metadata for the gpii liddy nevile. drd metadata

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Metadata for the GPII Liddy Nevile

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Page 1: Metadata for the GPII Liddy Nevile. DRD metadata

Metadata for the GPII

Liddy Nevile

Page 2: Metadata for the GPII Liddy Nevile. DRD metadata

DRD metadata

Page 3: Metadata for the GPII Liddy Nevile. DRD metadata

GPII

• Offers a chance for cumulative, crowd-sourced, cloud-based, just-in-time provision of accessible resources through AccessForAll services.

• Needs lots of quality metadata.

Page 4: Metadata for the GPII Liddy Nevile. DRD metadata

So let’s take a use case - a resource about dogs.

• Martha’s preferred language is English, so when video is not in English, she wants English subtitles.

• 6 am. to 6 pm., the subtitles should be large.• 6 pm. to 6 am., the subtitles should be extra large.• 9 am. to 7 pm., the volume should be loud.• At other times, medium volume is OK. • The video brightness level should be at maximum

brightness until 6 pm. • but 80% of its maximum brightness in the evenings.

Page 5: Metadata for the GPII Liddy Nevile. DRD metadata

There are two ways to find what we want:

1.a typical database method and

2.a typical metadata method

Page 6: Metadata for the GPII Liddy Nevile. DRD metadata

A database solution

• If it is about dogs, does it have video?• If so, is the time between 6 pm. and 6 am?• If so, does it have extra large font subtitles?• If so, is it after 7 pm.?• If so, does it have loud volume?• If so, deliver it!

The algorithmic approach to discovery based on lots of conditionals.

Page 7: Metadata for the GPII Liddy Nevile. DRD metadata

Behind the database solutionResource x

Font sizeTime of day

Media type

video

text

image

6am - 6pm

7pm - 6am

midnight

large

Extra large

small

v. small

Page 8: Metadata for the GPII Liddy Nevile. DRD metadata

A metadata solution

Match• Media, time, font size, volume, to the metadata of the resource using

standard ‘advanced search’ matching algorithm

Note that changing size of font, e.g. might have to be implemented by a (cloud) service on the way.

Page 9: Metadata for the GPII Liddy Nevile. DRD metadata

valuepropertydata

Behind the metadata solution

Resource x

has mediumvideo

textimage

Page 10: Metadata for the GPII Liddy Nevile. DRD metadata

valuepropertydata

A metadata solution

Resource x

has medium

videotext

image…

is video with subtitles

V smallsmall

largeX large

Page 11: Metadata for the GPII Liddy Nevile. DRD metadata

valuepropertydata

Behind the metadata solution

Resource xhas medium

videotext

image…

Video with subtitles

V smallsmall

largeX large

Video with volumelow

mediumhigh

Page 12: Metadata for the GPII Liddy Nevile. DRD metadata

But, structure is often in the value• Perhaps, I have a general value - ‘loud.• Then I refined it to be more specific - ‘very

loud’.• Then I refined it again to be more specific -

‘low-pitch very loud.• Etc.(the core metadata value is loud and the

refinements are structured so they are always associated with it)

Page 13: Metadata for the GPII Liddy Nevile. DRD metadata

Essentials for metadata

• Sharing of metadata happens only if it is interoperable and that means interoperable syntax and interoperable semantics.

• Interoperable semantics depends on a combination of common words and common structure.

• So the GPII needs to specify common syntax, semantics and structure

Page 14: Metadata for the GPII Liddy Nevile. DRD metadata

What’s new, what’s available?

• The syntax of the Semantic Web is already there and very interoperable with the various computer languages people use - not a problem if we use a standard syntax.

• The semantics of terms, elements, vocabularies, whatever can be defined and published so everyone can share them.

Page 15: Metadata for the GPII Liddy Nevile. DRD metadata

But ….

• The Semantic Web is ‘wonderful’ but too broad and unmanageable for us so, perhaps like the DC people, we will need to constrain it?

• So let’s see what DC people do.

Page 16: Metadata for the GPII Liddy Nevile. DRD metadata

The ‘Semantic Web’ does what?

• By having a very clear and atomic, uniform structure it supports computer decision-making and so linking of one data resource to another, sometimes extending across a chain of resources(because computers are capable of simple logic).

Page 17: Metadata for the GPII Liddy Nevile. DRD metadata

The ‘Semantic Web’ does what?

• If a computer knows:– Fred is son of Bill and Mary– Tom is son of Bill and Mary

• then Fred and Tom are brothers, and if– Bill and Mary have son Fred– Bill and Mary have son Tom

• then Fred and Tom are brothers.

Page 18: Metadata for the GPII Liddy Nevile. DRD metadata

Semantic Web statements

• They are ALWAYS the same VERY simple statements - subject, relationship, value

• i.e. there is an invariable structure.• Note that this is the case even when we have

– Tom is son of Bill and Mary, and – Bill and Mary have son Tom.

• The structure is really important.

Page 19: Metadata for the GPII Liddy Nevile. DRD metadata

Dublin Core statements

• DC metadata people use the SemWeb but they don’t (yet) use it backwards and forwards. They say:– (the story) My Holidays was written by Jack, and– My Holidays was published by PBS

• because they tend to want to keep the descriptions of the story together, and elsewhere they describe the author, for simplicity.

• But using SemWeb technology, one can associate a description of what PBS publishes with what is known about Jack, or the story My Holidays.

Page 20: Metadata for the GPII Liddy Nevile. DRD metadata

Dublin Core statements

• Graphically, the difference is between a set of descriptions all flowing from single resources, even when they are later linked up (DC metadata), and a web where all sorts of things are linked one to another (in any direction).

• Either way, both use triples.

Page 21: Metadata for the GPII Liddy Nevile. DRD metadata

DC Metadata (bottom) and the Semantic Web (top)

Page 22: Metadata for the GPII Liddy Nevile. DRD metadata

Making metadata for ISO 24751

The steps are:– Analyse and determine the needs of the

client base (use domain expertise)– Sort the properties (domain and metadata

expertise)– Represent the properties using the

Resource Description Framework– Provide examples of encoding of metadata– Develop cross-walks where necessary

Page 23: Metadata for the GPII Liddy Nevile. DRD metadata

Making good metadata

Page 24: Metadata for the GPII Liddy Nevile. DRD metadata
Page 25: Metadata for the GPII Liddy Nevile. DRD metadata

Simple PNP descriptions

• People can be in a hurry and want immediate changes to their resources.

• A wizard can solve this problem, only presenting the detailed or complicated possibilities if they are indicated by the user.

Page 26: Metadata for the GPII Liddy Nevile. DRD metadata

Other important notes

• Metadata is generated in many ways - by people, by workflow processes, by usage (paradata), etc.

• Full-text searches etc are not useless - they are just different (and complementary, in most cases)

• Quantity has a quality all of its own but in the field of accessibility, quantity is not common.

Remember, we are aiming to support the user’s choice, not to impose constraints on their access to resources!

Page 27: Metadata for the GPII Liddy Nevile. DRD metadata

• Thank you!