2023:Program/Open Data/XGTFH3-Giving Contexts to Places We Love - The Power of OpenStreetMap and Wikidata

Title: Giving Contexts to Places We Love - The Power of OpenStreetMap and Wikidata

Speakers:

James Amattey

I am a product manager with deep lying interest in mobility. With this talk, I hope to give more context to various point of interest in our communities, thereby enriching navigation experiences. I have worked extensively on OpenStreetMap and look to share my new discovery with you.

Pretalx link

Etherpad link

Room: Plenary Hall

Start time: Thu, 17 Aug 2023 14:55:00 +0800

End time: Thu, 17 Aug 2023 15:15:00 +0800

Type: Lecture

Track: Open Data

Submission state: confirmed

Duration: 20 minutes

Do not record: false

Presentation language: en


Abstract & description edit

Abstract edit

Let’s explore the power of Wikidata and OpenstreetMap by performing simple queries for different use cases

Description edit

As a knowledge graph, wikidata is the largest in the world.

As locations go, OpenStreetMap is the most detailed map of the world.

Combining the two creates a powerful repository of information that can give more context to various point of interests.

In this short workshop, we shall explore the prowess of a combination of both tools, both programmatically and syntactically.

Further details edit

Qn. How does your session relate to the event themes: Diversity, Collaboration Future?

The OpenStreetMap and Wikimedia communities are very huge, with alot of overlapping interests.

A collaboration between two of the biggest open source communities augers well for both projects and communities.

Qn. What is the experience level needed for the audience for your session?

Everyone can participate in this session

Qn. What is the most appropriate format for this session?

  •   Onsite in Singapore
  •   Remote online participation, livestreamed
  •   Remote from a satellite event
  •   Hybrid with some participants in Singapore and others dialing in remotely
  •   Pre-recorded and available on demand