SlideShare a Scribd company logo
Semantic Web in Context Segment at TLT Center “Web2.0 Day” Eric Hoffer Second Integral at Seton Hall July 16, 2008
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object]
So, about me marketing, strategy, people, processes, puzzles, tools, usability, products, productivity…  research, analytics, financial markets, work, the world, people… living and doing their jobs discovery – information – connecting - its about helping real people living and doing their work unlock “SME-tise” and enable the many
me (one more thing)… I’m interested in lots of different things... Visual Usability Running Value Networks Finance me
me (one more thing)… I’m interested in lots of different things...  particularly where they interact…
me (one more thing)… I’m interested in lots of different things...  particularly where they interact… and in their outer reaches…
me (one more thing)… I’m interested in lots of different things...  particularly where they interact… and in their outer reaches… in the interstices - where they overlap. Biology and Anthropology System Dynamics and Economics Usability and Value Networks As you might experience with:
Interstices Why am I telling you this? To me,  this  is what semantic technologies and the Semantic Web are about. Enabling the crossing of lines, bridging gaps, unlocking expertise, getting things done… for people.
Technical aspects… ,[object Object]
Web Progression ,[object Object],[object Object],[object Object],(apologies in advance for using a version-type naming scheme – which doesn’t really exist).
Web (original, Web1.0) - about ,[object Object],[object Object]
Web1.0 (links) (Image borrowed from Josh Bancroft’s tinyscreenfuls.com) ,[object Object]
Web Progression ,[object Object],[object Object],[object Object]
Web Progression ,[object Object],[object Object],[object Object]
Web Progression ,[object Object],[object Object],[object Object]
Web2.0 - about ,[object Object],[object Object],[object Object],[object Object]
Web2.0 – elements ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Web1.0    2.0 (how?) ,[object Object],[object Object],[object Object],Image source: http://www.flickr.com/photos/fleur-design
Web2.0 – examples ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Web2.0 (reviews, rating, tagging)
Web Progression ,[object Object],[object Object],[object Object]
Web Progression ,[object Object],[object Object],[object Object]
Great stuff, Web2.0.   So what’s missing? ,[object Object],[object Object],[object Object]
[object Object],or semantic web, Web3.0…
[object Object],[object Object]
Web3.0/Semantic Web – about ,[object Object],[object Object]
Web3.0/Semantic Web – about ,[object Object],[object Object],[object Object]
Web Progression ,[object Object],[object Object],[object Object]
Web Progression ,[object Object],[object Object],[object Object]
BUT HOW, and to what end? ,[object Object],[object Object],[object Object],[object Object]
Mashing
Sharing + Tagging + Mapping See  live example
Isn’t all that just Web2.0?  What’s the Semantic Web part? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Web3.0  ,[object Object],[object Object],[object Object],[object Object]
 
Web2.0    3.0 – how? ,[object Object],Source: http://www.flickr.com/photos/suzanneandsimon Adding granularity to the people-bound portion of what is on the page – so the computer can use it to help us do those things.
Web2.0    3.0 – how? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What about the Semantic Web jargon?  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Remember this slide? ,[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]
Remember this slide? ,[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],This is the granular form. But SW folks now get that regular people brought in via web2.0 won’t write this. So don’t worry about it.
For those who live in spreadsheets ,[object Object],[object Object],[object Object],[object Object],[object Object],See animation
Web2>3  Let’s go back to tagging (tag clouds) See  Del.icio.us ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Web2>3 (clustering) See  ZigTag  site
NLP and Entity Extraction  (using Calais) Try this live by going to http://sws.clearforest.com/calaisviewer/ In this example we discussed Calais using natural language processing to “read” text submissions, re-displaying with items marked and classified. We then considered how this can enable asking the web questions on a grand scale, and tabulation of results of NLP from millions of pages.
… applied to blogging  (e.g. Zemanta or Tagaroo) See  live example In this example we looked at how the Zemanta plug-in “reads” a blog post while you are writing it, and provides images and links for you to include in the post – based on its “sense” that these are related to what you are writing.
… embedding semantics  (e.g. using SIOC)
If you want to get into the weeds a bit ,[object Object],[object Object],[object Object],[object Object],[object Object],See Trueknowledge at  http://beta.trueknowledge.com/  and try finding an entity (person, place, event, thing…) and try out “Add Knowledge” to see the process of unambiguous entry.
Linking Data  (global scale – possibilities emerge) Source: DERI http://richard.cyganiak.de/2007/10/lod/
Progression from 50,000 feet
Technical overview
Web Science Source: WSRI -  http:// webscience.org /
Web Science Source: WSRI -  http:// webscience.org /
Web Science Source: WSRI -  http:// webscience.org /
Other links and examples http://webscience.org/  and  http://www.w3.org/2001/sw/ http:// sws.clearforest.com/calaisviewer /   http://wiki.dbpedia.org  and  http://deri.org/  and  http://sioc-project.org/ http://www.talis.com/platform/podcasts http:// danbri.org /   http:// mashmaker.intel.com /web/  - learning masher http:// beta.trueknowledge.com http://www.readwriteweb.com/  (e.g archives/trueknowledge_demo.php) http:// healthmap.org /en  and  http:// tagmaps.research.yahoo.com /
[object Object],[object Object],[object Object],[object Object],[object Object]

More Related Content

What's hot

The Social Semantic Web and Linked Data
The Social Semantic Web and Linked DataThe Social Semantic Web and Linked Data
The Social Semantic Web and Linked Data
Alexandre Passant
 
About the Social Semantic Web
About the Social Semantic WebAbout the Social Semantic Web
About the Social Semantic Web
Web Information Systems, TU Delft
 
The Social Semantic Web
The Social Semantic WebThe Social Semantic Web
The Social Semantic Web
John Breslin
 
Semantic web
Semantic webSemantic web
Semantic web
RehithaP
 
Web 3.0 explained with a stamp (pt I: the basics)
Web 3.0 explained with a stamp (pt I: the basics)Web 3.0 explained with a stamp (pt I: the basics)
Web 3.0 explained with a stamp (pt I: the basics)
Freek Bijl
 
Social Networks and the Semantic Web: a retrospective of the past 10 years
Social Networks and the Semantic Web: a retrospective of the past 10 yearsSocial Networks and the Semantic Web: a retrospective of the past 10 years
Social Networks and the Semantic Web: a retrospective of the past 10 years
Peter Mika
 
Semantic Web
Semantic WebSemantic Web
Semantic Web
prosunjitbiswas
 
Foaf Openid Milan
Foaf Openid MilanFoaf Openid Milan
Foaf Openid Milan
Dan Brickley
 
Web 3.0: What's Next
Web 3.0: What's NextWeb 3.0: What's Next
Web 3.0: What's Next
Nicole C. Engard
 
Tutorial: Social Semantics
Tutorial: Social SemanticsTutorial: Social Semantics
Tutorial: Social Semantics
Matthew Rowe
 
Web 1 2 3
Web 1 2 3Web 1 2 3
Web 1 2 3
londoncall
 
Web 3.0 :The Evolution of Web
Web 3.0:The Evolution of WebWeb 3.0:The Evolution of Web
Web 3.0 :The Evolution of Web
Niharjyoti Sarangi
 
Web Evolution Nova Spivack Twine
Web Evolution   Nova Spivack   TwineWeb Evolution   Nova Spivack   Twine
Web Evolution Nova Spivack Twine
Nova Spivack
 
The Semantic Web #1 - Overview
The Semantic Web #1 - OverviewThe Semantic Web #1 - Overview
The Semantic Web #1 - Overview
Myungjin Lee
 
Predicting Discussions on the Social Semantic Web
Predicting Discussions on the Social Semantic WebPredicting Discussions on the Social Semantic Web
Predicting Discussions on the Social Semantic WebMatthew Rowe
 
The Social Semantic Web
The Social Semantic Web The Social Semantic Web
The Social Semantic Web
John Breslin
 
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
 
Web 2.0 & Mashups: How People can Tap into the "Grid" for Fun & Profit
Web 2.0 & Mashups: How People can Tap into the "Grid" for Fun & ProfitWeb 2.0 & Mashups: How People can Tap into the "Grid" for Fun & Profit
Web 2.0 & Mashups: How People can Tap into the "Grid" for Fun & Profit
Pamela Fox
 
Web 3.0 (Presentation)
Web 3.0 (Presentation)Web 3.0 (Presentation)
Web 3.0 (Presentation)Allan Cho
 

What's hot (20)

The Social Semantic Web and Linked Data
The Social Semantic Web and Linked DataThe Social Semantic Web and Linked Data
The Social Semantic Web and Linked Data
 
About the Social Semantic Web
About the Social Semantic WebAbout the Social Semantic Web
About the Social Semantic Web
 
The Social Semantic Web
The Social Semantic WebThe Social Semantic Web
The Social Semantic Web
 
Semantic web
Semantic webSemantic web
Semantic web
 
Web 3.0 explained with a stamp (pt I: the basics)
Web 3.0 explained with a stamp (pt I: the basics)Web 3.0 explained with a stamp (pt I: the basics)
Web 3.0 explained with a stamp (pt I: the basics)
 
Social Networks and the Semantic Web: a retrospective of the past 10 years
Social Networks and the Semantic Web: a retrospective of the past 10 yearsSocial Networks and the Semantic Web: a retrospective of the past 10 years
Social Networks and the Semantic Web: a retrospective of the past 10 years
 
Semantic Web
Semantic WebSemantic Web
Semantic Web
 
Foaf Openid Milan
Foaf Openid MilanFoaf Openid Milan
Foaf Openid Milan
 
Web 3.0: What's Next
Web 3.0: What's NextWeb 3.0: What's Next
Web 3.0: What's Next
 
Tutorial: Social Semantics
Tutorial: Social SemanticsTutorial: Social Semantics
Tutorial: Social Semantics
 
Web 1 2 3
Web 1 2 3Web 1 2 3
Web 1 2 3
 
Web 3.0 :The Evolution of Web
Web 3.0:The Evolution of WebWeb 3.0:The Evolution of Web
Web 3.0 :The Evolution of Web
 
Semantic Web, an introduction
Semantic Web, an introductionSemantic Web, an introduction
Semantic Web, an introduction
 
Web Evolution Nova Spivack Twine
Web Evolution   Nova Spivack   TwineWeb Evolution   Nova Spivack   Twine
Web Evolution Nova Spivack Twine
 
The Semantic Web #1 - Overview
The Semantic Web #1 - OverviewThe Semantic Web #1 - Overview
The Semantic Web #1 - Overview
 
Predicting Discussions on the Social Semantic Web
Predicting Discussions on the Social Semantic WebPredicting Discussions on the Social Semantic Web
Predicting Discussions on the Social Semantic Web
 
The Social Semantic Web
The Social Semantic Web The Social Semantic Web
The Social Semantic Web
 
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...
 
Web 2.0 & Mashups: How People can Tap into the "Grid" for Fun & Profit
Web 2.0 & Mashups: How People can Tap into the "Grid" for Fun & ProfitWeb 2.0 & Mashups: How People can Tap into the "Grid" for Fun & Profit
Web 2.0 & Mashups: How People can Tap into the "Grid" for Fun & Profit
 
Web 3.0 (Presentation)
Web 3.0 (Presentation)Web 3.0 (Presentation)
Web 3.0 (Presentation)
 

Similar to Semantic Web, NON-technically speaking

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
Jeffrey V
 
Introduction to Semantic Web for GIS Practitioners
Introduction to Semantic Web for GIS PractitionersIntroduction to Semantic Web for GIS Practitioners
Introduction to Semantic Web for GIS PractitionersEmanuele Della Valle
 
Web 3 Peter Mika
Web 3 Peter MikaWeb 3 Peter Mika
Web 3 Peter MikaMediabistro
 
Semantic Web
Semantic WebSemantic Web
Semantic Web
Adarsh Kumar Yadav
 
Web 3.0? A look at the future of the World Wide Web
Web 3.0?  A look at the future of the World Wide WebWeb 3.0?  A look at the future of the World Wide Web
Web 3.0? A look at the future of the World Wide Web
rgkwml
 
Presentation web 3.0(part 1)
Presentation web 3.0(part 1)Presentation web 3.0(part 1)
Presentation web 3.0(part 1)
Abhishek Roy
 
knchndev-170222194025.pptx
knchndev-170222194025.pptxknchndev-170222194025.pptx
knchndev-170222194025.pptx
ArtiJain44
 
From bit-streams-to-life-streams-ajai-narendran-srishti-bangalore-stff-2011
From bit-streams-to-life-streams-ajai-narendran-srishti-bangalore-stff-2011From bit-streams-to-life-streams-ajai-narendran-srishti-bangalore-stff-2011
From bit-streams-to-life-streams-ajai-narendran-srishti-bangalore-stff-2011ajai
 
The 2.0 In Web 2.0
The 2.0 In Web 2.0The 2.0 In Web 2.0
The 2.0 In Web 2.0
shaurya shaurya
 
Semantic Web: Explanation
Semantic Web: ExplanationSemantic Web: Explanation
Semantic Web: Explanation
Anil Mishra
 
The semantic web
The semantic webThe semantic web
The semantic web
Dotkumo
 
Realizing a Semantic Web Application - ICWE 2010 Tutorial
Realizing a Semantic Web Application - ICWE 2010 TutorialRealizing a Semantic Web Application - ICWE 2010 Tutorial
Realizing a Semantic Web Application - ICWE 2010 Tutorial
Emanuele Della Valle
 
Spivack Blogtalk 2008
Spivack Blogtalk 2008Spivack Blogtalk 2008
Spivack Blogtalk 2008Blogtalk 2008
 
Relationships at the Heart of Semantic Web: Modeling, Discovering, Validating...
Relationships at the Heart of Semantic Web: Modeling, Discovering, Validating...Relationships at the Heart of Semantic Web: Modeling, Discovering, Validating...
Relationships at the Heart of Semantic Web: Modeling, Discovering, Validating...
Artificial Intelligence Institute at UofSC
 
Semantic web
Semantic webSemantic web
Semantic web
UT, San Antonio
 
Web 2.0 Rvce Mca
Web 2.0 Rvce McaWeb 2.0 Rvce Mca
Web 2.0 Rvce Mca
sundeepa
 
Semantic Web 2.0: Creating Social Semantic Information Spaces
Semantic Web 2.0: Creating Social Semantic Information SpacesSemantic Web 2.0: Creating Social Semantic Information Spaces
Semantic Web 2.0: Creating Social Semantic Information Spaces
John Breslin
 

Similar to Semantic Web, NON-technically speaking (20)

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
 
Introduction to Semantic Web for GIS Practitioners
Introduction to Semantic Web for GIS PractitionersIntroduction to Semantic Web for GIS Practitioners
Introduction to Semantic Web for GIS Practitioners
 
Semantic Web
Semantic WebSemantic Web
Semantic Web
 
Web 3 Peter Mika
Web 3 Peter MikaWeb 3 Peter Mika
Web 3 Peter Mika
 
Web 3 0
Web 3 0 Web 3 0
Web 3 0
 
Semantic Web
Semantic WebSemantic Web
Semantic Web
 
Web 3.0? A look at the future of the World Wide Web
Web 3.0?  A look at the future of the World Wide WebWeb 3.0?  A look at the future of the World Wide Web
Web 3.0? A look at the future of the World Wide Web
 
Tai web 3
Tai web 3Tai web 3
Tai web 3
 
Presentation web 3.0(part 1)
Presentation web 3.0(part 1)Presentation web 3.0(part 1)
Presentation web 3.0(part 1)
 
knchndev-170222194025.pptx
knchndev-170222194025.pptxknchndev-170222194025.pptx
knchndev-170222194025.pptx
 
From bit-streams-to-life-streams-ajai-narendran-srishti-bangalore-stff-2011
From bit-streams-to-life-streams-ajai-narendran-srishti-bangalore-stff-2011From bit-streams-to-life-streams-ajai-narendran-srishti-bangalore-stff-2011
From bit-streams-to-life-streams-ajai-narendran-srishti-bangalore-stff-2011
 
The 2.0 In Web 2.0
The 2.0 In Web 2.0The 2.0 In Web 2.0
The 2.0 In Web 2.0
 
Semantic Web: Explanation
Semantic Web: ExplanationSemantic Web: Explanation
Semantic Web: Explanation
 
The semantic web
The semantic webThe semantic web
The semantic web
 
Realizing a Semantic Web Application - ICWE 2010 Tutorial
Realizing a Semantic Web Application - ICWE 2010 TutorialRealizing a Semantic Web Application - ICWE 2010 Tutorial
Realizing a Semantic Web Application - ICWE 2010 Tutorial
 
Spivack Blogtalk 2008
Spivack Blogtalk 2008Spivack Blogtalk 2008
Spivack Blogtalk 2008
 
Relationships at the Heart of Semantic Web: Modeling, Discovering, Validating...
Relationships at the Heart of Semantic Web: Modeling, Discovering, Validating...Relationships at the Heart of Semantic Web: Modeling, Discovering, Validating...
Relationships at the Heart of Semantic Web: Modeling, Discovering, Validating...
 
Semantic web
Semantic webSemantic web
Semantic web
 
Web 2.0 Rvce Mca
Web 2.0 Rvce McaWeb 2.0 Rvce Mca
Web 2.0 Rvce Mca
 
Semantic Web 2.0: Creating Social Semantic Information Spaces
Semantic Web 2.0: Creating Social Semantic Information SpacesSemantic Web 2.0: Creating Social Semantic Information Spaces
Semantic Web 2.0: Creating Social Semantic Information Spaces
 

Recently uploaded

Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Ramesh Iyer
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Thierry Lestable
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
Ana-Maria Mihalceanu
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
Product School
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
DianaGray10
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
Cheryl Hung
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
DianaGray10
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
Alison B. Lowndes
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
91mobiles
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
Product School
 
Generating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using SmithyGenerating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using Smithy
g2nightmarescribd
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Albert Hoitingh
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
Frank van Harmelen
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
Thijs Feryn
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Product School
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Product School
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 

Recently uploaded (20)

Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
 
Generating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using SmithyGenerating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using Smithy
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 

Semantic Web, NON-technically speaking

  • 1. Semantic Web in Context Segment at TLT Center “Web2.0 Day” Eric Hoffer Second Integral at Seton Hall July 16, 2008
  • 2.
  • 3. So, about me marketing, strategy, people, processes, puzzles, tools, usability, products, productivity… research, analytics, financial markets, work, the world, people… living and doing their jobs discovery – information – connecting - its about helping real people living and doing their work unlock “SME-tise” and enable the many
  • 4. me (one more thing)… I’m interested in lots of different things... Visual Usability Running Value Networks Finance me
  • 5. me (one more thing)… I’m interested in lots of different things... particularly where they interact…
  • 6. me (one more thing)… I’m interested in lots of different things... particularly where they interact… and in their outer reaches…
  • 7. me (one more thing)… I’m interested in lots of different things... particularly where they interact… and in their outer reaches… in the interstices - where they overlap. Biology and Anthropology System Dynamics and Economics Usability and Value Networks As you might experience with:
  • 8. Interstices Why am I telling you this? To me, this is what semantic technologies and the Semantic Web are about. Enabling the crossing of lines, bridging gaps, unlocking expertise, getting things done… for people.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 32. Sharing + Tagging + Mapping See live example
  • 33.
  • 34.
  • 35.  
  • 36.
  • 37.
  • 38.
  • 39.
  • 40.
  • 41.
  • 42.
  • 43. Web2>3 (clustering) See ZigTag site
  • 44. NLP and Entity Extraction (using Calais) Try this live by going to http://sws.clearforest.com/calaisviewer/ In this example we discussed Calais using natural language processing to “read” text submissions, re-displaying with items marked and classified. We then considered how this can enable asking the web questions on a grand scale, and tabulation of results of NLP from millions of pages.
  • 45. … applied to blogging (e.g. Zemanta or Tagaroo) See live example In this example we looked at how the Zemanta plug-in “reads” a blog post while you are writing it, and provides images and links for you to include in the post – based on its “sense” that these are related to what you are writing.
  • 46. … embedding semantics (e.g. using SIOC)
  • 47.
  • 48. Linking Data (global scale – possibilities emerge) Source: DERI http://richard.cyganiak.de/2007/10/lod/
  • 51. Web Science Source: WSRI - http:// webscience.org /
  • 52. Web Science Source: WSRI - http:// webscience.org /
  • 53. Web Science Source: WSRI - http:// webscience.org /
  • 54. Other links and examples http://webscience.org/ and http://www.w3.org/2001/sw/ http:// sws.clearforest.com/calaisviewer / http://wiki.dbpedia.org and http://deri.org/ and http://sioc-project.org/ http://www.talis.com/platform/podcasts http:// danbri.org / http:// mashmaker.intel.com /web/ - learning masher http:// beta.trueknowledge.com http://www.readwriteweb.com/ (e.g archives/trueknowledge_demo.php) http:// healthmap.org /en and http:// tagmaps.research.yahoo.com /
  • 55.