Semantic Web and the Web Of Commerce - pdf version

84
The Seman)c Web and The Web Of Commerce The Seman)c web has the poten)al be completely disrup)ve or completely opportune to online commerce. Barbara Starr Email: [email protected] Twitter: @BarbaraStarr

Transcript of Semantic Web and the Web Of Commerce - pdf version

The  Seman)c  Web  and  The  Web  Of  Commerce  

The  Seman)c  web  has  the  poten)al  be  completely  disrup)ve  or  completely  opportune  to  online  commerce.  

Barbara Starr Email: [email protected]

Twitter: @BarbaraStarr

Disrup)ve  Innova)on  A  disrup've  innova'on  is  an  innova)on  that  disrupts  an  exis)ng  market.  The  term  is  used  in  business  and  technology  literature  to  describe  innova)ons  that  improve  a  product  or  service  in  ways  that  the  market  does  not  expect,  typically  by  lowering  price  or  designing  for  a  different  set  of  consumers.  In  contrast  to  "disrup)ve"  innova)on,  a  "sustaining"  innova)on  does  not  have  an  effect  on  exis)ng  markets.  Sustaining  innova)ons  may  be  either  "discon)nuous"[1]  (i.e.  "transforma)onal")  or  "con)nuous"  (i.e.  "evolu)onary").  Transforma)onal  innova)ons  are  not  always  disrup)ve.  Although  the  automobile  was  a  transforma)onal  innova)on,  it  was  not  a  disrup)ve  innova)on,  because  early  automobiles  were  expensive  luxury  items  that  did  not  disrupt  the  market  for  horse-­‐drawn  vehicles.  The  market  for  transporta)on  essen)ally  remained  intact  un)l  the  debut  of  the  lower  priced  Ford  Model  T  in  1908  by  making  higher  speed,  motorized  transporta)on  available  to  the  masses.[2]  

Disrup)ve  innova)on  

Christensen  defines  a  disrup)ve  innova)on  as  a  product  or  service  designed  for  a  new  set  of  customers.  

Christensen  argues  that  disrup)ve  innova)ons  can  hurt  successful,  well  managed  companies  that  are  responsive  to  their  customers  and  have  excellent  research  and  development.  These  companies  tend  to  ignore  the  markets  most  suscep)ble  to  disrup)ve  innova)ons,  because  the  markets  have  very  )ght  profit  margins  and  are  too  small  to  represent  significant  growth.[5]  

The  Theory  

What  is  the    Seman)c  Web  

Seman)c  web  synonymous  with    Web  3.0  ?  

PuXng  structured  informa)on  into  the  web  in  some  machine  readable  format  

Seman)c   meaning  

Not  about  the  rela)onships  between  links,  but  about  rela)onship  between  things,  and  the  proper)es  of  those  things  

A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities By Tim Berners-Lee, James Hendler and Ora Lassila

What  is  the    Seman)c  Web  (cont)  

“The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. It is a collaborative effort led by W3C with participation from a large number of researchers and industrial partners. It is based on the Resource Description Framework (RDF)”

World    Wide  Web  Consor)um  

hZp://www.w3.org/2001/sw/  

RDF  -­‐  Triples  

•  RDF  (Resource  Descrip)on  Framework)          A  resource  is  anything  you  want  to  describe.  An  RDF  triple  contains  a  subject,  predicate,  and  object.    

e.g  

Michael   David  knows  

Michael   boy  is-­‐a  

subject  predicate  

object  

subject  predicate  

object  

RDF  -­‐  Triples  

translates  into  (michael  knows  David)  

(michael  is-­‐a  boy)  and  we  can  infer  with  the  right  ontology  &  inferencing  mechanism  

(michael  is-­‐a  person)  

Michael   David  knows  

Michael   boy  is-­‐a  

predicate  

object  

subject  predicate  

object  

subject  

(michael  knows  David)  

(michael  is-­‐a  boy)  (michael  is-­‐a  person)  

RDF  -­‐  Triples  

             Triple  store                          Or  Web  3.0  database  

Linked  Data  Cloud  

Wikipedia  Defini)on  of  an  Ontology  

In computer science and information science, an ontology is a formal representation of the knowledge by a set of concepts within a domain and the relationships between those concepts. It is used to reason about the properties of that domain, and may be used to describe the domain."

In theory, an ontology is a "formal, explicit specification of a shared conceptualization".[1] An ontology provides a shared vocabulary, which can be used to model a domain — that is, the type of objects and/or concepts that exist, and their properties and relations.[2]"

Ontologies are used in artificial intelligence, the Semantic Web, systems engineering, software engineering, biomedical informatics, library science, enterprise bookmarking, and information architecture as a form of knowledge representation about the world or some part of it. The creation of domain ontologies is also fundamental to the definition and use of an enterprise architecture framework."

Not  restricted  to  a  hierarchical  structure  as  with  a  taxonomy    

Ontologies    

•  OWL  –  Web  Ontology  Language  (OWL  2.0  released)  

•  RDFS  –  RDF  Schema  

•  Some  exis)ng  standards  ontologies:        –  FOAF  -­‐  Friend  of  a  Friend  -­‐  for  social  networks  

–  SIOC  -­‐  Seman)cally  Interlinked  Online  Communi)es  

–  Goodrela)ons  for  e-­‐commerce  

–  Geodata  

–  Upper  Level  Ontology  

–  FOAF  -­‐  Friend  of  a  Friend  -­‐  for  social  networks  

–  SIOC  -­‐  Seman)cally  Interlinked  Online  Communi)es  

–  Google  Ontology  

–  …..  

13  

RDFa  

•  RDFa is simply RDF in attributes. It adds a set of attribute level extensions to HTML, enabling rich metadata to be embedded within web pages. "

•  It not only enables triples to be embedded in web pages but also ultimately enables the extraction of triples"

In  short,  this  is  the  means  by  which  we  add  structured  markup  to  web  pages  

SPARQL  

•  SPARQL  is  an  RDF  Query  Language.    •  It    is  a  recursive  acronym  and    stands  for  SPARQL  Protocol  And  RDF  Query  Language.    

•  Informa)on  from  linked  Datasets  can  be  accessed  via  SPARQL  queries.  

•  Most  linked  data  sources  provide  SPARQL  ENDPOINTS  to  enable  access.  

•  A  SPARQL  endpoint  -­‐  provides  access  to  its  data  via  supported  SPARQL  protocol  

To  cut  a  loooong  story  short:  

We  go  from:    a  web  of  documents  or  hyperlinks,  to:  a  web  of  data  or  seman)c  links  

with:  linked  data  and  linked  datasets.  

We  use  RDF  to  represent  the  data  on  the  web  

and  we  use  SPARQL  to  query  the  data  

And  RDFa  is  simply  RDF  in  aZributes.  

Core  Concepts:  

•  Not  that  we  have  forgoZen  about:    

–  RDFS  (RDF  Schema)  

–  OWL  (Web  Ontology  Language)  

•  &  then  in  summary  

–  RDF  (central  to  all)  –  Linked  Data  –  SPARQL  

•  RDFa  (simply  stated  as  it  is  html  markup)  

So  at  this  point  either  your  head  is  spinning  

or  

You  are  bored  to  death  because  you  already  know  about  the  seman)c  web  

SO  …    

-­‐  How  is  this  being  used?  -­‐  What  is  the  extent  of  adop)on  -­‐  Who  is  using  it?  -­‐  How  can  it  be  leveraged?  

LOD  Cloud  Evolu)on  

The  rate  of  growth  has  been  remarkable  

Source  maintained  by:  Richard  Cygniak  and  Anja  Jentsch.  hZp://lod-­‐cloud.net  

Oct  2007  

Nov  2007  (1)  

Nov  2007  (2)  

Feb  2008  

Mar  2008  

Sept  2008  

Mar  2009  (1)  

Mar  2009  (2)  

March  5  -­‐  2009  

As of March 2009

LinkedCTReactome

Taxonomy

KEGG

PubMed

GeneID

Pfam

UniProt

OMIM

PDB

SymbolChEBI

Daily Med

Disea-some

CAS

HGNC

InterPro

Drug Bank

UniParc

UniRef

ProDom

PROSITE

Gene Ontology

HomoloGene

PubChem

MGI

UniSTS

GEOSpecies

Jamendo

BBCProgramm

es

Music-brainz

Magna-tune

BBCLater +TOTP

SurgeRadio

MySpaceWrapper

Audio-Scrobbler

LinkedMDB

BBCJohnPeel

BBCPlaycount

Data

Gov-Track

US Census Data

riese

Geo-names

lingvoj

World Fact-book

Euro-stat

IRIT Toulouse

SWConference

Corpus

RDF Book Mashup

Project Guten-berg

DBLPHannover

DBLPBerlin

LAAS- CNRS

Buda-pestBME

IEEE

IBM

Resex

Pisa

New-castle

RAE 2001

CiteSeer

ACM

DBLP RKB

Explorer

eprints

LIBRIS

SemanticWeb.org Eurécom

ECS South-ampton

RevyuSIOCSites

Doap-space

Flickrexporter

FOAFprofiles

flickrwrappr

CrunchBase

Sem-Web-

Central

Open-Guides

Wiki-company

QDOS

Pub Guide

Open Calais

RDF ohloh

W3CWordNet

OpenCyc

UMBEL

Yago

DBpedia

Freebase

Virtuoso Sponger

March  27  -­‐  2009  

As of March 2009

LinkedCTReactome

Taxonomy

KEGG

PubMed

GeneID

Pfam

UniProt

OMIM

PDB

SymbolChEBI

Daily Med

Disea-some

CAS

HGNC

InterPro

Drug Bank

UniParc

UniRef

ProDom

PROSITE

Gene Ontology

HomoloGene

PubChem

MGI

UniSTS

GEOSpecies

Jamendo

BBCProgramm

es

Music-brainz

Magna-tune

BBCLater +TOTP

SurgeRadio

MySpaceWrapper

Audio-Scrobbler

LinkedMDB

BBCJohnPeel

BBCPlaycount

Data

Gov-Track

US Census Data

riese

Geo-names

lingvoj

World Fact-book

Euro-stat

flickrwrappr

Open Calais

RevyuSIOCSites

Doap-space

Flickrexporter

FOAFprofiles

CrunchBase

Sem-Web-

Central

Open-Guides

Wiki-company

QDOS

Pub Guide

RDF ohloh

W3CWordNet

OpenCyc

UMBEL

Yago

DBpedia

Freebase

Virtuoso Sponger

DBLPHannover

IRIT Toulouse

SWConference

Corpus

RDF Book Mashup

Project Guten-berg

DBLPBerlin

LAAS- CNRS

Buda-pestBME

IEEE

IBM

Resex

Pisa

New-castle

RAE 2001

CiteSeer

ACM

DBLP RKB

Explorer

eprints

LIBRIS

SemanticWeb.org

Eurécom

RKBECS

South-ampton

CORDIS

ReSIST ProjectWiki

NationalScience

Foundation

ECS South-ampton

July  14  -­‐    2009  

Sept  22  -­‐  2010  

As of September 2010

MusicBrainz

(zitgist)

P20

YAGO

World Fact-book (FUB)

WordNet (W3C)

WordNet(VUA)

VIVO UFVIVO

Indiana

VIVO Cornell

VIAF

URIBurner

Sussex Reading

Lists

Plymouth Reading

Lists

UMBEL

UK Post-codes

legislation.gov.uk

Uberblic

UB Mann-heim

TWC LOGD

Twarql

transportdata.gov

.uk

totl.net

Tele-graphis

TCMGeneDIT

TaxonConcept

The Open Library (Talis)

t4gm

Surge Radio

STW

RAMEAU SH

statisticsdata.gov

.uk

St. Andrews Resource

Lists

ECS South-ampton EPrints

Semantic CrunchBase

semanticweb.org

SemanticXBRL

SWDog Food

rdfabout US SEC

Wiki

UN/LOCODE

Ulm

ECS (RKB

Explorer)

Roma

RISKS

RESEX

RAE2001

Pisa

OS

OAI

NSF

New-castle

LAAS

KISTIJISC

IRIT

IEEE

IBM

Eurécom

ERA

ePrints

dotAC

DEPLOY

DBLP (RKB

Explorer)

Course-ware

CORDIS

CiteSeer

Budapest

ACM

riese

Revyu

researchdata.gov

.uk

referencedata.gov

.uk

Recht-spraak.

nl

RDFohloh

Last.FM (rdfize)

RDF Book

Mashup

PSH

ProductDB

PBAC

Poké-pédia

Ord-nance Survey

Openly Local

The Open Library

OpenCyc

OpenCalais

OpenEI

New York

Times

NTU Resource

Lists

NDL subjects

MARC Codes List

Man-chesterReading

Lists

Lotico

The London Gazette

LOIUS

lobidResources

lobidOrgani-sations

LinkedMDB

LinkedLCCN

LinkedGeoData

LinkedCT

Linked Open

Numbers

lingvoj

LIBRIS

Lexvo

LCSH

DBLP (L3S)

Linked Sensor Data (Kno.e.sis)

Good-win

Family

Jamendo

iServe

NSZL Catalog

GovTrack

GESIS

GeoSpecies

GeoNames

GeoLinkedData(es)

GTAA

STITCHSIDER

Project Guten-berg (FUB)

MediCare

Euro-stat

(FUB)

DrugBank

Disea-some

DBLP (FU

Berlin)

DailyMed

Freebase

flickr wrappr

Fishes of Texas

FanHubz

Event-Media

EUTC Produc-

tions

Eurostat

EUNIS

ESD stan-dards

Popula-tion (En-AKTing)

NHS (EnAKTing)

Mortality (En-

AKTing)Energy

(En-AKTing)

CO2(En-

AKTing)

educationdata.gov

.uk

ECS South-ampton

Gem. Norm-datei

datadcs

MySpace(DBTune)

MusicBrainz

(DBTune)

Magna-tune

John Peel(DB

Tune)

classical(DB

Tune)

Audio-scrobbler (DBTune)

Last.fmArtists

(DBTune)

DBTropes

dbpedia lite

DBpedia

Pokedex

Airports

NASA (Data Incu-bator)

MusicBrainz(Data

Incubator)

Moseley Folk

Discogs(Data In-cubator)

Climbing

Linked Data for Intervals

Cornetto

Chronic-ling

America

Chem2Bio2RDF

biz.data.

gov.uk

UniSTS

UniRef

UniPath-way

UniParc

Taxo-nomy

UniProt

SGD

Reactome

PubMed

PubChem

PRO-SITE

ProDom

Pfam PDB

OMIM

OBO

MGI

KEGG Reaction

KEGG Pathway

KEGG Glycan

KEGG Enzyme

KEGG Drug

KEGG Cpd

InterPro

HomoloGene

HGNC

Gene Ontology

GeneID

GenBank

ChEBI

CAS

Affy-metrix

BibBaseBBC

Wildlife Finder

BBC Program

mesBBC

Music

rdfaboutUS Census

LOD  cloud  –  Sept  22  2010  

As of September 2010

MusicBrainz

(zitgist)

P20

YAGO

World Fact-book (FUB)

WordNet (W3C)

WordNet(VUA)

VIVO UFVIVO

Indiana

VIVO Cornell

VIAF

URIBurner

Sussex Reading

Lists

Plymouth Reading

Lists

UMBEL

UK Post-codes

legislation.gov.uk

Uberblic

UB Mann-heim

TWC LOGD

Twarql

transportdata.gov

.uk

totl.net

Tele-graphis

TCMGeneDIT

TaxonConcept

The Open Library (Talis)

t4gm

Surge Radio

STW

RAMEAU SH

statisticsdata.gov

.uk

St. Andrews Resource

Lists

ECS South-ampton EPrints

Semantic CrunchBase

semanticweb.org

SemanticXBRL

SWDog Food

rdfabout US SEC

Wiki

UN/LOCODE

Ulm

ECS (RKB

Explorer)

Roma

RISKS

RESEX

RAE2001

Pisa

OS

OAI

NSF

New-castle

LAAS

KISTIJISC

IRIT

IEEE

IBM

Eurécom

ERA

ePrints

dotAC

DEPLOY

DBLP (RKB

Explorer)

Course-ware

CORDIS

CiteSeer

Budapest

ACM

riese

Revyu

researchdata.gov

.uk

referencedata.gov

.uk

Recht-spraak.

nl

RDFohloh

Last.FM (rdfize)

RDF Book

Mashup

PSH

ProductDB

PBAC

Poké-pédia

Ord-nance Survey

Openly Local

The Open Library

OpenCyc

OpenCalais

OpenEI

New York

Times

NTU Resource

Lists

NDL subjects

MARC Codes List

Man-chesterReading

Lists

Lotico

The London Gazette

LOIUS

lobidResources

lobidOrgani-sations

LinkedMDB

LinkedLCCN

LinkedGeoData

LinkedCT

Linked Open

Numbers

lingvoj

LIBRIS

Lexvo

LCSH

DBLP (L3S)

Linked Sensor Data (Kno.e.sis)

Good-win

Family

Jamendo

iServe

NSZL Catalog

GovTrack

GESIS

GeoSpecies

GeoNames

GeoLinkedData(es)

GTAA

STITCHSIDER

Project Guten-berg (FUB)

MediCare

Euro-stat

(FUB)

DrugBank

Disea-some

DBLP (FU

Berlin)

DailyMed

Freebase

flickr wrappr

Fishes of Texas

FanHubz

Event-Media

EUTC Produc-

tions

Eurostat

EUNIS

ESD stan-dards

Popula-tion (En-AKTing)

NHS (EnAKTing)

Mortality (En-

AKTing)Energy

(En-AKTing)

CO2(En-

AKTing)

educationdata.gov

.uk

ECS South-ampton

Gem. Norm-datei

datadcs

MySpace(DBTune)

MusicBrainz

(DBTune)

Magna-tune

John Peel(DB

Tune)

classical(DB

Tune)

Audio-scrobbler (DBTune)

Last.fmArtists

(DBTune)

DBTropes

dbpedia lite

DBpedia

Pokedex

Airports

NASA (Data Incu-bator)

MusicBrainz(Data

Incubator)

Moseley Folk

Discogs(Data In-cubator)

Climbing

Linked Data for Intervals

Cornetto

Chronic-ling

America

Chem2Bio2RDF

biz.data.

gov.uk

UniSTS

UniRef

UniPath-way

UniParc

Taxo-nomy

UniProt

SGD

Reactome

PubMed

PubChem

PRO-SITE

ProDom

Pfam PDB

OMIM

OBO

MGI

KEGG Reaction

KEGG Pathway

KEGG Glycan

KEGG Enzyme

KEGG Drug

KEGG Cpd

InterPro

HomoloGene

HGNC

Gene Ontology

GeneID

GenBank

ChEBI

CAS

Affy-metrix

BibBaseBBC

Wildlife Finder

BBC Program

mesBBC

Music

rdfaboutUS Census

Media

Geographic

Publications

Government

Cross-domain

Life sciences

User-generated content

latest  LOD  cloud  

Adopters?  •  UK  Government  •  US  Government  •  BBC  (FIFA  world  cup  site  dynamically  generated  using  linked  data)  •  Thomson  Reuters  •  Freebase  •  NY  Times  •  Best  Buy  •  Tesco  •  Google  (More  to  follow  hZp://rdf.data-­‐vocabulary.org/#)  •  Yahoo  •  Facebook  •  Oracle  •  Tons  more  –  Just  look  at  the  diversity  in  the  LOD  data  cloud  •  …….  

Seman)c  Web  to  Date  

Seman)c  Search  

What  is  Seman)c  Search  

•  Semantic Search is basically the notion of improving search by using metadata or searching on that metadata.

•  There are several ways that the Search engines on the web may use this to enhance search results.

– FIND, rather than SEARCH. •  Searching directly on the metadata directly can yield specific

answers or results as demonstrated in the following example:

Query “Barack Obama Birthday”

Results on

Defini)ve  Answer  on  Top  

Bing  

Definitive Answer

Note: Freebase part of Metaweb acquisition by Google

Definitive answer & enhanced display

Bing  leveraged  this  for  quite  some  )me  

What  is  Seman)c  Search  (cont)  

•  Semantic Search is basically the notion of improving search by using metadata or searching on that metadata.

•  There are several ways that the Search engines on the web may use this to enhance search results.

– FIND, rather than SEARCH. •  Searching directly on the metadata directly can yield specific

answers or results as demonstrated in the following example: •  Ran the query “Barack Obama Birthday” on both google, and

bing. Obtained the following:

– Answer  engines  rather  than  Search  Engines?  •  At  this  point  really,  a  defini)ve  answer  followed  with  the  standard  search  result  set  for  that  query  

What  is  Seman)c  Search  (Cont)  

•  Semantic Search is basically the notion of improving search by using metadata or searching on that metadata.

•  There are several ways that the Search engines on the web may use this to enhance search results.

– FIND, rather than SEARCH. – Another aspect of using metadata such as embedding

metadata or semantic markup in web pages could be demonstrated by enhanced displays in search results (e.g. rich snippets  in  google).    Both  Google  and  Yahoo  support  enhanced  displays  for  RDFa  markup.      

Rich  Snippets  

•  Google  now  supports  Rich  snippets  for  –  People  –  Events  –  Businesses  and  organiza)ons  –  Reviews  –  Recipes  –  Products  –  Breadcrumbs  –  Local  Search  –  Video  –  images  

hZp://rdf.data-­‐vocabulary.org/#  

Rich  Snippets  

•  Google  now  supports  Rich  snippets  for  – People  – Events  – Businesses  and  organiza)ons  – Reviews  – Recipes  – Products  – Breadcrumbs  – Local  Search  

hZp://rdf.data-­‐vocabulary.org/#  

RDFa  for  videos  

October  26,  2009  

Events  Mar  12,  2010  

50  

Recipes  

April  13,  2010  

Facebook Opengraph protocol based on RFDa April  20,  2010  

Enables “semantic Profiling” of users

April  26,  2010  

July  16,  2010  

Sept  2,  2010  

Sept  22,  2010  

The  Demise  of  Searchmonkey  

57  

Products  now  “findable”        (more  to  follow)  

Nov  2,  2010  

Google  acquires  Metaweb    (freebase)  

Google  Refine  Nov,  2010  

Yahoo  fully  supported  RDFa    for  enhanced  displays  

Social  Networks  

•  While  search  engines  can  benefit  from  access  to  social  networks,  social  networks  can  benefit  from  seman)c  metadata  in  web  pages  

– Example  is  Facebook’s  Open  Graph  Protocol  (also  supports  RDFa)  which  allows  users  to  share  &  like  objects  (such  as  products)  as  opposed  to  web  pages.  Enables  “Seman)c  Profiling”  of  the  users  by  facebook.  

Generic  Web  Benefits  /  Uses  

•  Yahoo stated 15% increase in CTR as a result of enhanced displays, rich snippets in Google

•  Definitive answers enabled by understanding and leveraging how search engines are searching directly on metadata

•  Semantic Profiling and adoption by social networks

•  Embedding semantic markup in web pages and product pages ultimately makes information “findable” by search engines, enabling them to provide improvements such as definitive answers, enhanced displays, etc

Google  supports  3  alterna)ves  for  microformats  for  products  

•  Google  format  •  Hproduct  •  Goodrela)ons  

•  Which  do  we  use  &    why?  

What  can  we  do  with  RDFa?  

•  Produce  RDFa  •  Consume  RDFa  

•  Build  smart  applica)ons  with  consumed  RDFa  as  we  now  have  a  triple  store  and  all  the  reasoning  and  decision  making  tools  such  as  those  provided  by  allegrograph  

Google  Ontology  

Google  Ontology  

Facebook  Ontology  

hZp://www.overstock.com/Clothing-­‐Shoes/Grane-­‐Womens-­‐Double-­‐breasted-­‐Military-­‐Coat/

5237784/product.html  

Consumed  RDFa  

Jans  will  demonstrate  how  to  navigate  this  in  allegrograph  to  ensure  rela)onships  set  correctly  re:  nested  divs,  etc  

Services  or  products  

Consuming  mul)ple  microformats  

LOD  meets  LOC  

LOD  meets  LOC  

LOD  meets  LOC  

1.  Op)mized  RDFa  in  all  pages  that            -­‐    serves  Google  Rich  Snippets            -­‐    serves  Yahoo  SearchMonkey            -­‐    is  GoodRela)ons  valid            -­‐    is  accessible  to  all  client-­‐side  browser  extensions  (there  will  be  a  lot  of  such  services  soon,  believe  me)  

       -­‐    is  perfect  for  any  seman)cs-­‐aware  search  engines  so  that  overstock.com  offers  are  visible  

2.  Novel  recommender  systems  based  on  GoodRela)ons            I  have  quite  a  lot  of  novel  approaches  for  GoodRela)ons-­‐based  

recommender  systems  (in-­‐site),  which  would  be  very  useful  for  consumer  electronics  and  fashion,  in  par)cular.  

3.  Precision  E-­‐Commerce  Content  Syndica)on  

         Soon,  owners  of  small  sites  will  be  able  to  syndicate  very  specific  e-­‐commerce  content  based  on  GoodRela)ons  (same  as  currently  supported  by  eBay  and  Amazon,  but  then  across  the  whole  WWW).  

         We  have  a  prototype  for  this  already  running,  it  could  be  a  great  new  direc)on  for  overstock.  (besides  the  posi)ve  buzz  about  it).  

hZp://www.ny)mes.com/2010/11/25/technology/personaltech/25smart.html?src=busln  

Myriad  of  compe))ve  shopping  apps  already  out  there,  but  always  room  for  one  more?  

How  is  this  poten)ally  disrup)ve  The  hypothesis:  Possible  New  Consumer  market.    Good  for  mama  &  papa  Shops  and  small  business.    Also  for  Overstock.    Data  exposed  that  may  be  lost  if  only  consumed  by  larger  users  e.g.  google  

Mama  &  Papa  Online  Store  

Web  of  data  –  LOC  cloud  

Seman)c  GR  Based  apps  -­‐    

Seman)c  GR  based  Shopping      apps  

RDFa  

Random    Shopper  

Shoppers  

Seman)c  GR  based  Shopping      apps  

In  the  mean)me  

No  longer  Beta  

Help  sell  on  google  

Where  do  we  go  from  here?  

•  Other  means  of  supplying  gr  markup  hZp://www.jarltech.de  is  exposing  its  full  catalog  with  ca.  4,000  auto-­‐ID  products  in  RDF/XML  (updated  several  )mes  a  week!)  (not  as  silly  as  I  first  thought)  

hZp://www.jarltech.de/goodrela)ons.rdf  

Other  Ver)cals  within  retail  

•  New  Ver)cal  Markets  – Automa)ve    (Large  automo)ve  manufacturer  recently  adopted  GR  :  

announcement  coming  soon)  – Financial  – Fashion  – Real  Estate  – Tickets  – Electronics  

Break  

Barbara Starr Email: [email protected]

Twitter: @BarbaraStarr