Sommaire
Data&Musée project collect datasets mainly about Centre des Monuments Nationaux (Center of National Monuments).
This page gives a general description of datasets with some links -when publicly availables- to access of each dataset and a link to a more precise description for some datasets.
All datasets aren’t publicly available.
Members of CMN and associated data
FCMN1: Excel file with a list of CMN members and URL of associated sites
https://ws49-cl4-nextcloud.tl.teralab-datascience.fr/index.php/s/gXoLffdLQG2dRso
FCMN2: datasets related to CMN registered on data.gouv.fr, 3/10/2018, CSV file
https://ws49-cl4-nextcloud.tl.teralab-datascience.fr/index.php/s/3dnbcW3Bk8Bb5Wm
8 datasets, translated titles:
- Rates of cinematographic shots in national monuments
- Rates of photographic shots in national monuments
- Ranking of national monuments by category: Word file difficult to exploit automatically
- Attendance of national monuments (last update 2016)
- List of Heritage Publications
- Hosting activities of filming and filmography in national monuments
- List of GPS coordinates of national monuments
- Practical information of national monuments
GPS coordinates of the monuments
FCMN3: GPS coordinates of the monuments
File obtained from data.gouv.fr. ODS file (OpenDocument) translated to CSV and JSON.
JSON file:
https://ws49-cl4-nextcloud.tl.teralab-datascience.fr/index.php/s/naRCbxooGmwHPij
Monuments by categories
FCMN4: Monuments by categories, RDF/Turtle file
From the word file Classement des monuments nationaux par catégorie referenced on data.gouv.fr, we produce a TTL file. Each monument is represented with the following model:
dm:Arc_de_Triomphe dbpedia-owl:country dbpedia-fr:France ;
foaf:name “Arc de Triomphe”@fr ;
dm:categoryName “Monuments de catégorie A”@fr ;
dm:departmentName “Paris”@fr ;
dm:regionName “Paris/Ile-de-France”@fr .
Practical data (hours, …)
Derived from FCMN1 above, the base URL of each website associated with a museum or monument was used to retrieve practical information (rates, hours and opening days …). We build a URL
<base url>/generate_json
to get JSON file.
We get 91 files with practical data.
Directory with 91 files:
https://ws49-cl4-nextcloud.tl.teralab-datascience.fr/index.php/s/MKks3Cns85pcoTS
Note:
- four request fail (http://abbaye-charroux.fr/generate_json, http://fort-bregancon.fr/generate_json, http://hotel-de-sully.fr/generate_json, http://mapierrealedifice.fr/generate_json)
- practical data are inequaly completed from one site to the other
- there is no period of validity information
Google Analytics
Access is open to Google Analytics data for various CMN websites.
The exploitation of these data has not been completed on 3/3/2019. Several questions arise:
- what level of history do we have?
- what information is available by program (API)?
- which information do you think is useful for Data & Museum?
Ticketing data
Ticketing data began to be provided as Excel files.
These files have been translated into json to facilitate their integration into subsequent processes.
The graph identifier http://givingsense.eu/datamusee/onto/billetterie/cmn was built forthis data, accessible on the SPARQL access point
https://ws49-cl4-jena.tl.teralab-datascience.fr/datamusee/sparql
Read access to this access point is restricted, limited to project partners.
| Period | 23/10/2013 to 13/9/2018 |
|---|---|
| Transactions | 307247 |
| Users who made multiple purchases on different dates | 14663 |
| Users who have made multiple purchases | 191246 |
The data of the ‘monument database’ list transactions on the following model:
{
“Code-barres salé et hashé”: “c1e2f93d057ec250421859ec015da5200ea4306d5da577d730f650a77ecc1f17”,
“Code salle”: “127”,
“Salle”: “Salses (contrôle accès)”,
“ValiditeDroitDateDebut”: “2017-06-21 00:00:00”,
“ValiditeDroitDateFin”: “2018-06-21 00:00:00”,
“DateHeurePassage”: “2017-08-08 16:12:00”
}
The JSON files are in the folder:
https://ws49-cl4-nextcloud.tl.teralab-datascience.fr/index.php/s/EmDXySQnXEPAWMP
(private link)
The value of the “Code-barres salé et hashé” field is referenced in the following file.
Each transaction is on the following model:
- data about the visitor
‘Code contact salé et hashé’: ‘8536b1d1ddca09ab1379caa34b0ec2ef20c7068badce989845a5d9633ba0aa5e’,
‘Courriel bas de casse salé et hashé’: ‘c3d134f0ed020e43154c4b61501b1586ed75a9ebc31e23eab0547d5a8ef32806’,
‘Civilite’: ‘MME’,
‘Code postal’: ‘68500’,
‘Ville (en capitale)’: ‘ORSCHWIHR’,
‘Code pays’: ‘FR’,
‘Pays’: ‘FRANCE’,
‘Acceptation être contacté(e)’: ‘O’,
‘Année de naissance’: ‘1963’,
- data about the monument:‘Identifiant national du monument’: ‘127504’, ‘Nom du monument’: ‘CONCIERGERIE’,
- data about the transaction
‘Code transaction salé et hashé’: ‘4b3d381eeb79c55a27c51ca1d88ea01047500bb1dbc89464dee5a4a4444b49ab’,
‘Code vente salé et hashé’: ‘e95ac6e1afe75d83ed86acf97841fda3e8709b4f9a197f0aa4ed96de499dd104’,
‘Date et heure de vente’: ‘2013-10-23 14:06:00’,
‘Code-barres salé et hashé’: ‘77533cadf7d8bb44e6071f8a9fd0c9ad7e3e2e3902fb8fda59a03bba2670196f’,
‘Code produit’: ‘@01122’,
‘Libelle court produit’: ‘WEB IND Conciergerie PT’,
‘Prix unitaire’: 9.5
The first processing on a limited dataset show that
- 29 people made contributions in Paris Museums’ gold books and also made e-ticket purchases at the CMN (84 transactions, 25 French, 2 Spanish, 2 Brazilian)
- 14663 people made purchases on the CMN on several different dates
- 191246 people made several purchases on the CMN (out of a total of 307247 transactions)
Linked Open Data
See Données du LOD
RSS feed
RSS feeds have been set up. They give access to news about the associated places: exhibitions, events, activities …
The urls of these feeds are not currently publicly available.
· Arc de Triomphe
· Conciergerie
· Sainte-Chapelle
· Panthéon
· Château de Vincennes
· Chapelle expiatoire
· Hotel de la Marine
· Palais Royal
· Hotel de Sully
· Bastille
· Tour de Notre-Dame
· Maison des Jardies
· Domaine de St-Cloud
Données de Livres d’Or
Electronic Guestbook data is available from 2018 (by project partners). The 2019 data have not yet been observed.
For 2018, we have the following elements:
| Number of contributions | 10754 (total) | 9250 (fr) | 1007 (en) | 395 (es) |
|---|---|---|---|---|
| Multiple contributions | 78 |
Sample presentation: contributions per week
