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Simple Knowledge Organisation System SKOS Bliss Classification Association 2005

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Title: Simple Knowledge Organisation System SKOS Bliss Classification Association 2005


1
Simple Knowledge Organisation SystemSKOSBliss
Classification Association 2005
Semantic Web Best Practices and Deployment
Alistair MilesCCLRC Rutherford Appleton
Laboratory
2
The Semantic Web Elephant
3
Overview
  • SKOS whats it for, and what can it do?
  • SKOS where does it fit with all the other bits
    and pieces of the (semantic) web?
  • SKOS is a small part of a big picture.

4
Requirements
  • I want to send my thesaurus/taxonomy/classificatio
    n scheme/subject heading system/controlled
    vocabulary from one database/application to
    another.
  • I want to publish my thesaurus/taxonomy/ in an
    electronic form, so that it can become part of
    a distributed information network/environment.

5
Goals
  • The goals of SKOS Core are
  • to provide a simple, machine-understandable,
    representation framework for Knowledge
    Organisation Systems (KOS)
  • that has the flexibility and extensibility to
    cope with the variation found in KOS idioms
  • that is fully capable of supporting the
    publication and use of KOS within a
    decentralised, distributed, information
    environment such as the world wide (semantic) web.

6
Scope
  • In scope
  • controlled vocabularies
  • thesauri
  • taxonomies
  • classification schemes
  • subject heading systems
  • Grey area
  • terminologies (sensu ISO TC37 SC4)
  • wordnets
  • lexical databases
  • synonym rings
  • glossaries
  • dictionaries
  • ontologies
  • folksonomies

7
E.g. Thesaurus
  • Economic cooperation
  • UF Economic co-operation
  • SN Includes cooperative measures in banking,
    trade, industry etc., between and among
    countries.
  • BT Economic policy
  • NT Economic integration
  • RT Interdependence

8
E.g. Thesaurus
9
Features
  • SKOS Core allows you to
  • identify concepts with URIs
  • label concepts with literals (e.g. love_at_en),
    symbols (e.g. ), sounds? other?
  • document concepts with definitions, examples,
    scope notes, history notes, editorial notes
  • semantically relate concepts
  • organise concepts into concept schemes, and into
    smaller meaningful groupings (arrays)
  • use concepts to subject-index documents

10
Further Reading
  • SKOS Core Guide
  • http//www.w3.org/TR/swbp-skos-core-guide
  • SKOS Core Vocabulary Specification
  • http//www.w3.org/TR/swbp-skos-core-spec

11
Extensibility FAQ
  • Can I extend SKOS Core?
  • YES
  • How do I do it?
  • Proposed draft (includes example extensions for
    fundamental facets and pre-coordinate
    indexing)
  • see
  • http//www.w3.org/2004/02/skos/core/proposalsexte
    nsion-6
  • http//www.w3.org/2004/02/skos/core/proposalscoor
    dination-8

12
Development
  • SKOS Core development
  • open community process
  • published through W3C process
  • SKOS and BC2
  • Develop features for representation of
    analytico-synthetic classification systems
  • SKOS discussion forum
  • public-esw-thes_at_w3.org post suggestions,
    comments
  • mailtopublic-esw-thes-request_at_w3.org?subjectsubs
    cribe

13
The Semantic Web Elephant
14
The Web Technology Spaghetti
HTTP Hypertext Transfer Protocol
RDF Resource Description Framework
XMLExtensible Markup Language
URI Uniform Resource Identifier
SPARQL RDF Query Language
OWL Web Ontology Language
SKOS Simple Knowledge Organisation System
15
Better Meta
16
Better Meta
  • Google image search aliman

17
Better Meta
  • Flickr aliman

18
Flickr
http//flickr.com/photos/tags/aliman/
19
MortenF Photos
http//www.wasab.dk/morten/photos/
20
Better Meta
  • N.B. we are not talking about bringing order to
    the entire web
  • e.g. open directory
  • We are talking about communities with a common
    interest bringing order to a part of the web
  • e.g. portals, subject gateways

21
Sosig
http//www.sosig.ac.uk/
22
harpers
http//www.harpers.org/beta/
23
SWED
http//www.swed.org.uk
24
Better Meta
  • How does the technology fit in?
  • RDF
  • The distributed metadata framework for the web

25
Better Meta
26
Better Meta
  • SKOS
  • Application of RDF
  • Simple subject- or topic- oriented metadata
  • e.g. SWED

27
Better Meta
  • N.B. SWED portal harvests metadata published by
    the environmental organisations themselves

28
A New Type of Content
29
Piggybank
http//www.w3.org/People/EM/
30
Foafnaut
http//foafnaut.org
31
Piggybank
http//citeseer.lcs.mit.edu/ http//simile.mit.ed
u/bank/
32
A New Type of Content
  • RDF
  • Designed for publication of pure information on
    the web
  • Hyper-information (cf. hypertext)
  • N.B. this allows information to be re-purposed
  • SKOS
  • Supports publication of a specific type of
    information namely thesauri, classification
    schemes, subject systems, taxonomies
  • (cf. e.g. FOAF supports publication of
    information about people)

33
A New Type of Content
  • Currently published using SKOS
  • DDC
  • GEMET
  • UKAT

34
Distributed Data
35
Distributed Data
?
36
Distributed Data
37
Distributed Data
?
SPARQL RDF Query
SKOS, Dublin Core
RDF, URI
BC2
UCL library
Reading Library
38
Distributed Data
  • "If HTML and the Web made all the online
    documents look like one huge book, RDF, schema,
    and inference languages will make all the data in
    the world look like one huge database."Tim
    Berners-Lee, Weaving the Web, 1999

39
Distributed Data
  • The (World-Wide) Semantic Web vs.
  • A Semantic Web

40
Knowledge Representation
41
hpdemo
42
Knowledge Representation
  • Ontologies
  • sensu OWL (the web ontology language)
  • modelling types of things, and properties of
    things
  • e.g. SWED
  • support certain types of inference

43
Knowledge Representation
  • knowledge has logical interrelationships and
    dependencies
  • e.g. if I am a Zoologist, I am also a Scientist.
  • e.g. if Jenifer is my mother, then she is also
    one of my parents.
  • e.g. if an animal eats only vegetation, then it
    is a herbivore.
  • e.g. if Liz is my sister, and Holly is Lizs
    daughter, then Holly is my niece.

44
protégé
45
Knowledge Representation
  • Uses of inference
  • extensibility and dumb-down
  • manage dependencies between information
  • management of large, complex ontologies, e.g.
    life sciences

46
Knowledge Representation
  • OWL and SKOS
  • Can use both in combination.
  • e.g. SWED
  • best of both worlds ?

47
The Elephant
Distributed Data
Better Metadata
A New Type of Content
Knowledge Representation
48
Thanks
  • Thanks a lot, hope to hear from you via
    public-esw-thes_at_w3.org
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