Paris trip advisor 1909: Difference between revisions
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*20% of the data extracted and annotated | *20% of the data extracted and annotated | ||
*Verifying the data quality | *Verifying the data quality | ||
*Searching for missing data and additional data (e.g. posters and photos) | |||
*Scheduling and drawing up the project plan | *Scheduling and drawing up the project plan | ||
Revision as of 10:54, 13 November 2018
The project aims to digitalize the Plan des plaisirs et attractions de Paris created by Le Nature in 1909, and to augment it with the information contained in the Guide dés plaisirs à Paris. The services that would be provided are the display of cultural places in the map that have linked pages with individualized further information, the segmentation on the map of different types of entertainment and an "exploratory mode" which would tell a narrative on a specific moment in 1909 in Paris.
Motivations
Recreating a cultural geography of Paris at the beginning of the 20th century
Ideas
- Mapping places on the map to their information on guide:
- Show pages containing the name of the place
- Adding more information about places
- Compare each attraction to the contemporary place
- Image of building in past and now
- Giving a general view about attractions in Paris in 1909:
- Show restaurants, bars, theaters in different groups to see the distribution of them.
- Show information about opening hours and prices
- Mapping narrative of guide to route on the map.
- Show routes and walking tours
Resources
Principal Resources
Additional Resources
Data extraction
Reading guide to extract engaging narratives to recommend users
Solution
Implementing a website with a database using Python, Django, and PostgreSQL to:
- Entering information about places manually to store in database
- Exploring map UI and use services
Project Plan and Milestones
Milestone 1: Concept (up to 4 Nov)
- First brainstorming and first sketch of ideas
- Exploring the map and the sources
- Developing the overall concept of the project
Milestone 2: Data extraction (9 Nov)
- Selecting the types of data to be extracted
- 20% of the data extracted and annotated
- Verifying the data quality
- Searching for missing data and additional data (e.g. posters and photos)
- Scheduling and drawing up the project plan
Milestone 3: Design and Data Processing (14 Nov)
- Designing the prototype on paper (wireframes)
- Selecting the features of the application
- Making the improvement of the map
- Searching for the best technical way to show clickable points corresponding to the places on the map
- Preparing the midterm presentation
Milestone 4: Database implementation (28 Nov)
- Developing a web app for entering the data:
- Initialization of Django application
- Design and implementation of the database in SQL
- Deploying the first version of the web application: the website will be deployed on a public URL and team members will have access to input extracted information to the database.
- Extracting of the rest of the data
- Adding new data to the app database
Milestone 5: Development of the platform (14 Dec)
- Designing the entry story
- Implementing the services of the app:
- Displaying the map and the project description
- Implementing the UI to explore the map and the places
- Adding search and filter functionalities
- Displaying the annotation of each place
- Displaying additional data and tutorial pop-ups
- Adding the recommendations page
- Refactoring the github repository to submit
Milestone 6: Presenting the Results (19 Dec)
- Preparing the final presentation
- Writing the report
- Deploying the final version of the web application for public usage
Team
- Alina, Maryam, and Paola