SlideShare a Scribd company logo
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance
Robert
Sanderson
rsanderson
@getty.edu
The Provenance of Madame Bonnier:
Museum Linked Data
With Thanks To:
Ruth Cuadra
Brenda Podemski
David Newbury
Kelly Davis
Joan Cobb
Vladimir Alexiev
…
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance
• Case Study: Madame Bonnier
• Data Models: Integration of Object and Provenance
• Lessons Learnt
• Data Ownership vs Stewardship
• Data Quality
• Model Alignment
• Structure or Interaction?
Overview
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance
Portrait of Madame Bonnier de
la Mosson as Diana
Painting
Jean-Marc Nattier (1685 – 1766)
France, 1742
Oil on Canvas
129.5 x 96.8 cm
77.PA.87
Getty Museum
On View: South Pavilion, S202
Madame Bonnier
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Madame Bonnier: Provenance
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Madame Bonnier: Provenance
Museum Provenance Index
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Madame Bonnier: Provenance?
Provenance Index Provenance Index
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Madame Bonnier: Provenance?!
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance I’m Thinking …
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance But Actually …
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Error in the Data :(
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Everyone As
Diana At Some
Point
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Everyone As
Diana At Some
Point
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Everyone As
Diana At Some
Point
Ran out of red
paint?
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance
Portrait of Madame Bonnier de
la Mosson as Diana
Painting
Jean-Marc Nattier (1685 – 1766)
France, 1742
Oil on Canvas
129.5 x 96.8 cm
77.PA.87
Getty Museum
On View: South Pavilion, S202
Madame Bonnier
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Museum Data Model: Description
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Museum Data Model: Provenance
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Museum Data Model: Complete
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Object Data Model: Complete
Start of Provenance
Current Provenance
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance General Provenance Model
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Auctions Model
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance
Lessons Learnt
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Data Ownership vs Stewardship
Provenance Index makes assertions about others’
objects (including Museum)
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Data Ownership vs Stewardship
Provenance Index makes assertions about others’
objects (including Museum)
Authoritative about the documents …
… but not about the objects’ provenance
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Data Ownership vs Stewardship
Provenance Index makes assertions about others’
objects (including Museum)
Authoritative about the documents …
… but not about the objects’ provenance
=> Acting as a steward for the provenance, not the
owner of it
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Data Quality
Linked Data makes errors easier to find …
… but doesn’t correct them for you
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Data Quality
Linked Data makes errors easier to find …
… but doesn’t correct them for you
Quality of LOD is limited by quality of non LOD
input, for purpose of linking
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Data Quality
Linked Data makes errors easier to find …
… but doesn’t correct them for you
Quality of LOD is limited by quality of non LOD
input, for purpose of linking
Beware false precision
=> Automatic inferencing is risky
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Model Alignment
Aligning models is hard, while avoiding false
precision!
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Model Alignment
Aligning models is hard, while avoiding false
precision!
Need to get over “need” for 100% precision,
100% coverage, 100% completeness
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Model Alignment
Aligning models is hard, while avoiding false
precision!
Need to get over “need” for 100% precision,
100% coverage, 100% completeness
=> Start somewhere,
then implement, learn, correct, and iterate
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Structure or Interaction
Linked Data as a Data Model
… provides single structure to implement, query
… acceptable if complete and accurate
Linked Data as an API
… provides data to integrate, use
… acceptable if understandable and usable
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Structure or Interaction
Linked Data as a Data Model
… provides single structure to implement, query
… acceptable if complete and accurate
Linked Data as an API
… provides data to integrate, use
… acceptable if understandable and usable
=> As completeness increases, usability decreases
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance
If it’s not usable, why are we doing it?
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance Final Thoughts
Need to focus on our goals
… not on religious wars around ontologies
Need to find the balance between accuracy and usability
Need to recognize this is HARD and we’re not going to get it
right the first time. Or the second.
Need to keep on keeping on :)
@azaroth42
rsanderson
@getty.edu
LODLessonsLearnt:
Provenance
Rob Sanderson / rsanderson@getty.edu
Thank You!

More Related Content

More from American Art Collaborative

American Art Collaborative Linked Open Data presentation to "The Networked Cu...
American Art Collaborative Linked Open Data presentation to "The Networked Cu...American Art Collaborative Linked Open Data presentation to "The Networked Cu...
American Art Collaborative Linked Open Data presentation to "The Networked Cu...
American Art Collaborative
 
IIIF and Mirador at the YCBA: image based scholarly collaboration and research
IIIF and Mirador at the YCBA: image based scholarly collaboration and researchIIIF and Mirador at the YCBA: image based scholarly collaboration and research
IIIF and Mirador at the YCBA: image based scholarly collaboration and research
American Art Collaborative
 
Linked Open Data at SAAM: Past, Present, Future
Linked Open Data at SAAM: Past, Present, FutureLinked Open Data at SAAM: Past, Present, Future
Linked Open Data at SAAM: Past, Present, Future
American Art Collaborative
 
Expanding Machine-Readable Access Methods for Collections
Expanding Machine-Readable Access Methods for CollectionsExpanding Machine-Readable Access Methods for Collections
Expanding Machine-Readable Access Methods for Collections
American Art Collaborative
 
American Art Collaborative: Perspectives and Considerations
American Art Collaborative: Perspectives and ConsiderationsAmerican Art Collaborative: Perspectives and Considerations
American Art Collaborative: Perspectives and Considerations
American Art Collaborative
 
Getty Vocabularies and LOD Conversion
Getty Vocabularies and LOD ConversionGetty Vocabularies and LOD Conversion
Getty Vocabularies and LOD Conversion
American Art Collaborative
 
The CIDOC CRM Family and LOD
The CIDOC CRM Family and LODThe CIDOC CRM Family and LOD
The CIDOC CRM Family and LOD
American Art Collaborative
 
American Arts Collaborative Grant Planning
American Arts Collaborative Grant PlanningAmerican Arts Collaborative Grant Planning
American Arts Collaborative Grant Planning
American Art Collaborative
 
Linked Data and Tools
Linked Data and ToolsLinked Data and Tools
Linked Data and Tools
American Art Collaborative
 

More from American Art Collaborative (9)

American Art Collaborative Linked Open Data presentation to "The Networked Cu...
American Art Collaborative Linked Open Data presentation to "The Networked Cu...American Art Collaborative Linked Open Data presentation to "The Networked Cu...
American Art Collaborative Linked Open Data presentation to "The Networked Cu...
 
IIIF and Mirador at the YCBA: image based scholarly collaboration and research
IIIF and Mirador at the YCBA: image based scholarly collaboration and researchIIIF and Mirador at the YCBA: image based scholarly collaboration and research
IIIF and Mirador at the YCBA: image based scholarly collaboration and research
 
Linked Open Data at SAAM: Past, Present, Future
Linked Open Data at SAAM: Past, Present, FutureLinked Open Data at SAAM: Past, Present, Future
Linked Open Data at SAAM: Past, Present, Future
 
Expanding Machine-Readable Access Methods for Collections
Expanding Machine-Readable Access Methods for CollectionsExpanding Machine-Readable Access Methods for Collections
Expanding Machine-Readable Access Methods for Collections
 
American Art Collaborative: Perspectives and Considerations
American Art Collaborative: Perspectives and ConsiderationsAmerican Art Collaborative: Perspectives and Considerations
American Art Collaborative: Perspectives and Considerations
 
Getty Vocabularies and LOD Conversion
Getty Vocabularies and LOD ConversionGetty Vocabularies and LOD Conversion
Getty Vocabularies and LOD Conversion
 
The CIDOC CRM Family and LOD
The CIDOC CRM Family and LODThe CIDOC CRM Family and LOD
The CIDOC CRM Family and LOD
 
American Arts Collaborative Grant Planning
American Arts Collaborative Grant PlanningAmerican Arts Collaborative Grant Planning
American Arts Collaborative Grant Planning
 
Linked Data and Tools
Linked Data and ToolsLinked Data and Tools
Linked Data and Tools
 

Recently uploaded

BLOCKCHAIN TECHNOLOGY - Advantages and Disadvantages
BLOCKCHAIN TECHNOLOGY - Advantages and DisadvantagesBLOCKCHAIN TECHNOLOGY - Advantages and Disadvantages
BLOCKCHAIN TECHNOLOGY - Advantages and Disadvantages
SAI KAILASH R
 
Communications Mining Series - Zero to Hero - Session 3
Communications Mining Series - Zero to Hero - Session 3Communications Mining Series - Zero to Hero - Session 3
Communications Mining Series - Zero to Hero - Session 3
DianaGray10
 
MAKE MONEY ONLINE Unlock Your Income Potential Today.pptx
MAKE MONEY ONLINE Unlock Your Income Potential Today.pptxMAKE MONEY ONLINE Unlock Your Income Potential Today.pptx
MAKE MONEY ONLINE Unlock Your Income Potential Today.pptx
janagijoythi
 
Opencast Summit 2024 — Opencast @ University of Münster
Opencast Summit 2024 — Opencast @ University of MünsterOpencast Summit 2024 — Opencast @ University of Münster
Opencast Summit 2024 — Opencast @ University of Münster
Matthias Neugebauer
 
The History of Embeddings & Multimodal Embeddings
The History of Embeddings & Multimodal EmbeddingsThe History of Embeddings & Multimodal Embeddings
The History of Embeddings & Multimodal Embeddings
Zilliz
 
Retrieval Augmented Generation Evaluation with Ragas
Retrieval Augmented Generation Evaluation with RagasRetrieval Augmented Generation Evaluation with Ragas
Retrieval Augmented Generation Evaluation with Ragas
Zilliz
 
UX Webinar Series: Drive Revenue and Decrease Costs with Passkeys for Consume...
UX Webinar Series: Drive Revenue and Decrease Costs with Passkeys for Consume...UX Webinar Series: Drive Revenue and Decrease Costs with Passkeys for Consume...
UX Webinar Series: Drive Revenue and Decrease Costs with Passkeys for Consume...
FIDO Alliance
 
Integrating Kafka with MuleSoft 4 and usecase
Integrating Kafka with MuleSoft 4 and usecaseIntegrating Kafka with MuleSoft 4 and usecase
Integrating Kafka with MuleSoft 4 and usecase
shyamraj55
 
Vertex AI Agent Builder - GDG Alicante - Julio 2024
Vertex AI Agent Builder - GDG Alicante - Julio 2024Vertex AI Agent Builder - GDG Alicante - Julio 2024
Vertex AI Agent Builder - GDG Alicante - Julio 2024
Nicolás Lopéz
 
Feature sql server terbaru performance.pptx
Feature sql server terbaru performance.pptxFeature sql server terbaru performance.pptx
Feature sql server terbaru performance.pptx
ssuser1915fe1
 
Use Cases & Benefits of RPA in Manufacturing in 2024.pptx
Use Cases & Benefits of RPA in Manufacturing in 2024.pptxUse Cases & Benefits of RPA in Manufacturing in 2024.pptx
Use Cases & Benefits of RPA in Manufacturing in 2024.pptx
SynapseIndia
 
Connector Corner: Leveraging Snowflake Integration for Smarter Decision Making
Connector Corner: Leveraging Snowflake Integration for Smarter Decision MakingConnector Corner: Leveraging Snowflake Integration for Smarter Decision Making
Connector Corner: Leveraging Snowflake Integration for Smarter Decision Making
DianaGray10
 
leewayhertz.com-AI agents for healthcare Applications benefits and implementa...
leewayhertz.com-AI agents for healthcare Applications benefits and implementa...leewayhertz.com-AI agents for healthcare Applications benefits and implementa...
leewayhertz.com-AI agents for healthcare Applications benefits and implementa...
alexjohnson7307
 
kk vathada _digital transformation frameworks_2024.pdf
kk vathada _digital transformation frameworks_2024.pdfkk vathada _digital transformation frameworks_2024.pdf
kk vathada _digital transformation frameworks_2024.pdf
KIRAN KV
 
Girls call Kolkata 👀 XXXXXXXXXXX 👀 Rs.9.5 K Cash Payment With Room Delivery
Girls call Kolkata 👀 XXXXXXXXXXX 👀 Rs.9.5 K Cash Payment With Room Delivery Girls call Kolkata 👀 XXXXXXXXXXX 👀 Rs.9.5 K Cash Payment With Room Delivery
Girls call Kolkata 👀 XXXXXXXXXXX 👀 Rs.9.5 K Cash Payment With Room Delivery
sunilverma7884
 
Camunda Chapter NY Meetup July 2024.pptx
Camunda Chapter NY Meetup July 2024.pptxCamunda Chapter NY Meetup July 2024.pptx
Camunda Chapter NY Meetup July 2024.pptx
ZachWylie3
 
Google I/O Extended Harare Merged Slides
Google I/O Extended Harare Merged SlidesGoogle I/O Extended Harare Merged Slides
Google I/O Extended Harare Merged Slides
Google Developer Group - Harare
 
Step-By-Step Process to Develop a Mobile App From Scratch
Step-By-Step Process to Develop a Mobile App From ScratchStep-By-Step Process to Develop a Mobile App From Scratch
Step-By-Step Process to Develop a Mobile App From Scratch
softsuave
 
How UiPath Discovery Suite supports identification of Agentic Process Automat...
How UiPath Discovery Suite supports identification of Agentic Process Automat...How UiPath Discovery Suite supports identification of Agentic Process Automat...
How UiPath Discovery Suite supports identification of Agentic Process Automat...
DianaGray10
 
Mastering OnlyFans Clone App Development: Key Strategies for Success
Mastering OnlyFans Clone App Development: Key Strategies for SuccessMastering OnlyFans Clone App Development: Key Strategies for Success
Mastering OnlyFans Clone App Development: Key Strategies for Success
David Wilson
 

Recently uploaded (20)

BLOCKCHAIN TECHNOLOGY - Advantages and Disadvantages
BLOCKCHAIN TECHNOLOGY - Advantages and DisadvantagesBLOCKCHAIN TECHNOLOGY - Advantages and Disadvantages
BLOCKCHAIN TECHNOLOGY - Advantages and Disadvantages
 
Communications Mining Series - Zero to Hero - Session 3
Communications Mining Series - Zero to Hero - Session 3Communications Mining Series - Zero to Hero - Session 3
Communications Mining Series - Zero to Hero - Session 3
 
MAKE MONEY ONLINE Unlock Your Income Potential Today.pptx
MAKE MONEY ONLINE Unlock Your Income Potential Today.pptxMAKE MONEY ONLINE Unlock Your Income Potential Today.pptx
MAKE MONEY ONLINE Unlock Your Income Potential Today.pptx
 
Opencast Summit 2024 — Opencast @ University of Münster
Opencast Summit 2024 — Opencast @ University of MünsterOpencast Summit 2024 — Opencast @ University of Münster
Opencast Summit 2024 — Opencast @ University of Münster
 
The History of Embeddings & Multimodal Embeddings
The History of Embeddings & Multimodal EmbeddingsThe History of Embeddings & Multimodal Embeddings
The History of Embeddings & Multimodal Embeddings
 
Retrieval Augmented Generation Evaluation with Ragas
Retrieval Augmented Generation Evaluation with RagasRetrieval Augmented Generation Evaluation with Ragas
Retrieval Augmented Generation Evaluation with Ragas
 
UX Webinar Series: Drive Revenue and Decrease Costs with Passkeys for Consume...
UX Webinar Series: Drive Revenue and Decrease Costs with Passkeys for Consume...UX Webinar Series: Drive Revenue and Decrease Costs with Passkeys for Consume...
UX Webinar Series: Drive Revenue and Decrease Costs with Passkeys for Consume...
 
Integrating Kafka with MuleSoft 4 and usecase
Integrating Kafka with MuleSoft 4 and usecaseIntegrating Kafka with MuleSoft 4 and usecase
Integrating Kafka with MuleSoft 4 and usecase
 
Vertex AI Agent Builder - GDG Alicante - Julio 2024
Vertex AI Agent Builder - GDG Alicante - Julio 2024Vertex AI Agent Builder - GDG Alicante - Julio 2024
Vertex AI Agent Builder - GDG Alicante - Julio 2024
 
Feature sql server terbaru performance.pptx
Feature sql server terbaru performance.pptxFeature sql server terbaru performance.pptx
Feature sql server terbaru performance.pptx
 
Use Cases & Benefits of RPA in Manufacturing in 2024.pptx
Use Cases & Benefits of RPA in Manufacturing in 2024.pptxUse Cases & Benefits of RPA in Manufacturing in 2024.pptx
Use Cases & Benefits of RPA in Manufacturing in 2024.pptx
 
Connector Corner: Leveraging Snowflake Integration for Smarter Decision Making
Connector Corner: Leveraging Snowflake Integration for Smarter Decision MakingConnector Corner: Leveraging Snowflake Integration for Smarter Decision Making
Connector Corner: Leveraging Snowflake Integration for Smarter Decision Making
 
leewayhertz.com-AI agents for healthcare Applications benefits and implementa...
leewayhertz.com-AI agents for healthcare Applications benefits and implementa...leewayhertz.com-AI agents for healthcare Applications benefits and implementa...
leewayhertz.com-AI agents for healthcare Applications benefits and implementa...
 
kk vathada _digital transformation frameworks_2024.pdf
kk vathada _digital transformation frameworks_2024.pdfkk vathada _digital transformation frameworks_2024.pdf
kk vathada _digital transformation frameworks_2024.pdf
 
Girls call Kolkata 👀 XXXXXXXXXXX 👀 Rs.9.5 K Cash Payment With Room Delivery
Girls call Kolkata 👀 XXXXXXXXXXX 👀 Rs.9.5 K Cash Payment With Room Delivery Girls call Kolkata 👀 XXXXXXXXXXX 👀 Rs.9.5 K Cash Payment With Room Delivery
Girls call Kolkata 👀 XXXXXXXXXXX 👀 Rs.9.5 K Cash Payment With Room Delivery
 
Camunda Chapter NY Meetup July 2024.pptx
Camunda Chapter NY Meetup July 2024.pptxCamunda Chapter NY Meetup July 2024.pptx
Camunda Chapter NY Meetup July 2024.pptx
 
Google I/O Extended Harare Merged Slides
Google I/O Extended Harare Merged SlidesGoogle I/O Extended Harare Merged Slides
Google I/O Extended Harare Merged Slides
 
Step-By-Step Process to Develop a Mobile App From Scratch
Step-By-Step Process to Develop a Mobile App From ScratchStep-By-Step Process to Develop a Mobile App From Scratch
Step-By-Step Process to Develop a Mobile App From Scratch
 
How UiPath Discovery Suite supports identification of Agentic Process Automat...
How UiPath Discovery Suite supports identification of Agentic Process Automat...How UiPath Discovery Suite supports identification of Agentic Process Automat...
How UiPath Discovery Suite supports identification of Agentic Process Automat...
 
Mastering OnlyFans Clone App Development: Key Strategies for Success
Mastering OnlyFans Clone App Development: Key Strategies for SuccessMastering OnlyFans Clone App Development: Key Strategies for Success
Mastering OnlyFans Clone App Development: Key Strategies for Success
 

The Provenance of Madame Bonnier: Museum Linked Data

Editor's Notes

  1. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt. 
  2. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt. 
  3. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt. 
  4. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt. 
  5. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt. 
  6. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt. 
  7. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt. 
  8. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt. 
  9. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt. 
  10. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt. 
  11. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt. 
  12. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt. 
  13. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt. 
  14. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt. 
  15. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt. 
  16. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt. 
  17. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt. 
  18. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt. 
  19. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt. 
  20. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt. 
  21. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt. 
  22. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt. 
  23. Madame Bonnier de la Mosson, a member of Parisian society whose literary salon was a popular meeting place for the most noted people of her day, appears as Diana, goddess of the moon, the forest, and the hunt.