The Importance of being LOUD

Robert Sanderson
Robert SandersonDirector for Cultural Heritage Metadata
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TheImportanceof
BeingLOUD
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The Importance of
Being LOUD
Rob Sanderson
Semantic Architect
rsanderson@getty.edu
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http://w3.org/TR/json-ld11
https://iiif.io/
https://linked.art/model/
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BeingLOUD
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RDF is a Pain
People think RDF is a pain because it is
complicated. The truth is even worse. RDF is
painfully simplistic, but it allows you to work
with real-world data and problems that are
horribly complicated.
-- Dan Brickley and Libby Miller
http://book.validatingrdf.com/bookHtml005.html
“ ”
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RDF: Not In My Backyard!
Image By Z22 - https://commons.wikimedia.org/w/index.php?curid=30929934Title: http://manu.sporny.org/2012/nuclear-rdf/
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Data: Easy to Use … by Humans
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LOD: Easy to Use … by Machines
<http://vocab.getty.edu/aat/300015045> <http://www.w3.org/1999/02/22-rdf-syntax-
ns#type> <http://www.cidoc-crm.org/cidoc-crm/E57_Material> .
<http://vocab.getty.edu/aat/300015045> <http://www.w3.org/2000/01/rdf-
schema#label> "Terracotta" .<http://vocab.getty.edu/aat/300148696>
<http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://www.cidoc-
crm.org/cidoc-crm/E55_Type> .<http://vocab.getty.edu/aat/300148696>
<http://www.w3.org/2000/01/rdf-schema#label> "Amphora" .
<https://data.getty.edu/museum/11733> <http://www.cidoc-crm.org/cidoc-
crm/P108i_was_produced_by> <https://data.getty.edu/museum/11733/create> .
<https://data.getty.edu/museum/11733> <http://www.cidoc-crm.org/cidoc-
crm/P2_has_type> <http://vocab.getty.edu/aat/300148696> .
<https://data.getty.edu/museum/11733> <http://www.cidoc-crm.org/cidoc-
crm/P45_consists_of> <http://vocab.getty.edu/aat/300015045> .
<https://data.getty.edu/museum/11733> <http://www.w3.org/1999/02/22-rdf-syntax-
ns#type> <http://www.cidoc-crm.org/cidoc-crm/E22_Man-Made_Object> .
<https://data.getty.edu/museum/11733> <http://www.w3.org/2000/01/rdf-
schema#label> "Attic Black-Figure Neck Amphora" .
<https://data.getty.edu/museum/11733/create> <http://www.w3.org/1999/02/22-rdf-
syntax-ns#type> <http://www.cidoc-crm.org/cidoc-crm/E12_Production> .<
https://data.getty.edu/museum/11733/create> <http://www.w3.org/2000/01/rdf-
schema#label> "Creation event" .
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BeingLOUD
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LOUD: Easy to Use … by Humans
{
"@context": "https://linked.art/ns/v1/linked-art.json",
"id": "https://data.getty.edu/museum/11733",
"type": "HumanMadeObject",
"_label": "Attic Black-Figure Neck Amphora",
"classified_as": [{
"id": ”http://vocab.getty.edu/aat/300148696",
"type": "Type", "_label": "Amphora" }]
"produced_by": {
"id": " https://data.getty.edu/museum/11733/create",
"type": "Production", "_label": "Creation event"}
}
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TheImportanceof
BeingLOUD
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With thanks to Patrick Hochstenbach, @hochstenbach
LOUD: Easy to Use … by ... Humans?
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TheImportanceof
BeingLOUD
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LOUD: Easy to Use … by Developers!
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The API is the Developers' User Interface
When it comes to APIs, developers are
your users. The same principles of user-
centred-design apply to the development
and publication of APIs (simplicity,
obviousness, fit-for-purpose etc)
http://apiguide.readthedocs.io/en/latest/principles/empathy.html
“ ”
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TheImportanceof
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Successful APIs …
• Solve actual challenges, documented as use cases
• Using data that is captured and available
• Allow consistent implementation of shared use cases
• Allow for addition of further functionality
• Can be productively used
• Via easy-to-implement services
• With easy-to-implement applications
• Provide interoperability between data and systems
• Are clearly documented with relevant examples
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Successful APIs …
Are developed …
• Iteratively
• Build upon success and learn from failure
• Responsively
• Adapt in response to feedback
• Responsibly
• Consider changes/features carefully
• Collaboratively
• Engage with the community and stakeholders
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Evaluation?
/ht Michael Barth, Ulm University
 Abstraction level
 Comprehensibility
 Consistency
 Discoverability / Documentation
 Domain Correspondence
 Few Barriers to Entry
 Extensibility
 Infrastructure
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A Community
that develops APIs,
implements them in Software,
and exposes interoperable Content
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BeingLOUD
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APIs: Agreement Preceding Interaction*
Presentation
Search
Image
Authentication
(* API is really: Application Programming Interface)
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Simplicity and Usability
https://twitter.com/danieltbrennan/status/1223317192613212160
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IIIF Image API
http://iiif.io/api/image/
URL pattern to access pixels and technical information
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TheImportanceof
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IIIF Presentation API
Just enough structure & description data to drive a viewer
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AoE with highlights
http://iiif.io/api/presentation/
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BeingLOUD
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IIIF Design Patterns
1. Scope design through shared use cases
2. Design for international use
3. As simple as possible, but no simpler
4. Make easy things easy, complex things possible
5. Avoid dependency on specific technologies
6. Use REST / Don’t break the web
7. Separate concerns, keep APIs loosely coupled
8. Design for JSON-LD, using LOD principles
9. Follow existing standards, best practices, when possible
10. Define success, not failure (for extensibility)
https://iiif.io/api/annex/notes/design_patterns/
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Is IIIF Actually LOUD?
• IIIF is JSON-LD ... used as if it were JSON
• IIIF APIs are focused on Presentation, not Semantics
• Usability considered more important than Precision
• Document structure / graph boundary is enforced by
the API specifications
• Presentation: Collection, Manifest
• Image: Info.json
• Discovery, Search: Stream/Results, Page
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Is IIIF Actually LOUD?
• Discovery (and paging) use W3C ActivityStreams
• Also not very Linked
• Also very successful
• Annotations are the only core affordance that cross
institutional boundaries
• Services and Extensibility are important facets that
rely on Linked Data
• Image and Presentation 3.0 use JSON-LD 1.1 as it
is intended to be used …
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Appropriate Level of Abstraction
For one audience, JSON is the right level of abstraction.
For another audience, RDF is the right level.
JSON-LD’s magic is that both can be the same syntax.
Other JSON[-LD] work:
• Verifiable Claims, Distributed Identifiers
• Web of Things
• Web Annotation, ActivityStreams
• All of which is (currently) dwarfed by …
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Schema.Org is JSON-LD
28.8% of all websites have JSON-LD data
json api xml api
https://trends.google.com/trends/explore?date=all&q=json%20api,xml%20api
(Jan 2020) https://w3techs.com/technologies/details/da-jsonld/all/all
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Sidebar: JSON-LD 1.1 in 2020
• Process
• In Candidate Recommendation
• Second CR coming end of Feb
• Final before June
• New Features!
• Contexts scoped to Class or Predicate
• Protected contexts that can’t be redefined
• Better Internationalization support
• Formalizes Framing algorithm
• ... Plus many more!
http://w3.org/TR/json-ld11
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Non-Separable Abstraction Levels?
• Ontology
• Available Classes, Properties and their meaning
• API
• How to interact with the data over the network
• LOD does not separate Ontology and API by requiring
the syntax to directly encode the model
• JSON-LD contexts allow them to be pulled apart enough
to improve usability for non-RDF usage
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Abstraction Levels: Further Separation
• Conceptual Model
• Abstract way to think about the world
• Ontology
• Shared format to write down that thinking
• Vocabulary
• Selected set of domain specific terms
• Application Profile
• Selection and application of model, ontology
vocabulary and format for specific domain
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W3C Priority of Constituencies
In case of conflict, consider …
https://www.w3.org/TR/html-design-principles/
“
”
users …
over authors …
over implementors …
over theoretical purity.
Developers
Data Editors
Tool Builders
Ontology
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Linked Art Model
A Linked Open Usable Data model, collaboratively designed
to work across cultural heritage organizations, that is easy
to publish and enables a variety of consuming applications.
Design Principles:
• Focused on Usability, not 100% precision / completeness
• Consistently solves actual challenges from real data
• Development is iterative, as new use cases are found
• Solve 90% of use cases, with 10% of the effort
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Linked Art Collaboration
Working to formalize the profile, funded by Kress & AHRC
• Getty
• Rijksmuseum
• Louvre
• Metropolitan Museum of Art
• Smithsonian
• MoMA
• V&A
• NGA
• Philadelphia Art Museum
• Indianapolis Art Museum
• The Frick Collection
• Harvard University
• Princeton University
• Yale Centre for British Art
• Oxford University
• Academica Sinica
• ETH Zurich
• FORTH
• Zeri Foundation (U. Bologna)
• Canadian Heritage Info. Network
• American Numismatics Society
• Europeana
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Usable vs Complete: Target Zone
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Linked Art is LOUD
https://linked.art/
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Conceptual Model From 50,000 Feet
what
when
who
where
/
how
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Progressive Enhancement Principle
• Legacy Records
• No “things”, just descriptions
• Data for Humans
• Core entities, with attached descriptions
• Data for Machines
• Linked entities with machine-readable values
• Data for Research
• Sufficient precision to answer research
questions from aggregated data
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Legacy: Strings for Humans
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Object Type
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Title
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BeingLOUD
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TheImportanceof
BeingLOUD
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Identifier / Accession Number
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Dimension Statement
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Data for Machines: From Strings to Values
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Data for Machines: Linking Entities
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TheImportanceof
BeingLOUD
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Data for Machines: Linking Across Institutions
• Part of the Web
• Not just on the web
• Shared Cataloging
• No need for everyone to describe everything
• Improved Discovery
• By leveraging the connections for search
• Better Research Results
• By taking into account more information
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TheImportanceof
BeingLOUD
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BeingLOUD
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BeingLOUD
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BeingLOUD
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Core Patterns
• Class versus Classification
• Names and Identifiers
• Statements
• Partitioning
• Subdivision of thing, concept, activity, place
• Human Activity
• Human involvement is critical for art
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Linked Art: Easy to Use … by Humans!
{
"@context": "https://linked.art/ns/v1/linked-art.json",
"id": "https://data.getty.edu/museum/11733",
"type": "HumanMadeObject",
"_label": "Attic Black-Figure Neck Amphora",
"classified_as": [{
"id": ”http://vocab.getty.edu/aat/300148696",
"type": "Type", "_label": "Amphora" }]
"produced_by": {
"id": " https://data.getty.edu/museum/11733/create",
"type": "Production", "_label": "Creation event"}
}
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Thank You!
https://linked.art/
Rob Sanderson
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The Importance of being LOUD

Editor's Notes

  1. I think Many Sporny perfectly captured the sentiment: When developers hear “RDF” or “the Semantic Web” or “SPARQL” they think: Not in my back yard, people have died from that stuff!
  2. Michael Barth has six fundamental features for API evaluation, which relate directly to the value of the API as a standard for use. This seems like a good starting point for standards for digital interoperability. Abstraction Level -- is the abstraction of the data and functionality appropriate to the audience and use cases. An end user of the "car" API presses a button or turns a key. A "car" developer needs access to engine directly. Comprehensibility -- is the audience able to understand how to use it to accomplish their goals Consistency -- if you know the "rules" of the API, how well does it stick to them? Or how many exceptions are there to a core set of design principles Documentation -- How easy is it to find out the functionality of the API? Domain Correspondence -- If you understand the core domain of the data and API, how closely does the understanding of the domain align with an understanding of the data? And what barriers to getting started are there? There are two more that I think are important.
  3. Need to have the rules of the game before two systems can interact
  4. Need to have the rules of the game before two systems can interact
  5. The core functionality. Not just an image tag, but also not photoshop on the web.
  6. Just enough information to present the context of the images in a way that the user can understand what they’re interacting with. Structure of the object and its metadata in a pre-processed form for rendering in a client … so not a semantic metadata API.
  7. The community engagement with JSON-LD has been unprecedented, notably due to Google’s adoption of it and the usability focus of schema.org.
  8. Intent of a profile is to select only the relevant parts of the lower level definitions that are needed.
  9. Further restrict the model / ontology to ensure that the data is usable.
  10. Less important for IIIF to be complete as it’s about presentation not semantics. But for semantic description…
  11. E22 HumanMadeObject is the ontology term for the class of Human Made Objects in the conceptual model, and type is the relationship between things and their classes. The label is a constructed piece of text to label the resource, in the absence of any other data. Intended for developers looking at the data, not intended for directly being displayed to “real” humans.
  12. Turns out that there are two sorts of things that speak in numbers … computers, and librarians.
  13. That should help. We use the Getty’s Art and Architecture Thesaurus.
  14. That should help. We use the Getty’s Art and Architecture Thesaurus.
  15. We know that this is the primary name, because it was called title, not alternate title.
  16. We know that this is the primary name, because it was called title, not alternate title.
  17. And now we’re at the 50’ foot view, with an activity in the middle and who, what, when and where around the outside. Models for all of these other entities as well to capture useful knowledge for shared use cases.
  18. No one has all of the knowledge, and to try to gather everything together and keep it persistently available and up to date is impossible below the scale of Google.
  19. No one has all of the knowledge, and to try to gather everything together and keep it persistently available and up to date is impossible below the scale of Google.