Big data and hadoop ecosystem essentials for managers
Big data and hadoop ecosystem essentials for managersBig data and hadoop ecosystem essentials for managers
Big data and hadoop ecosystem essentials for managers
 
Explaining The Semantic Web
Explaining The Semantic WebExplaining The Semantic Web
Explaining The Semantic Web
 
MuseoTorino, first italian project using a GraphDB, RDFa, Linked Open Data
MuseoTorino, first italian project using a GraphDB, RDFa, Linked Open DataMuseoTorino, first italian project using a GraphDB, RDFa, Linked Open Data
MuseoTorino, first italian project using a GraphDB, RDFa, Linked Open Data
 
History page-brin thesis - anatomy of a large scale hypertextual web search...
History   page-brin thesis - anatomy of a large scale hypertextual web search...History   page-brin thesis - anatomy of a large scale hypertextual web search...
History page-brin thesis - anatomy of a large scale hypertextual web search...
 
What is the Semantic Web
What is the Semantic WebWhat is the Semantic Web
What is the Semantic Web
 
Future platform for internet of things
Future platform for internet of thingsFuture platform for internet of things
Future platform for internet of things
 
Defining Web 2.0 and RIA
Defining Web 2.0 and RIADefining Web 2.0 and RIA
Defining Web 2.0 and RIA
 

Plus de 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
 

Plus de 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)
 

Dernier

ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...FIDO Alliance
 
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...FIDO Alliance
 
Your enemies use GenAI too - staying ahead of fraud with Neo4j
Your enemies use GenAI too - staying ahead of fraud with Neo4jYour enemies use GenAI too - staying ahead of fraud with Neo4j
Your enemies use GenAI too - staying ahead of fraud with Neo4jNeo4j
 
Event-Driven Architecture Masterclass: Challenges in Stream Processing
Event-Driven Architecture Masterclass: Challenges in Stream ProcessingEvent-Driven Architecture Masterclass: Challenges in Stream Processing
Event-Driven Architecture Masterclass: Challenges in Stream ProcessingScyllaDB
 
The Metaverse: Are We There Yet?
The  Metaverse:    Are   We  There  Yet?The  Metaverse:    Are   We  There  Yet?
The Metaverse: Are We There Yet?Mark Billinghurst
 
2024 May Patch Tuesday
2024 May Patch Tuesday2024 May Patch Tuesday
2024 May Patch TuesdayIvanti
 
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdfHow Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdfFIDO Alliance
 
AI mind or machine power point presentation
AI mind or machine power point presentationAI mind or machine power point presentation
AI mind or machine power point presentationyogeshlabana357357
 
Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...
Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...
Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...ScyllaDB
 
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...marcuskenyatta275
 
Collecting & Temporal Analysis of Behavioral Web Data - Tales From The Inside
Collecting & Temporal Analysis of Behavioral Web Data - Tales From The InsideCollecting & Temporal Analysis of Behavioral Web Data - Tales From The Inside
Collecting & Temporal Analysis of Behavioral Web Data - Tales From The InsideStefan Dietze
 
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPTiSEO AI
 
Intro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджераIntro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджераMark Opanasiuk
 
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfLinux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfFIDO Alliance
 
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptxHarnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptxFIDO Alliance
 
Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...
Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...
Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...FIDO Alliance
 
Google I/O Extended 2024 Warsaw
Google I/O Extended 2024 WarsawGoogle I/O Extended 2024 Warsaw
Google I/O Extended 2024 WarsawGDSC PJATK
 
Hyatt driving innovation and exceptional customer experiences with FIDO passw...
Hyatt driving innovation and exceptional customer experiences with FIDO passw...Hyatt driving innovation and exceptional customer experiences with FIDO passw...
Hyatt driving innovation and exceptional customer experiences with FIDO passw...FIDO Alliance
 
Oauth 2.0 Introduction and Flows with MuleSoft
Oauth 2.0 Introduction and Flows with MuleSoftOauth 2.0 Introduction and Flows with MuleSoft
Oauth 2.0 Introduction and Flows with MuleSoftshyamraj55
 

Dernier (20)

ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
 
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
 
Your enemies use GenAI too - staying ahead of fraud with Neo4j
Your enemies use GenAI too - staying ahead of fraud with Neo4jYour enemies use GenAI too - staying ahead of fraud with Neo4j
Your enemies use GenAI too - staying ahead of fraud with Neo4j
 
Overview of Hyperledger Foundation
Overview of Hyperledger FoundationOverview of Hyperledger Foundation
Overview of Hyperledger Foundation
 
Event-Driven Architecture Masterclass: Challenges in Stream Processing
Event-Driven Architecture Masterclass: Challenges in Stream ProcessingEvent-Driven Architecture Masterclass: Challenges in Stream Processing
Event-Driven Architecture Masterclass: Challenges in Stream Processing
 
The Metaverse: Are We There Yet?
The  Metaverse:    Are   We  There  Yet?The  Metaverse:    Are   We  There  Yet?
The Metaverse: Are We There Yet?
 
2024 May Patch Tuesday
2024 May Patch Tuesday2024 May Patch Tuesday
2024 May Patch Tuesday
 
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdfHow Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
 
AI mind or machine power point presentation
AI mind or machine power point presentationAI mind or machine power point presentation
AI mind or machine power point presentation
 
Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...
Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...
Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...
 
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
 
Collecting & Temporal Analysis of Behavioral Web Data - Tales From The Inside
Collecting & Temporal Analysis of Behavioral Web Data - Tales From The InsideCollecting & Temporal Analysis of Behavioral Web Data - Tales From The Inside
Collecting & Temporal Analysis of Behavioral Web Data - Tales From The Inside
 
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
 
Intro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджераIntro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджера
 
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfLinux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
 
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptxHarnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
 
Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...
Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...
Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...
 
Google I/O Extended 2024 Warsaw
Google I/O Extended 2024 WarsawGoogle I/O Extended 2024 Warsaw
Google I/O Extended 2024 Warsaw
 
Hyatt driving innovation and exceptional customer experiences with FIDO passw...
Hyatt driving innovation and exceptional customer experiences with FIDO passw...Hyatt driving innovation and exceptional customer experiences with FIDO passw...
Hyatt driving innovation and exceptional customer experiences with FIDO passw...
 
Oauth 2.0 Introduction and Flows with MuleSoft
Oauth 2.0 Introduction and Flows with MuleSoftOauth 2.0 Introduction and Flows with MuleSoft
Oauth 2.0 Introduction and Flows with MuleSoft
 

Semantic Web Science

  • 1. Semantic Web Science 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 @jahendler (twitter)
  • 3.
  • 4. Sem Web 2010 4/2010
  • 7. Sem Web 2010 7/2010
  • 8. Sem Web 2010 8/2010
  • 9.
  • 10.
  • 11. FOAF Network has been explored as Social network per se
  • 12.
  • 13. OGP use growing quickly Facebook incentivizing use of RDFa like buttons 15,178 sites of top 1,000,000 as of 3/3/11
  • 14. OGP creates a fast-growing, multiply-labeled, network FB reports ~ 10-15% of > 3,000,000 likes per day!
  • 15. Important Real World Use Case: Government Data Sharing January 1, 2009 “ Openness will strengthen our democracy and promote efficiency and effectiveness in Government.” --- President Obama Putting Govt Data online- Data.gov.uk beta May 21, 2009 January 19, 2010 data.gov.uk online May 21, 2010 data.gov online data.gov relaunch with semantic web featured June30,2009 December 8, 2009 “ Open Government Directive” released 2009 2010 … 57 Data Sets ~6000 Data Set ~2000 Data Sets >305,000 Data Sets
  • 16. Government Mashups and Applications See more than 50 of these at http://logd.tw.rpi.edu
  • 17. Linking GDP of the US and China GDP of China (Billion Chinese Yuan ) GDP of the US (Billion Dollar) [Temporal Mashup] bea.gov + federalreserve.gov +stats.gov.cn
  • 18. Linking GDP of the US and China GDP of China (Billion Chinese Yuan ) GDP of the US (Billion Dollar) [Temporal Mashup] bea.gov + federalreserve.gov +stats.gov.cn This mashup was built in less than 8 hours – including conversion of data, web interface, and visualization!
  • 19.
  • 20. Govt data linked to Social Media Metadata
  • 21. There is a lot of workflow information in the mix derive derive create derive revision Convert Access Enhance Version SemDiff
  • 22. A Web Science Challenge How can we search for data?
  • 23. Effective open govt requires exploiting the linked open govt network http://linkeddata.org/
  • 24. Effective open govt requires exploiting the linked open govt network Government Data is currently about ½ the cloud in size (~15B triples), 10s of thousands of links to other data (within and without)
  • 25. Linked Open Data on the Web Linked Open Data – over 23B triples
  • 26. Linked open data network Linked Open Data – over 23B triples in a sparsely connected graph of highly connected graphs (and we know very little about the properties of most of these, let alone of the whole)
  • 27. Linked open data network The good news: Web accessible, machine readable, anonymized and
  • 28. Linked open data network Why is this hard? Doubling in size every 10 months, very varied “authorities,” many different kinds of linking used (same URI, (sort of) same by assertion, (sort of) same by inference, transitive closures, …)
  • 29. A new buzzword… Linked Data (RDF, SPARQL) Semantic Web (RDFS, owl ) Web 3.0 Web 2.0 Web 3.0 extends current Web applications using Semantic Web, esp semantic and real-time search, technologies and graph-based, open data. Web (REST API)
  • 30.
  • 31.
  • 32. Questions? New edition includes OGP, Data.gov, …