About the Semantic Web, Folksonomies & Users in Digital - - PowerPoint PPT Presentation

about the semantic web folksonomies users in digital
SMART_READER_LITE
LIVE PREVIEW

About the Semantic Web, Folksonomies & Users in Digital - - PowerPoint PPT Presentation

About the Semantic Web, Folksonomies & Users in Digital Cultural Heritage Bridging to the End-User Cultural Heritage Information Personalization Lora Aroyo Free University Amsterdam Technische Universiteit Eindhoven 27-03-2007


slide-1
SLIDE 1

About the Semantic Web, Folksonomies & Users in Digital Cultural Heritage

Bridging to the End-User Cultural Heritage Information Personalization

Lora Aroyo

Free University Amsterdam Technische Universiteit Eindhoven 27-03-2007

Departement Cultuur, Jeugd, Sport en Media van de Vlaamse overheid

slide-2
SLIDE 2

Web 1.0: Resources and Links

URL URL Web link

slide-3
SLIDE 3

Web 2.0: Architecture of Participation

Blogging Wikipedia P2P Wikis From directory (taxonomy) tagging

(folksonomy)

Flickr Del.icio.us YouTube

slide-4
SLIDE 4

Folksonomies

Folksonomies:

Folk ontologies Not really ontologies Simply property associations

slide-5
SLIDE 5

Folksonomies

slide-6
SLIDE 6

Flickr.com

Search Search for content by tags Creates awareness Creates awareness which photos still need tagging Browse Browse content by tags

slide-7
SLIDE 7

Del.icio.us

Suggests Suggests Tags & & Recommends Recommends popular tags Discover Discover other people’s tags

slide-8
SLIDE 8

YouTube.com

Uses links between Structured Categories Structured Categories & User Tags User Tags

slide-9
SLIDE 9

YouTube.com

Uses links between Structured Categories Structured Categories & User Tags User Tags

slide-10
SLIDE 10

Web 3.0: The Effect of Semantic Web

More structure

Shared vocabularies Integrated collections (mappings)

Better search & browsing

Relational search Facet browsers

Semantic annotations

Suggestions based on semantics Experts & novices

slide-11
SLIDE 11

Web 3.0: Typed Resources and Links

URL URL Web link ULAN Henri Matisse Henri Matisse Dublin Core creator creator Painting “Woman with hat Woman with hat” SF MOMA

slide-12
SLIDE 12
slide-13
SLIDE 13
slide-14
SLIDE 14

Principle 1: semantic annotation

Description of web objects with “ concepts concepts” from a shared shared vocabulary vocabulary

slide-15
SLIDE 15

Principle 2: semantic search

Search for objects

linked via concepts ( sem antic link) ( sem antic link)

Use the type of

type of sem antic link sem antic link to provide meaningful presentation of the search results

urang-utang

  • range

ape great ape

slide-16
SLIDE 16

Principle 3: multiple vocabularies

  • r the myth of a unified vocabulary

In large virtual collections there are always

multiple vocabularies

  • In multiple languages

Every vocabulary has its own perspective

  • You can’t just merge them

But you can use vocabularies jointly by

defining a limited set of links

  • “Vocabulary alignment”

It is surprising what you can do with just a

few links

slide-17
SLIDE 17

Example

“Tokugawa Tokugawa”

AAT style/period AAT style/period Edo (Japanese period) Edo (Japanese period) Tokugawa Tokugawa SVCN period Edo Edo

SVCN is local in-house thesaurus

slide-18
SLIDE 18

Further in the Web 3.0: RDFa - Embedding RDF in XHTML

  • RDF:

too complex for the average web developer requires duplication of content between the RDF and XHTML

  • RDFa:

more than simply tag a document create relationships between entities in an XHTML document without having to leave the context of that document can be interpreted by RDF enabled tools provides a simple way of encoding metadata into a

document

eliminate the need for duplication by embedding the descriptive relational characteristics

directly in the element’s attribute set allow s Sem antic W eb to m ove aw ay from being unachievable to being doable

slide-19
SLIDE 19

RDFa: Added Value

  • RDFa Primer 1.0: http: / / www.w3.org/ TR/ 2007/ WD-xhtml-rdfa-primer-20070312/
  • http: / / rdfa.info/
  • transfer structured data between web sites

transfer structured data between web sites, e.g.:

  • event on a web page

event on a web page can be directly imported into into a user's desktop calendar calendar

  • license

license on a document can be detected detected and user informed of his rights automatically

  • photo's creator

photo's creator, camera setting information, resolution, and topic can be published as easily as the original photo itself, enabling structured search and sharing enabling structured search and sharing

slide-20
SLIDE 20

Our Examples

MultimediaN e-culture project

  • Integrated cultural heritage collections
  • Shared vocabularies

NWO CHIP project

  • Personalized museum experience
  • Integration of Web, Mobile & Museum

NWO CHOICE project

  • Semantic annotations for Audio/ Visual archive
  • Beeld & Geluid, Hilversum

CHI Project

  • Semantic-based Access for Audio/ Visual archive
  • Regional historic Centrum Eindhoven - RHCE
  • http: / / www.rhc-eindhoven.nl/
slide-21
SLIDE 21

E-Culture demonstrator

http: / / e-culture.multimedian.nl

  • People:
  • Alia Amin, Lora Aroyo, Mark van Assem,

Victor de Boer, Lynda Hardman, Michiel Hildebrand, Laura Hollink, Marco de Niet, Borys Omelayenko, Marie-France van Orsouw, Jacco van Ossenbruggen, Jos Taekema, Annemiek Teesing, Anna Tordai, Guus Schreiber, Jan Wielemaker, Bob Wielinga

  • Collections:
  • Artchive.com,
  • ICN
  • Rijksmuseum Amsterdam,
  • Dutch ethnology musea (Amsterdam,

Leiden),

  • National Library (Bibliopolis)

Part of large Dutch knowledge-economy project Multim ediaN Partners: Vrije Universiteit Amsterdam, CWI, Universiteit van

Amsterdam, DEN, ICN

slide-22
SLIDE 22

16 Nov 2006 16 Nov 2006

Winner of the Semantic Web Challenge @ ISWC 2006

slide-23
SLIDE 23
slide-24
SLIDE 24
slide-25
SLIDE 25

/facet browser /facet browser

slide-26
SLIDE 26

/facet browser /facet browser

slide-27
SLIDE 27

CHIP: Information Personalization http: / / www.chip-project.org

  • Part of the Dutch NWO CATCH program for continuous

access to cultural heritage

  • Partners: Rijksmuseum Amsterdam, TU/ e, Telematica Institute
  • People:
  • Lora Aroyo, Rogier Brusee, Paul De Bra, Peter Gorgels, Lloyd

Rutdlege, Natalia Stash, Yiwen Wang

  • Collections:
  • ARIA Rijksmuseum collection
  • Vocabularies: AAT, TGN, ULAN, IconClass
  • Scientific Goal
  • Personalization of Presentation & Navigation
  • Interactive User Modelling
  • Semantics-based User Interaction & Data Access
slide-28
SLIDE 28

Domain Ontologies Interactive Dialog UM + beliefs Recommend Domain Topics Resource Recommender Personalized Museum Tour Recommend Artefacts

slide-29
SLIDE 29
slide-30
SLIDE 30

Rijksmuseum Amsterdam Data

ARIA

  • 750 artefacts
  • Website targeted
  • Current focus

Adlib

  • 50,000 artefacts
  • Curator targeted

Flash formats

  • Focus on document/ interface structure
  • Website targeted
slide-31
SLIDE 31

Common Vocabularies

AAT

Styles Periods

ULAN: artists TGN: locations Iconclass

Topics and Themes

slide-32
SLIDE 32

CHOICE Project:

http: / / ems01.mpi.nl/ CHOICE/

  • Part of the Dutch NWO CATCH program for continuous

access to cultural heritage

  • Partners: Beeld & Geluid, Vrije Universiteit Amsterdam, Telematica

Institute

  • People:
  • Veronique Malaisé, Hennie Brugman, Luit Gazendam, Lora Aroyo,

Johan Oomen, Annemiek de Jong, Mettina Veenstra, Guus Schreiber

  • Collections:
  • Beeld & Geluid Audio/ Visual Archive
  • Vocabularies: GTAA, AAT, TGN, ULAN
  • Scientific Goal
  • Use context documents to generate candidate annotations
  • semi-automatic indexing process
  • Create a new environment for the documentalists
  • Browser for the in-house thesaurus
slide-33
SLIDE 33
slide-34
SLIDE 34

Other Examples & Events

  • MuseoSuomi - Museum Finland semantic portal
  • http: / / www.museosuomi.fi/
  • http: / / www.hiit.fi/ node/ 199
  • Digital Semantic Content across Cultures
  • Paris, the Louvre May 4-5, 2006
  • http: / / www.seco.tkk.fi/ events/ 2006/ 2006-05-04-

websemantique/ ProgrammeWebSem2006-05-02.pdf

  • From Digitisation to Creating Cultural

Experiences

  • eCulture Group of Salzburg Research
  • http: / / www.ariadne.ac.uk/ issue41/ e-culture-rpt/
slide-35
SLIDE 35

Perspectives

Basic Semantic Web technology is ready

technology is ready for deployment

Web 2.0 facilities:

  • Involving community experts in annotation

Involving community experts in annotation

  • Personalization

Personalization, myArt

  • Social barriers

Social barriers have to be overcome!

  • “open door” policy
  • Involvement of general public

Involvement of general public = > issues of “quality”

Importance of using open standards

  • pen standards
  • Away from custom-made flashy web sites
slide-36
SLIDE 36

Acknowledgements

CHIP project team

  • Lora Aroyo, Rogier Brusee, Paul De Bra, Peter

Gorgels, Lloyd Rutdlege, Natalia Stash, Yiwen Wang e-culture project team

  • Alia Amin, Lora Aroyo, Mark van Assem, Victor de

Boer, Lynda Hardman, Michiel Hildebrand, Laura Hollink, Marco de Niet, Borys Omelayenko, Marie- France van Orsouw, Jacco van Ossenbruggen, Jos Taekema, Annemiek Teesing, Anna Tordai, Guus Schreiber, Jan Wielemaker, Bob Wielinga CHOICE project team

  • Veronique Malaisé, Hennie Brugman, Luit Gazendam,

Lora Aroyo, Johan Oomen, Annemiek de Jong, Mettina Veenstra, Guus Schreiber

slide-37
SLIDE 37

You can contact me:

  • n the Web 1.0
  • http: / / www.cs.vu.nl/ ~ laroyo
  • l.m.aroyo@cs.vu.nl
  • n the Web 2.0
  • you can find me via Flickr, del.icio.us, YouTube,

Second Life, Skype …

  • n the Web 3.0 (Semantic Web)
  • CHIP project http: / / www/ chip-project.org
  • e-culture project http: / / e-culture.multimedian.nl/
  • CHOICE project http: / / ems01.mpi.nl/ CHOICE/