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K ey issues in publishing and consuming linked data for lib K ey issues in publishing and consuming linked data for lib

K ey issues in publishing and consuming linked data for lib - PowerPoint Presentation

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K ey issues in publishing and consuming linked data for lib - PPT Presentation

Gordon Dunsire Presented to CILIP Linked Data Executive Briefing 24 November 2015 London Overview Linked data 101 Linked data vocabularies Local vs global Eating cake Item is Person by purchased ID: 405238

linked data audience

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Slide1

Key issues in publishing and consuming linked data for libraries

Gordon Dunsire

Presented to CILIP Linked Data Executive Briefing

24 November 2015, LondonSlide2

Overview

Linked data 101

Linked data vocabularies

Local vs global

Eating cakeSlide3

Item

is

Person

by

purchased

owned

autographed

borrowed

donated

photocopied

conserved

Linked data

links 2 specific things

Of interest to

Libraries

Archives

Museums

Of interest to

Publishers

Booksellers

The Crowd

The Cloud

Of interest to

Semantic WebSlide4

Person

is

Item

of

purchaser

owner

autographer

borrower

donor

photocopier

conserver

Linked data

goes both ways

Entity

Entity

relationshipSlide5

Person

is

Item

of

purchaser

owner

autographer

borrower

donor

photocopier

conserver

Linked data

needs identities

Which person?

Which item?

“Jane Smith,

the author of

‘Article’, OUP, 2001”

“The one in

the Reference

section”

“Smith, Jane, 1975-”

“0123-456-789”

Uniform

Resource

Identifier

{URI}

{URI}

For humans

{URI}

For machines

GlobalSlide6

title

“Ode to himself”

Ben Jonson

Place X

Parchment

This ms

author

“Jonson, Ben”

abcxyz

birthplace

normalised name

coordinates

material

“Requires ...”

location

treatmentSlide7

3 types of linked data vocabulary

Datasets

Individual things

E.g. specific Person, Item, Place, etc.

Value vocabularies

Concepts, terminologies

E.g. subject headings, thesauri, etc.

Element setsTypes of thing (classes); types of relationship between thingsE.g. Person, place of birth, supervisor, etc.Slide8

Linked data vocabularies

Each thing is globally identified by a URI

A thing may be identified by more than one URI

A URI must identify only one thing

Each thing is linked to, and humanly identified by, a label and/or definition.

A thing may be identified by more than one label

A label may identify more than one thing

Labels are fashionable, and at the mercy of convention and trendSlide9

Change and persistent chaos

All linked data persists forever

Nothing is forgotten

Nothing is deleted

(but statements can be deprecated)

Every statement is copied

Change should be well-audited to minimize chaos

Every statement is linked to another statement

There is

no truth

o

ut thereSlide10

Who maintains the identifiers (URIs)?

Local

Global

Unique

things in datasets

Common things in datasets

Local value vocabularies

External value

vocabularies

Local element sets

Global element sets

Persistence requires commitment

Global requires availability

Trust requires provenance

Linked

OpenD

ataSlide11

Closed and open data

Closed applications

(e.g. local database)

Open applications

(e.g. Semantic web)

URIs not required

(blank nodes ok)

Permanent sets of triples

(aka records)

What is not recorded

d

oes not exist

All things must have a URI

(blank nodes not ok)

Triples stand on their own

What is not recorded

has not been recorded yetSlide12

Unconstrained

versions

Map of

“Audience”

u

marc

:

m

“adult, general”

“adult, serious”

pbcore

:

adult

“adult”

m21:

e

“adult”

MPAA:

NC-17?

BBFC:

18?

Element sets (schema)

Value vocabularies (KOS)

Broader/narrower/same?

m21:

“Target audience of …”

m21:

“Target audience”

frbrer

:

“has intended audience”

schema:

“audience”

dct

:

“audience”

rdau

:

“Intended audience”

isbd

:

“has note on use or audience”

isbdu

:

“has note on use or audience”

rdaw

:

“Intended audience”

rdfs:subPropertyOf

u

marc

:

kSlide13

Having your cake and eating it

Think globally, act locally

No global element or value

that matches your data?

Avoid dumb-down!

Publish your own element or value

Use open tools

Develop and publish maps

f

rom your element or value

to the nearest global-but-dumber one

Maintain your local things

for persistent global use(act professionally)

Publish your local datasets with local elements and values

i

n a global framework with due diligenceSlide14

Paradigm shifts?

From record to data statement

From production to consumption

From consumer to publisher

From closed to open

From local to global

From smart to dumbFrom certainty to chaosSlide15

Legacies

Legacy data can be published as linked data without loss of information

Legacy elements and values can be mapped to more general vocabularies to interoperate at lowest common semantic level

Legacy data cannot be smartened-up

There is more future legacy than past

New elements and values can be at whatever level of semantic granularity is requiredSlide16

Final thoughts

We are all in this together

At global level, we are an endangered minority

Our data is valuable to some industries

E.g. advertising, tourism, infotainment

We have global infrastructures and expertise for sharing metadata

The global linked data Search tool is being invented right now (in a garage basement)Slide17

Thank you!

gordon@gordondunsire.com