2019:Research/Wiki-Atlas: Rendering Wikipedia Content through Cartographic and Augmented Reality Mediums

From Wikimania
Jump to navigation Jump to search
Notes


Abstract[edit | edit source]

Wiki Atlas, is a web platform that enables the exploration of Wikipedia content in a manner that explicitly links geography and knowledge. To explore content, users can click and interact with three dimensional polygon structures, each corresponding to a wikipedia article embedded in geographic space. As a use case example, let's imagine a user who is eager to explore museums in the city of London. By setting 'London' as the city of interest in the location search container available on the map and typing the 'Museum' search keyword, they can view all museums in the city that are featured in Wikipedia. Using Mapbox as the primary cartography platform for development, the Atlas offers global coverage with users being able to explore geo-tagged Wikipedia content wherever it is present around the world. Our first prototype of the altas features almost 1.2 million articles of the English Wikipedia, as well as five other popular languages and expanding. Moreover, we are in the process of integrating new tools for personalisation that, for example, will allow users to save lists of articles (“knowledge lists”) in order to view them at a later time or share them with peers. Besides being a general knowledge exploration tool, we aspire that Wiki Atlas also evolves to a knowledge discovery and learning platform that will help educators and students alike to systematically acquire knowledge through a fun and interactive medium. In this presentation, we will walk through a demo of the tool and the technologies that were used to build it, aiming at receiving feedback from the community in terms of improvements as well as possible future directions and use cases that could be enabled through the platform. Moreover, we will take some time towards the end of the presentation to showcase a mobile version of the Atlas that is currently under development at New York University and involves the geographic discovery of knowledge through Augmented Reality and Computer Vision technologies. We will discuss the possibilities and opportunities for novel way not only to acquire, but also contribute media other content, through new immersive mediums.

Authors[edit | edit source]

Anastasios Noulas (New York University)
Jimin Tan (New York University)
Diego Sàez (Wikimedia Foundation)
Rossano Schifanella (University of Turin)

Session type[edit | edit source]

22-min presentation.

Participants [subscribe here!][edit | edit source]

Hadyelsahar (talk) 10:04, 6 August 2019 (UTC)

# ...